generated from byu-transpolab/template_bookdown
-
Notifications
You must be signed in to change notification settings - Fork 0
/
resiliency.bib
772 lines (708 loc) · 60.1 KB
/
resiliency.bib
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
@inproceedings{abdel2007,
title = {Assessing Surface Transportation Network Component Criticality: {{A}} Multi-Layer Graph-Based Approach},
booktitle = {2007 {{IEEE}} Intelligent Transportation Systems Conference},
author = {{Abdel-Rahim}, A. and Oman, P. and Johnson, B.K. and Sadiq, R.A.},
year = {2007},
pages = {1000--1003},
doi = {10.1109/ITSC.2007.4357801}
}
@incollection{agarwal2011,
title = {A Systems Approach to Vulnerability Assessment},
booktitle = {Vulnerability, Uncertainty, and Risk},
author = {Agarwal, Jitendra and Liu, Mei and {David Blockley}},
year = {2011},
eprint = {https://ascelibrary.org/doi/pdf/10.1061/41170\%28400\%2928},
pages = {230--237},
doi = {10.1061/41170(400)28}
}
@article{anbazhagan2011,
title = {Classification of Road Damage Due to Earthquakes},
author = {Anbazhagan, Panjamani and Srinivas, Sushma and Chandran, Deepu},
year = {2011},
journal = {Natural Hazards},
volume = {60},
number = {2},
pages = {425--460},
doi = {10.1007/s11069-011-0025-0}
}
@article{berdica2002,
title = {An Introduction to Road Vulnerability: What Has Been Done, Is Done and Should Be Done},
author = {Berdica, Katja},
year = {2002},
journal = {Transport Policy},
volume = {9},
number = {2},
pages = {117--127},
issn = {0967-070X},
doi = {10.1016/S0967-070X(02)00011-2},
abstract = {Vulnerability in the road transportation system, studied not only from a safety point of view but also as a problem of an insufficient level of service, is proposed as a setting for future transport studies. This relatively new notion is conceptualised by discussing a number of definitions and related concepts, reviewing especially the concept of reliability as a feasible theoretical approach. The paper relates how vulnerability related problems have been addressed so far, current developments and finally what the future should hold in order to provide us with the comprehensive network analysis tool that our complex society calls for.},
keywords = {Literature review,Reliability,Road network,Vulnerability}
}
@article{bradley2007,
title = {Time Period and Risk Measures in the General Risk Equation},
author = {{James Bradley}},
year = {2007},
journal = {Journal of Risk Research},
volume = {10},
number = {3},
eprint = {https://doi.org/10.1080/13669870701252232},
pages = {355--369},
publisher = {Routledge},
doi = {10.1080/13669870701252232}
}
@article{dong2006,
title = {Moving from Trip-Based to Activity-Based Measures of Accessibility},
author = {Dong, Xiaojing and {Ben-Akiva}, Moshe E. and Bowman, John L. and Walker, Joan L.},
year = {2006},
journal = {Transportation Research Part A: Policy and Practice},
volume = {40},
number = {2},
pages = {163--180},
issn = {0965-8564},
doi = {10.1016/j.tra.2005.05.002},
abstract = {This paper studies the properties and performance of a new measure of accessibility, called the activity-based accessibility (ABA) measure, and compares it to traditional measures of accessibility, including isochrone, gravity and utility-based measures. The novel aspect of the ABA is that it measures accessibility to all activities in which an individual engages, incorporating constraints such as scheduling, and travel characteristics such as trip chaining. The ABA is generated from the day activity schedule (DAS) model system, an integrated system based on the concept of an activity pattern, which identifies the sequence and tour structure among all the activities and trips taken by an individual during a day. A byproduct is an individual's expected maximum utility over the choices of all available activity patterns, and from this the ABA is derived. The ABA is related to the logsum accessibility measures frequently derived from destination and mode discrete choice models. The key difference is that it is generated not by examining a particular trip, but by examining all trips and activities throughout the day. A case study using data from Portland, Oregon, demonstrates the rich picture of accessibility made available by use of the ABA, and highlights differences between the ABA and more traditional measures of accessibility. The ABA is successful in (a) capturing taste heterogeneity across individuals (not possible with aggregate accessibility measures), (b) combining different types of trips into a unified measure of accessibility (not possible with trip-based measures), (c) reflecting the impact of scheduling and trip chaining on accessibility (not possible with trip-based measures), and (d) quantifying differing accessibility impacts on important segments of the population such as unemployed and zero auto households (not possible with aggregate measures, and limited with trip-based measures).}
}
@article{ganin2017,
title = {Resilience and Efficiency in Transportation Networks},
author = {Ganin, Alexander A and Kitsak, Maksim and Marchese, Dayton and Keisler, Jeffrey M and Seager, Thomas and Linkov, Igor},
year = {2017},
journal = {Science advances},
volume = {3},
number = {12},
pages = {e1701079},
publisher = {American Association for the Advancement of Science}
}
@techreport{hamedi2018,
title = {Analyzing Impact of {{I-85}} Bridge Collapse on Regional Travel in Atlanta},
author = {Hamedi, Masoud and Eshragh, Sepideh and Franz, Mark and Sekula, Przemyslaw Michal},
year = {2018}
}
@misc{GDOT2017,
title = {I-85 Bridge Collapse and Rebuild},
author = {{GDOT}},
year = {2017}
}
@misc{UDOT2020,
title = {{{UDOT}} Asset Risk Management Process},
author = {of Transportation, Utah Department},
year = {2020}
}
@misc{aem2020,
title = {Risk and {{Resilience Analysis Procedure}}},
author = {{AEM}},
year = {2020},
publisher = {Colorado Department of Transportation}
}
@incollection{berdica2007,
title = {Vulnerability: A Model-Based Case Study of the Road Network in {{Stockholm}}},
booktitle = {Critical Infrastructure},
author = {Berdica, Katja and Mattsson, Lars-G{\"o}ran},
year = {2007},
pages = {81--106},
publisher = {Springer}
}
@article{geurs2004,
title = {Accessibility Evaluation of Land-Use and Transport Strategies: Review and Research Directions},
author = {Geurs, Karst T. and {van Wee}, Bert},
year = {2004},
journal = {Journal of Transport Geography},
volume = {12},
number = {2},
pages = {127--140},
issn = {0966-6923},
doi = {10.1016/j.jtrangeo.2003.10.005},
abstract = {A review of accessibility measures is presented for assessing the usability of these measures in evaluations of land-use and transport strategies and developments. Accessibility measures are reviewed using a broad range of relevant criteria, including theoretical basis, interpretability and communicability, and data requirements of the measures. Accessibility impacts of land-use and transport strategies are often evaluated using accessibility measures, which researchers and policy makers can easily operationalise and interpret, such as travelling speed, but which generally do not satisfy theoretical criteria. More complex and disaggregated accessibility measures, however, increase complexity and the effort for calculations and the difficulty of interpretation. The current practice can be much improved by operationalising more advanced location-based and utility-based accessibility measures that are still relatively easy to interpret for researchers and policy makers, and can be computed with state-of-the-practice data and/or land-use and transport models. Research directions towards theoretically more advanced accessibility measures point towards the inclusion of individual's spatial--temporal constraints and feedback mechanisms between accessibility, land-use and travel behaviour. Furthermore, there is a need for theoretical and empirical research on relationships between accessibility, option values and non-user benefits, and the measurement of different components of accessibility.},
keywords = {Accessibility,Land-use,Policy evaluation,Transport}
}
@article{geurs2010,
title = {Accessibility Appraisal of Land-Use/Transport Policy Strategies: {{More}} than Just Adding up Travel-Time Savings},
author = {Geurs, Karst and Zondag, Barry and {de Jong}, Gerard and {de Bok}, Michiel},
year = {2010},
journal = {Transportation Research Part D: Transport and Environment},
volume = {15},
number = {7},
pages = {382--393},
issn = {1361-9209},
doi = {10.1016/j.trd.2010.04.006},
abstract = {We examine the accessibility benefits associated with some land-use policy strategies for the Netherlands that anticipate on expected climate change. A disaggregate logsum accessibility measure using the Dutch national land-use/transport interaction model TIGRIS XL is used to compute changes in consumer surplus. The measure provides an elegant and convenient solution to measure the full accessibility benefits from land-use and/or transport policies, when discrete choice travel-demand models are available that already produce logsums. It accounts for both changes in generalised transport costs and changes in destination utility, and is thus capable of providing the accessibility benefits from changes in the distribution of activities, due to transport or land-use policies. The case study shows that logsum accessibility benefits from land-use policy strategies can be quite large compared to investment programmes for road and public transport infrastructure, largely due to changes in trip production and destination utility, which are not measured in the standard rule-of-half benefit measure.},
keywords = {Land-use policies,Logsum accessibility benefits,Travel-time savings}
}
@article{guze2014,
title = {Graph Theory Approach to Transportation Systems Design and Optimization},
author = {Guze, Sambor},
year = {2014},
journal = {TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation},
volume = {8},
number = {4},
pages = {571--578},
publisher = {Gdynia Maritime University, Faculty of Navigation},
issn = {2083-6473},
doi = {10.12716/1001.08.04.12},
abstract = {The main aim of the paper is to present graph theory parameters and algorithms as tool to analyze and to optimise transportation systems. To realize these goals the 0-1 knapsack problem solution by SPEA algorithm, methods and procedures for finding the minimal spanning tree in graphs and digraphs, domination parameters problems accurate to analyse the transportation systems are introduced and described. Possibility of application of graph theory algorithms and parameters to analyze exemplary transportation system are shown.},
keywords = {Graph Theory,Multicriteria Optimisation,Optimization,Pareto Optimal,SPEA Algorithm,Transportation System,Transportation System Design,Transportation Systems Optimization}
}
@article{hackl2019,
title = {Estimation of Traffic Flow Changes Using Networks in Networks Approaches},
author = {Hackl, J{\"u}rgen and Adey, Bryan T.},
year = {2019},
journal = {Applied Network Science},
volume = {4},
number = {1},
doi = {10.1007/s41109-019-0139-y}
}
@article{handy1997,
title = {Measuring Accessibility: {{An}} Exploration of Issues and Alternatives},
author = {Handy, S L and Niemeier, D A},
year = {1997},
journal = {Environment and Planning A: Economy and Space},
volume = {29},
number = {7},
eprint = {https://doi.org/10.1068/a291175},
pages = {1175--1194},
doi = {10.1068/a291175},
abstract = {Accessibility is an important characteristic of metropolitan areas and is often reflected in transportation and land-use planning goals. But the concept of accessibility has rarely been translated into performance measures by which policies are evaluated, despite a substantial literature on the concept. This paper is an attempt to bridge the gap between the academic literature and the practical application of such measures and provide a framework for the development of accessibility measures. Issues that planners must address in developing an accessibility measure are outlined, and two case studies suggestive of the range of possible approaches are presented.}
}
@inproceedings{ibrahim2011,
title = {An Efficient Heuristic for Estimating Transportation Network Vulnerability},
booktitle = {2011 {{IEEE}} Symposium on Computers and Communications ({{ISCC}})},
author = {Ibrahim, Saleh and Ammar, Reda and Rajasekaran, Sanguthevar and Lownes, Nicholas and Wang, Qixing and Sharma, Dolly},
year = {2011},
pages = {1092--1098},
doi = {10.1109/ISCC.2011.5983988}
}
@article{ip2011,
title = {Resilience and Friability of Transportation Networks: {{Evaluation}}, Analysis and Optimization},
author = {Ip, W. H. and Wang, Dingwei},
year = {2011},
journal = {IEEE Systems Journal},
volume = {5},
number = {2},
pages = {189--198},
doi = {10.1109/JSYST.2010.2096670}
}
@article{jaller2015,
title = {An Investigation of the Effects of Critical Infrastructure on Urban Mobility in the City of {{Medell{\'i}n}}},
author = {Jaller, Miguel and Calder{\'o}n, Carlos A. Gonz{\'a}lez and Yushimito, Wilfredo F. and D{\'i}az, Iv{\'a}n D. S{\'a}nchez},
year = {2015},
journal = {International Journal of Critical Infrastructures},
volume = {11},
number = {3},
pages = {213},
doi = {10.1504/ijcis.2015.072158}
}
@article{levinson2010,
title = {Traffic Flow and Road User Impacts of the Collapse of the {{I-35W Bridge}} over the {{Mississippi River}}},
author = {Zhu, Shanjiang and Levinson, David and Liu, Henry and Harder, Kathleen and Dancyzk, Adam},
year = {2010},
publisher = {Minnesota Department of Transportation, Research Services Section}
}
@misc{marta2018,
title = {2018 Sustainability Report},
author = {{MARTA}},
year = {2018}
}
@misc{marta2017,
title = {Popular Annual Financial Report},
author = {{MARTA}},
year = {2017},
file = {/Users/gregmacfarlane/Zotero/storage/RACMUISS/MARTA - 2017 - Popular annual financial report.pdf}
}
@article{omer2013,
title = {Assessing Resilience in a Regional Road-Based Transportation Network},
author = {Omer, Mayada and Mostashari, Ali and Nilchiani, Roshanak},
year = {2013},
journal = {International Journal of Industrial and Systems Engineering},
volume = {13},
number = {4},
pages = {389--408},
doi = {10.1504/ijise.2013.052605}
}
@article{osei2014,
title = {Complex Network Method of Evaluating Resilience in Surface Transportation Networks},
author = {{Osei-Asamoah}, Abigail and Lownes, Nicholas E.},
year = {2014},
journal = {Transportation Research Record},
volume = {2467},
number = {1},
eprint = {https://doi.org/10.3141/2467-13},
pages = {120--128},
doi = {10.3141/2467-13},
abstract = {A complex network analysis methodology was adopted to evaluate structural resilience in surface transportation networks with the use of examples of the U.S. highway and Interstate networks in Connecticut and the Indiana interurban railroad network. Resilience in these networks was evaluated alongside that of a biological network, which through millions of years of evolution had developed an adaptive behavior in which cost, efficiency, and resilience were optimized in the feeding network that was constructed. Disruptions in the networks were simulated by using link-based targeted and random strategies. With simulation results, network performance under disruption was assessed by using two metrics: global efficiency and the relative size of the giant component for each disruption strategy. The biological network exhibits superior resistance to disruption regardless of strategy, a quality attributed to its redundant and cyclic weblike network structure and its innate ability to adapt to disruptions by developing network structures that have been honed through millions of years of evolution. In addition, linear correlations between network structural metrics such as the average degree, density, and average clustering coefficient were explored and analyzed.}
}
@article{peeta2010,
title = {Pre-Disaster Investment Decisions for Strengthening a Highway Network},
author = {Peeta, Srinivas and Sibel Salman, F. and Gunnec, Dilek and Viswanath, Kannan},
year = {2010},
journal = {Computers \& Operations Research},
volume = {37},
number = {10},
pages = {1708--1719},
issn = {0305-0548},
doi = {10.1016/j.cor.2009.12.006},
abstract = {We address a pre-disaster planning problem that seeks to strengthen a highway network whose links are subject to random failures due to a disaster. Each link may be either operational or non-functional after the disaster. The link failure probabilities are assumed to be known a priori, and investment decreases the likelihood of failure. The planning problem seeks connectivity for first responders between various origin--destination (O--D) pairs and hence focuses on uncapacitated road conditions. The decision-maker's goal is to select the links to invest in under a limited budget with the objective of maximizing the post-disaster connectivity and minimizing traversal costs between the origin and destination nodes. The problem is modeled as a two-stage stochastic program in which the investment decisions in the first stage alter the survival probabilities of the corresponding links. We restructure the objective function into a monotonic non-increasing multilinear function and show that using the first order terms of this function leads to a knapsack problem whose solution is a local optimum to the original problem. Numerical experiments on real-world data related to strengthening Istanbul's urban highway system against earthquake risk illustrate the tractability of the method and provide practical insights for decision-makers.},
keywords = {Decision-dependent probability distribution,Earthquake mitigation,Networks,Random link failures,Retrofitting highways,Two-stage stochastic program}
}
@inproceedings{rogers2012,
title = {Resistance and Resilience--Paradigms for Critical Local Infrastructure},
booktitle = {Proceedings of the Institution of Civil Engineers-Municipal Engineer},
author = {Rogers, Christopher DF and Bouch, Christopher J and Williams, Stephen and Barber, Austin RG and Baker, Christopher J and Bryson, John R and Chapman, David N and Chapman, Lee and Coaffee, Jon and Jefferson, Ian and others},
year = {2012},
volume = {165},
pages = {73--83},
organization = {Thomas Telford Ltd}
}
@article{roten2011,
title = {{{3D}} Simulations of {{M}} 7 Earthquakes on the Wasatch Fault, Utah, Part {{I}}: {{Long-period}} (0-1 Hz) Ground Motion},
author = {Roten, D. and Olsen, K. B. and Pechmann, J. C. and {Cruz-Atienza}, V. M. and Magistrale, H.},
year = {2011},
journal = {Bulletin of the Seismological Society of America},
volume = {101},
number = {5},
pages = {2045--2063},
doi = {10.1785/0120110031}
}
@misc{schaper2017,
title = {10 Years after Bridge Collapse, America Is Still Crumbling},
author = {Schaper, D.},
year = {2017}
}
@misc{seattle2017,
title = {Several Dead after {{Amtrak}} Train Traveling at 80 Mph Derails from Bridge onto {{I-5}}},
author = {Times, The Seattle},
year = {2017}
}
@article{serulle2011,
title = {Resiliency of Transportation Network of Santo Domingo, Dominican Republic: {{Case}} Study},
author = {Serulle, Nayel Urena and Heaslip, Kevin and Brady, Brandon and Louisell, William C. and Collura, John},
year = {2011},
journal = {Transportation Research Record},
volume = {2234},
number = {1},
eprint = {https://doi.org/10.3141/2234-03},
pages = {22--30},
doi = {10.3141/2234-03},
abstract = {Every day dependence on transportation grows as local, regional, national, and international independence increases. Resilient transportation systems are needed to secure the highest possible level of service during disruptive events, including natural disasters and those caused by humans. To prepare for these events, decision makers need guidance to determine what investments are likely to improve the resiliency of their networks, which are often hampered by limited resources. To date, such guidance has been primarily qualitative. This paper presents a methodology to quantify resiliency, under preevent conditions, by use of a fuzzy inference approach. This methodology expands on previous work by the authors and others, by refining the definitions of key variables, adjusting model interactions, and increasing transparency between metrics. The paper includes a case study in which the methodology is applied to a disruptive event in Santo Domingo, Dominican Republic. The case study illustrates the methodology's ability to (a) evaluate the extent to which the Dominican Republic's transportation network is prepared for a disruptive event, (b) help select investments that have the potential to increase the resiliency of the network, and (c) provide outputs that will support a variety of current economic analysis strategies, allow comparison of different investment scenarios, and facilitate decision making. The paper concludes with a sensitivity analysis that shows the effects of alternative investments on the network.}
}
@article{taylor2008,
title = {Critical Transport Infrastructure in Urban Areas: {{Impacts}} of Traffic Incidents Assessed Using Accessibility-Based Network Vulnerability Analysis},
author = {Taylor, Michael A. P.},
year = {2008},
journal = {Growth and Change},
volume = {39},
number = {4},
pages = {593--616},
doi = {10.1111/j.1468-2257.2008.00448.x}
}
@misc{uofu2014,
title = {Utah's Earthquake Threat},
author = {of Utah, The University},
year = {2014}
}
@article{vodak2019,
title = {A Deterministic Approach for Rapid Identification of the Critical Links in Networks},
author = {Vod{\'a}k, Rostislav and B{\'i}l, Michal and Svoboda, Tom{\'a}{\v s} and K{\v r}iv{\'a}nkov{\'a}, Zuzana and Kube{\v c}ek, Jan and Rebok, Tom{\'a}{\v s} and Hlin{\v e}n{\'y}, Petr},
year = {2019},
journal = {Plos One},
volume = {14},
number = {7},
doi = {10.1371/journal.pone.0219658}
}
@article{winkler2016,
title = {Evaluating Transport User Benefits: {{Adjustment}} of Logsum Difference for Constrained Travel Demand Models},
author = {Winkler, Christian},
year = {2016},
journal = {Transportation Research Record},
volume = {2564},
number = {1},
eprint = {https://doi.org/10.3141/2564-13},
pages = {118--126},
doi = {10.3141/2564-13},
abstract = {Transport user benefits are of great importance in cost--benefit analysis when transport projects are appraised. Generally, these benefits have the greatest effect on the results of cost--benefit analyses. It is common to adopt the consumer surplus for calculating transport user benefits. The consumer surplus measure is based on the underlying demand model and follows from the integration of the demand curve. If the popular logit model is used for forecasting travel demand, a consumer surplus measure takes a closed form that is easy to calculate. Furthermore, in cost--benefit analyses the change in consumer surplus between an initial and final state is needed; the change can be easily derived by the difference of the logsums of the two states. This logsum approach is proven and correct for travel demand models based on the logit model without multiple constraints. However, for travel demand models dealing with two or more sets of constraints, the logsum approach fails. In this paper, a mathematical approach is described for a transport user benefits measure that corresponds to the consumer surplus and is universal for all travel demand models with constraints. The measure for a doubly constrained trip distribution is derived. The applicability of the derived approach is shown by a simple example.}
}
@article{xie2011,
title = {Evaluating the Effects of the {{I-35W}} Bridge Collapse on Road-Users in the Twin Cities Metropolitan Region},
author = {Xie, Feng and {David Levinson}},
year = {2011},
journal = {Transportation Planning and Technology},
volume = {34},
number = {7},
eprint = {https://doi.org/10.1080/03081060.2011.602850},
pages = {691--703},
publisher = {Routledge},
doi = {10.1080/03081060.2011.602850}
}
@article{xiangdong2015,
title = {Modeling Transportation Network Redundancy},
author = {Xu, Xiangdong and Chen, Anthony and Jansuwan, Sarawut and Heaslip, Kevin and Yang, Chao},
year = {2015},
journal = {Transportation Research Procedia},
volume = {9},
pages = {283--302},
issn = {2352-1465},
doi = {10.1016/j.trpro.2015.07.016},
abstract = {Redundancy is vital for transportation networks to provide utility to users during disastrous events. In this paper, we develop two network-based measures for systematically characterizing the redundancy of transportation networks: travel alternative diversity and network spare capacity. Specifically, the travel alternative diversity dimension is to evaluate the existence of multiple modes and effective routes available for travelers or the number of effective connections between a specific origin-destination pair. The network spare capacity dimension is to quantify the network-wide residual capacity with an explicit consideration of travelers' mode and route choice behaviors as well as congestion effect. They can address two fundamental questions in the pre-disaster transportation system evaluation and planning, i.e., ``how many effective redundant alternatives are there for travelers in the event of a disruption?'' and ``how much redundant capacity does the network have?'' To implement the two measures in practice, computational methods are provided to evaluate the network redundancy. Numerical examples are also presented to demonstrate the features of the two redundancy measures as well as the applicability of the computational methods. The analysis results reveal that the two measures have different characterizations on network redundancy from different perspectives, and they can complement each other by providing meaningful information to both travelers and planners.},
keywords = {network spare capacity,redundancy,travel alternative diversity}
}
@article{zhang2016,
title = {Resilience-Based Risk Mitigation for Road Networks},
author = {Zhang, Weili and Wang, Naiyu},
year = {2016},
journal = {Structural Safety},
volume = {62},
pages = {57--65},
issn = {0167-4730},
doi = {10.1016/j.strusafe.2016.06.003},
abstract = {Transportation infrastructure has been identified by the US Department of Homeland Security as one of sixteen critical infrastructure systems essential to the well-being of modern societies. In this study, we propose a resilience-based framework for mitigating risk to surface road transportation networks. We utilize recent developments in modern network theory to introduce a novel metric based on system reliability and network connectivity to measure resilience-based performance of a road transportation network. The formulation of this resilience-based performance metric (referred in the paper as WIPW), systematically integrates the network topology, redundancy level, traffic patterns, structural reliability of network components (i.e. roads and bridge) and functionality of the network during community's post-disaster recovery, and permits risk mitigation alternatives for improving transportation network resilience to be compared on a common basis. Using the WIPW as a network performance metric, we propose a project ranking mechanism for identifying and prioritizing transportation network retrofit projects that are critical for effective pre-disaster risk mitigation and resilience planning. We further present a decision methodology to select optimal solutions among possible alternatives of new construction, which offer opportunities to improve the resilience of the network by altering its existing topology. Finally, we conclude with an illustration that uses the WIPW as the performance metric to support risk-based mitigation decisions using a hypothetical bridge network susceptible to seismic hazards.},
keywords = {Bridges,Civil infrastructure systems,Decision optimization,Resilience,Risk mitigation,System reliability,Transportation networks}
}
@article{zhang2015,
title = {Assessing the Role of Network Topology in Transportation Network Resilience},
author = {Zhang, X. and {Miller-Hooks}, E. and Denny, K.},
year = {2015},
journal = {Journal of Transport Geography},
volume = {46},
pages = {35--45},
issn = {0966-6923},
doi = {10.1016/j.jtrangeo.2015.05.006},
abstract = {The abstract representation of a transportation system as a network of nodes and interconnecting links, whether that system involves roadways, railways, sea links, airspace, or intermodal combinations, defines a network topology. Among the most common in the context of transportation systems are the grid, ring, hub-and-spoke, complete, scale-free and small-world networks. This paper investigates the role of network topology, and the topology's characteristics, in a transportation system's ability to cope with disaster. Specifically, the paper hypothesizes that the topological attributes of a transportation system significantly affect its resilience to disaster events. Resilience accounts for not only the innate ability of the system to absorb externally induced changes, but also cost-effective and efficient, adaptive actions that can be taken to preserve or restore performance post-event. Comprehensive and systematically designed numerical experiments were conducted on 17 network structures with some relation to transportation system layout. Resilience of these network structures in terms of throughput, connectivity or compactness was quantified. Resilience is considered with and without the benefits of preparedness and recovery actions. The impact of component-level damage on system resilience is also investigated. A comprehensive, systematic analysis of results from these experiments provides a basis for the characterization of highly resilient network topologies and conversely identification of network attributes that might lead to poorly performing systems.},
keywords = {Graph theory,Infrastructure systems,Network performance,Reliability,Resilience,Vulnerability}
}
@article{zhu2010,
title = {The Traffic and Behavioral Effects of the {{I-35W Mississippi River}} Bridge Collapse},
author = {Zhu, Shanjiang and Levinson, David and Liu, Henry X. and Harder, Kathleen},
year = {2010},
journal = {Transportation Research Part A: Policy and Practice},
volume = {44},
number = {10},
pages = {771--784},
issn = {0965-8564},
doi = {10.1016/j.tra.2010.07.001},
abstract = {On August 1, 2007, the collapse of the I-35W bridge over the Mississippi River in Minneapolis abruptly interrupted the usual route of about 140,000 daily vehicle trips, which substantially disturbed regular traffic flow patterns on the network. It took several weeks for the network to re-equilibrate, during which period travelers continued to learn and adjust their travel decisions. A good understanding of this process is crucial for traffic management and the design of mitigation schemes. Data from loop-detectors, bus ridership statistics, and a survey are analyzed and compared, revealing the evolving traffic reactions to the bridge collapse and how individual choices could help to explain such dynamics. Findings on short-term traffic dynamics and behavioral reactions to this major network disruption have important implications for traffic management in response to future scenarios.},
keywords = {I-35W bridge collapse,Travel behavior,Travel survey}
}
@misc{udot2021,
title = {Planning},
author = {{Utah Department of Transportation}},
year = {2021},
mendeley-groups = {Resiliency}
}
@misc{tfr2021,
title = {Destination Choice Models},
author = {{Travel Forecasting Resource}},
year = {2021},
mendeley-groups = {Resiliency}
}
@article{masiero2012,
title = {Estimation of Indirect Cost and Evaluation of Protective Measures for Infrastructure Vulnerability: {{A}} Case Study on the Transalpine Transport Corridor},
author = {Masiero, Lorenzo and Maggi, Rico},
year = {2012},
journal = {Transport Policy},
volume = {20},
pages = {13--21},
publisher = {Elsevier}
}
@article{nassir2016,
title = {A Utility-Based Travel Impedance Measure for Public Transit Network Accessibility},
author = {Nassir, Neema and Hickman, Mark and Malekzadeh, Ali and Irannezhad, Elnaz},
year = {2016},
journal = {Transportation Research Part A: Policy and Practice},
volume = {88},
pages = {26--39},
publisher = {Elsevier}
}
@article{he2012modeling,
title = {Modeling the Day-to-Day Traffic Evolution Process after an Unexpected Network Disruption},
author = {He, Xiaozheng and Liu, Henry X},
year = {2012},
journal = {Transportation Research Part B: Methodological},
volume = {46},
number = {1},
pages = {50--71},
publisher = {Elsevier}
}
@book{ben-akiva1985,
title = {Discrete {{Choice Analysis}}: {{Theory}} and {{Applications}} to {{Travel Demand}}},
shorttitle = {Discrete {{Choice Analysis}}},
author = {{Ben-Akiva}, Moshe and Lerman, Steven R.},
year = {1985},
eprint = {1391567},
eprinttype = {jstor},
publisher = {MIT Press},
urldate = {2023-01-26},
abstract = {This book, which is intended as a graduate level text and a general professional reference, presents the methods of discrete choice analysis and their applications in the modeling of transportation systems. The first seven chapters provide a basic introduction to discrete choice analysis that covers the material needed to apply basic binary and multiple choice models. The chapters are as follows: introduction; review of the statistics of model estimation; theories of individual choice behavior; binary choice models; multinomial choice; aggregate forecasting techniques; and tests and practical issues in developing discrete choice models. The rest of the chapters cover more advanced material and culminate in the development of a complete travel demand model system presented in chapter 11. The advanced chapters are as follows: theory of sampling; aggregation and sampling of alternatives; models of multidimensional choice and the nested logit model; and systems of models. The last chapter (12) presents an overview of current research frontiers.}
}
@article{cao2006,
title = {The {{Influences}} of the {{Built Environment}} and {{Residential Self-Selection}} on {{Pedestrian Behavior}}: {{Evidence}} from {{Austin}}, {{TX}}},
shorttitle = {The {{Influences}} of the {{Built Environment}} and {{Residential Self-Selection}} on {{Pedestrian Behavior}}},
author = {Cao, Xinyu and Handy, Susan L. and Mokhtarian, Patricia L.},
year = {2006},
month = jan,
journal = {Transportation},
volume = {33},
number = {1},
pages = {1--20},
issn = {1572-9435},
doi = {10.1007/s11116-005-7027-2},
urldate = {2023-01-31},
abstract = {Pedestrian travel offers a wide range of benefits to both individuals and society. Planners and public health officials alike have been promoting policies that improve the quality of the built environment for pedestrians: mixed land uses, interconnected street networks, sidewalks and other facilities. Whether such policies will prove effective remains open to debate. Two issues in particular need further attention. First, the impact of the built environment on pedestrian behavior may depend on the purpose of the trip, whether for utilitarian or recreational purposes. Second, the connection between the built environment and pedestrian behavior may be more a matter of residential location choice than of travel choice. This study aims to provide new evidence on both questions. Using 1368 respondents to a 1995 survey conducted in six neighborhoods in Austin, TX, two separate negative binomial models were estimated for the frequencies of strolling trips and pedestrian shopping trips within neighborhoods. We found that although residential self-selection impacts both types of trips, it is the most important factor explaining walking to a destination (i.e. for shopping). After accounting for self-selection, neighborhood characteristics (especially perceptions of these characteristics) impact strolling frequency, while characteristics of local commercial areas are important in facilitating shopping trips.},
langid = {english},
keywords = {attitude,derived demand,land use,negative binomial regression,pedestrian,travel behavior,walking},
file = {/Users/gregmacfarlane/Zotero/storage/F2CQXFBM/Cao et al. - 2006 - The Influences of the Built Environment and Reside.pdf}
}
@book{knitr2015,
title = {Dynamic Documents with {{R}} and Knitr},
author = {Xie, Yihui},
year = {2015},
edition = {2},
publisher = {{Chapman and Hall/CRC}},
address = {Boca Raton, Florida}
}
@article{helton2003,
title = {Latin Hypercube Sampling and the Propagation of Uncertainty in Analyses of Complex Systems},
author = {Helton, J. C. and Davis, F. J.},
year = {2003},
month = jul,
journal = {Reliability Engineering \& System Safety},
volume = {81},
number = {1},
pages = {23--69},
issn = {0951-8320},
doi = {10.1016/S0951-8320(03)00058-9},
urldate = {2023-03-01},
abstract = {The following techniques for uncertainty and sensitivity analysis are briefly summarized: Monte Carlo analysis, differential analysis, response surface methodology, Fourier amplitude sensitivity test, Sobol' variance decomposition, and fast probability integration. Desirable features of Monte Carlo analysis in conjunction with Latin hypercube sampling are described in discussions of the following topics: (i) properties of random, stratified and Latin hypercube sampling, (ii) comparisons of random and Latin hypercube sampling, (iii) operations involving Latin hypercube sampling (i.e. correlation control, reweighting of samples to incorporate changed distributions, replicated sampling to test reproducibility of results), (iv) uncertainty analysis (i.e. cumulative distribution functions, complementary cumulative distribution functions, box plots), (v) sensitivity analysis (i.e. scatterplots, regression analysis, correlation analysis, rank transformations, searches for nonrandom patterns), and (vi) analyses involving stochastic (i.e. aleatory) and subjective (i.e. epistemic) uncertainty.},
langid = {english},
keywords = {Aleatory uncertainty,Epistemic uncertainty,Latin hypercube sampling,Monte Carlo analysis,Random sampling,Sensitivity analysis,Uncertainty analysis},
file = {/Users/gregmacfarlane/Zotero/storage/6KQBBZTQ/Helton and Davis - 2003 - Latin hypercube sampling and the propagation of un.pdf;/Users/gregmacfarlane/Zotero/storage/52XVCYZI/S0951832003000589.html;/Users/gregmacfarlane/Zotero/storage/H7M4Q6DY/S0951832003000589.html}
}
@inproceedings{macfarlane2023,
title = {How {{Far Are We From Transportation Equity}}? {{Measuring}} the {{Effect}} of {{Wheelchair Use}} on {{Daily Activity Patterns}}},
booktitle = {Proceedings of the 12th {{International Scientific Conference}} on {{Mobility}} and {{Transport}}},
author = {Macfarlane, Gregory S and Lant, Nate},
editor = {Antoniou, Constantinos and Busch, Fritz and Rau, Andreas and Hariharan, Mahesh},
year = {2023},
series = {Lecture {{Notes}} in {{Mobility}}},
pages = {141--155},
publisher = {Springer Nature Singapore},
address = {Singapore},
doi = {10.1007/978-981-19-8361-0_10},
urldate = {2023-04-06},
abstract = {The mobility needs of individuals with travel-limiting disabilities has been a transportation policy priority in the United States for more than thirty years, but efforts to model the behavioral implications of disability on travel have been limited. In this research, we present a daily activity pattern choice model for multiple person type segments including an individual's wheelchair use as an explanatory variable. The model results show a strong negative impact of wheelchair use on out-of-home travel, exceeding the impact of other variables commonly considered in such models. We then apply the estimated model within an activity-based model for the Wasatch Front region in Utah; the results suggest a shift in tour making of sufficient scale---among both wheelchair users and those in their households---to warrant further scrutiny and analysis.},
copyright = {All rights reserved},
isbn = {978-981-19836-1-0},
keywords = {Transportation equity,Travel behavior},
file = {/Users/gregmacfarlane/Zotero/storage/KJ7YGKVC/Macfarlane and Lant - 2023 - How Far Are We From Transportation Equity Measuri.pdf;/Users/gregmacfarlane/Zotero/storage/AZHSPX8V/978-981-19-8361-0_10.html}
}
@article{rodier2002uncertain,
title = {Uncertain Socioeconomic Projections Used in Travel Demand and Emissions Models: Could Plausible Errors Result in Air Quality Nonconformity?},
author = {Rodier, Caroline J and Johnston, Robert A},
year = {2002},
journal = {Transportation Research Part A: Policy and Practice},
volume = {36},
number = {7},
pages = {613--631},
publisher = {Elsevier}
}
@article{helton2003a,
title = {Latin Hypercube Sampling and the Propagation of Uncertainty in Analyses of Complex Systems},
author = {Helton, J. C. and Davis, F. J.},
year = {2003},
month = jul,
journal = {Reliability Engineering \& System Safety},
volume = {81},
number = {1},
pages = {23--69},
issn = {0951-8320},
doi = {10.1016/S0951-8320(03)00058-9},
urldate = {2023-07-28},
abstract = {The following techniques for uncertainty and sensitivity analysis are briefly summarized: Monte Carlo analysis, differential analysis, response surface methodology, Fourier amplitude sensitivity test, Sobol' variance decomposition, and fast probability integration. Desirable features of Monte Carlo analysis in conjunction with Latin hypercube sampling are described in discussions of the following topics: (i) properties of random, stratified and Latin hypercube sampling, (ii) comparisons of random and Latin hypercube sampling, (iii) operations involving Latin hypercube sampling (i.e. correlation control, reweighting of samples to incorporate changed distributions, replicated sampling to test reproducibility of results), (iv) uncertainty analysis (i.e. cumulative distribution functions, complementary cumulative distribution functions, box plots), (v) sensitivity analysis (i.e. scatterplots, regression analysis, correlation analysis, rank transformations, searches for nonrandom patterns), and (vi) analyses involving stochastic (i.e. aleatory) and subjective (i.e. epistemic) uncertainty.},
langid = {english},
keywords = {Aleatory uncertainty,Epistemic uncertainty,Latin hypercube sampling,Monte Carlo analysis,Random sampling,Sensitivity analysis,Uncertainty analysis},
file = {/Users/gregmacfarlane/Zotero/storage/TQ5A5SG3/Helton and Davis - 2003 - Latin hypercube sampling and the propagation of un.pdf;/Users/gregmacfarlane/Zotero/storage/YV7UCWSJ/S0951832003000589.html}
}
@article{salon2021,
title = {The Potential Stickiness of Pandemic-Induced Behavior Changes in the {{United States}}},
author = {Salon, Deborah and Conway, Matthew Wigginton and {Capasso da Silva}, Denise and Chauhan, Rishabh Singh and Derrible, Sybil and Mohammadian, Abolfazl (Kouros) and Khoeini, Sara and Parker, Nathan and Mirtich, Laura and Shamshiripour, Ali and Rahimi, Ehsan and Pendyala, Ram M.},
year = {2021},
month = jul,
journal = {Proceedings of the National Academy of Sciences},
volume = {118},
number = {27},
pages = {e2106499118},
publisher = {Proceedings of the National Academy of Sciences},
doi = {10.1073/pnas.2106499118},
urldate = {2023-07-28},
abstract = {Human behavior is notoriously difficult to change, but a disruption of the magnitude of the COVID-19 pandemic has the potential to bring about long-term behavioral changes. During the pandemic, people have been forced to experience new ways of interacting, working, learning, shopping, traveling, and eating meals. A critical question going forward is how these experiences have actually changed preferences and habits in ways that might persist after the pandemic ends. Many observers have suggested theories about what the future will bring, but concrete evidence has been lacking. We present evidence on how much US adults expect their own postpandemic choices to differ from their prepandemic lifestyles in the areas of telecommuting, restaurant patronage, air travel, online shopping, transit use, car commuting, uptake of walking and biking, and home location. The analysis is based on a nationally representative survey dataset collected between July and October 2020. Key findings include that the ``new normal'' will feature a doubling of telecommuting, reduced air travel, and improved quality of life for some.},
file = {/Users/gregmacfarlane/Zotero/storage/B5TSBJAD/Salon et al. - 2021 - The potential stickiness of pandemic-induced behav.pdf}
}
@article{zhan2022,
title = {Post-Earthquake Functional Recovery: {{A}} Critical Review},
shorttitle = {Post-Earthquake Functional Recovery},
author = {Zhan, Shen and {Chang-Richards}, Alice and Elwood, Kenneth and Boston, Megan},
year = {2022},
month = apr,
publisher = {New Zealand Society for Earthquake Engineering},
urldate = {2023-07-28},
abstract = {Functional recovery not only transforms the retrofit of damaged buildings from an earthquake event but also contributes to community resilience. This paper aims to provide a state-of-the-art literature review of functional recovery research, with a focus on identifying the key factors affecting the restoration of post-earthquake functionality and implications of functional recovery for multi-storey buildings in the New Zealand context. It starts by reviewing research related to building resilience and recovery, followed by existing methodologies for quantifying functional recovery. It shows that the factors that affect the process and outcome of functional recovery fall into four categories, namely, ~1) seismic resilience of the building itself, 2) resourcing for building repairs, 3) social and organisational preparedness and 4) governance. It is hoped that the introduction of functional recovery notion and methodology will not only influence the decision making of restoring those damaged buildings with residual capacity after an earthquake, but also will inform the changes in engineering design practice with whole-life cycle functionality taken into consideration.},
langid = {english},
annotation = {Accepted: 2023-02-21T01:18:17Z}
}
@article{scott2006,
title = {Network {{Robustness Index}}: {{A}} New Method for Identifying Critical Links and Evaluating the Performance of Transportation Networks},
shorttitle = {Network {{Robustness Index}}},
author = {Scott, Darren M. and Novak, David C. and {Aultman-Hall}, Lisa and Guo, Feng},
year = {2006},
month = may,
journal = {Journal of Transport Geography},
volume = {14},
number = {3},
pages = {215--227},
issn = {0966-6923},
doi = {10.1016/j.jtrangeo.2005.10.003},
urldate = {2024-04-02},
abstract = {Highway planning efforts, especially those involving capacity expansions, have traditionally relied on the volume/capacity (V/C) ratio to identify ``highly congested'' or critical links, resulting in localized solutions that do not consider system-wide impacts. This paper presents a new, comprehensive, system-wide approach to identifying critical links and evaluating network performance. The approach considers network flows, link capacity and network topology. Moreover, it relies on readily available sources of data. Using three hypothetical networks, we demonstrate that the approach, known as the Network Robustness Index, yields different highway planning solutions than the traditional V/C ratio. Moreover, these solutions yield far greater system-wide benefits, as measured by travel-time savings, than solutions identified by the V/C ratio.},
keywords = {Critical infrastructure,Network performance,Network Robustness Index,Transportation infrastructure,Transportation planning,Volume/capacity ratio},
file = {/Users/gregmacfarlane/Zotero/storage/6IXHI825/S0966692305000694.html}
}
@article{jenelius2012,
title = {Road Network Vulnerability Analysis of Area-Covering Disruptions: {{A}} Grid-Based Approach with Case Study},
shorttitle = {Road Network Vulnerability Analysis of Area-Covering Disruptions},
author = {Jenelius, Erik and Mattsson, Lars-G{\"o}ran},
year = {2012},
month = jun,
journal = {Transportation Research Part A: Policy and Practice},
series = {Network Vulnerability in Large-Scale Transport Networks},
volume = {46},
number = {5},
pages = {746--760},
issn = {0965-8564},
doi = {10.1016/j.tra.2012.02.003},
urldate = {2024-04-02},
abstract = {We present an approach to systematically analysing the vulnerability of road networks under disruptions covering extended areas. Since various kinds of events including floods, heavy snowfall, storms and wildfires can cause such spatially spread degradations, the analysis method is an important complement to the existing studies of single link failures. The methodology involves covering the study area with grids of uniformly shaped and sized cells, where each cell represents the extent of an event disrupting any intersecting links. We apply the approach to the Swedish road network using travel demand and network data from the Swedish national transport modelling system Sampers. The study shows that the impacts of area-covering disruptions are largely determined by the level of internal, outbound and inbound travel demand of the affected area itself. This is unlike single link failures, where the link flow and the redundancy in the surrounding network determine the impacts. As a result, the vulnerability to spatially spread events shows a markedly different geographical distribution. These findings, which should be universal for most road networks of similar scale, are important in the planning process of resource allocation for mitigation and recovery.},
keywords = {Area,Disruption,Road network,Robustness,Transport,Vulnerability},
file = {/Users/gregmacfarlane/Zotero/storage/Y6S4N2UI/S0965856412000213.html}
}
@article{balijepalli2014,
title = {Measuring Vulnerability of Road Network Considering the Extent of Serviceability of Critical Road Links in Urban Areas},
author = {Balijepalli, Chandra and Oppong, Olivia},
year = {2014},
month = jul,
journal = {Journal of Transport Geography},
volume = {39},
pages = {145--155},
issn = {0966-6923},
doi = {10.1016/j.jtrangeo.2014.06.025},
urldate = {2024-04-02},
abstract = {Road networks are vulnerable to natural disasters such as floods, earthquakes and forest fires which can adversely affect the travel on the network that remains intact after an event. However, not all road links equally affect the travel conditions in a given network; typically some links are more critical to the network functioning than the others. It is noted that the majority of the existing indices designed to measure vulnerability offer a good measure of network-wide accessibility in sparse regional networks, but they rarely consider the extent of serviceability of critical links in dense urban road networks. This paper describes a number of vulnerability indices from the literature, applies them to the case of urban network of York and discusses the results. It proposes a new vulnerability index considering the serviceability of road links and illustrates its computation. Finally, this paper uses the results of the new vulnerability index and outlines a traffic diversion plan in the event of flooding in York using traffic network modelling techniques combined with Geographic Information Systems (GIS) application.},
keywords = {Degraded network,Emergency response plan,Serviceability,Traffic diversion plan,Traffic network modelling,Vulnerability},
file = {/Users/gregmacfarlane/Zotero/storage/NAJCB8TK/Balijepalli and Oppong - 2014 - Measuring vulnerability of road network considerin.pdf;/Users/gregmacfarlane/Zotero/storage/RNWA7UKF/S0966692314001392.html}
}
@article{taylor2012,
title = {Remoteness and Accessibility in the Vulnerability Analysis of Regional Road Networks},
author = {Taylor, Michael A. P. and {Susilawati}},
year = {2012},
month = jun,
journal = {Transportation Research Part A: Policy and Practice},
series = {Network Vulnerability in Large-Scale Transport Networks},
volume = {46},
number = {5},
pages = {761--771},
issn = {0965-8564},
doi = {10.1016/j.tra.2012.02.008},
urldate = {2024-04-02},
abstract = {This paper considers the development of a method for network vulnerability analysis which considers the socio-economic impacts of network degradation and seeks to determine the most critical locations in the network. The method compares the levels of remoteness (or its inverse, accessibility) of localities within the study region, on the basis of the impacts of degradation of the road network on a recognised accessibility/remoteness index that can be applied to each and every location within the region. It thus extends the earlier work on accessibility-based vulnerability analysis which was limited to assessment of impacts on selected nodes in a network. The new method allows study of impacts on both specified locations (which do not have to be represented as network nodes) and the region as a whole. The accessibility/remoteness index is defined so that an accessibility surface can be calculated for the region, and the volume under this surface provides an overall measure of accessibility. Changes in the volume under different network states thus reflect the overall impacts. The method is applied to a rural region in south east Australia.},
keywords = {Accessibility index,ARIA,Critical infrastructure,Network vulnerability,Regional road network},
file = {/Users/gregmacfarlane/Zotero/storage/QGVIZF7N/S0965856412000262.html}
}
@article{gecchele2019,
title = {Road {{Network Vulnerability Analysis}}: {{Case Study Considering Travel Demand}} and {{Accessibility Changes}}},
shorttitle = {Road {{Network Vulnerability Analysis}}},
author = {Gecchele, Gregorio and Ceccato, Riccardo and Gastaldi, Massimiliano},
year = {2019},
month = jul,
journal = {Journal of Transportation Engineering, Part A: Systems},
volume = {145},
number = {7},
pages = {05019004},
publisher = {American Society of Civil Engineers},
doi = {10.1061/JTEPBS.0000252},
urldate = {2024-04-02},
abstract = {AbstractRoad network vulnerability analysis is helpful in the improvement of vulnerable links with proper maintenance investments and management strategies. This paper addresses issues that have received limited attention in past studies: estimation of ...},
copyright = {{\copyright}2019 American Society of Civil Engineers},
langid = {english},
file = {/Users/gregmacfarlane/Zotero/storage/KL7YRGLW/Gecchele et al. - 2019 - Road Network Vulnerability Analysis Case Study Co.pdf}
}
@inproceedings{miller2015,
title = {Estimating {{Probabilistic Impacts}} of {{Catastrophic Network Damage}} from {{Earthquakes Using Activity-Based Travel Model}}},
booktitle = {94th {{Annual MeetingTransportation Research Board}}},
author = {Miller, Mahalia and Cortes, Samuel and Ory, Dave and Baker, Jack W.},
year = {2015},
number = {15-2366},
address = {Washington, D.C},
urldate = {2024-04-03},
file = {/Users/gregmacfarlane/Zotero/storage/LWKS8T8K/1337593.html}
}
@article{mohammadi2023,
title = {Examining the Persistence of Telecommuting after the {{COVID-19}} Pandemic},
author = {Mohammadi, Motahare (Yalda) and Rahimi, Ehsan and Davatgari, Amir and Javadinasr, Mohammadjavad and Mohammadian, Abolfazl (Kouros) and {Bhagat-Conway}, Matthew Wigginton and Salon, Deborah and Derrible, Sybil and Pendyala, Ram M. and Khoeini, Sara},
year = {2023},
month = jul,
journal = {Transportation Letters},
volume = {15},
number = {6},
pages = {608--621},
publisher = {Taylor \& Francis},
issn = {1942-7867},
doi = {10.1080/19427867.2022.2077582},
urldate = {2024-06-14},
abstract = {This study focuses on the long-term impacts of COVID-19 on telecommuting behavior. We seek to study the future of telecommuting, in the post-pandemic era, by capturing the evolution of observed behavior during the COVID-19 pandemic. To do so, we implemented a comprehensive multi-wave nationwide panel survey (the Future Survey) in the U.S. throughout 2020 and 2021. A panel Generalized Structural Equation Model (GSEM) was used to investigate the effects of two perceptual factors on telecommuting behavior: (1) perceived risk of COVID-19; and (2) perceived telecommuting productivity. The findings of this study reveal significant and positive impacts of productivity and COVID-risk perception on telecommuting behavior. Moreover, the findings indicate a potential shift in preferences toward telecommuting in the post-pandemic era for millennials, employees with long commute times, high-income, and highly educated employees. Overall, a potential increase in telecommuting frequency is expected in the post-pandemic era, with differences across socio-economic groups.},
keywords = {COVID-19,generalized structural equation model,productivity,risk perception,Telecommute,work from home},
file = {/Users/gregmacfarlane/Zotero/storage/UDJ8FGM6/Mohammadi et al. - 2023 - Examining the persistence of telecommuting after t.pdf;/Users/gregmacfarlane/Zotero/storage/PLSG7ZQL/19427867.2022.html}
}
@techreport{donnelly2017,
title = {{{SWIM Version}} 2.5 {{Model Development Report}}},
author = {Donnelly, Rick},
year = {2017},
institution = {Oregon Department of Transportation}
}
@misc{wang2016,
title = {{{RVTPO Regional Model}}},
author = {Wang, Xin},
year = {2016},
month = dec,
urldate = {2024-06-17},
abstract = {Travel model for Roanoke, Virginia},
howpublished = {https://github.com/xinwangvdot/rvtpo}
}
@article{thill2005,
title = {Trip Making, Induced Travel Demand, and Accessibility},
author = {Thill, Jean-Claude and Kim, Marim},
year = {2005},
month = jun,
journal = {Journal of Geographical Systems},
volume = {7},
number = {2},
pages = {229--248},
issn = {1435-5949},
doi = {10.1007/s10109-005-0158-3},
urldate = {2024-06-28},
abstract = {Traditional transportation planning practice rests on the premise that the demand for transportation is derived. On the other hand, economic theory advances that enhancement to the transportation system leads to lower travel cost and hence to ``induced demand.'' Such an argument lends support to the view that the rate at which trips are generated is linked to the ease of making trips to potential destinations. Rather conflicting evidence has so far come out of aggregate trip generation modeling applications. This paper revisits this issue with proper characterization of integral accessibility. Poisson regression models of automobile trip generation by trip purpose are estimated on travel survey data in Minneapolis--St. Paul, MN. Alternative measures of accessibility are tested for statistical significance. Conclusions are drawn on the role of accessibility in trip making and on the comparison of integral accessibility measures.},
langid = {english},
keywords = {Accessibility,Induced demand,Trip generation}
}
@article{volker2020,
title = {Induced {{Vehicle Travel}} in the {{Environmental Review Process}}},
author = {Volker, Jamey M. B. and Lee, Amy E. and Handy, Susan},
year = {2020},
month = jul,
journal = {Transportation Research Record},
volume = {2674},
number = {7},
pages = {468--479},
publisher = {SAGE Publications Inc},
issn = {0361-1981},
doi = {10.1177/0361198120923365},
urldate = {2024-06-28},
abstract = {If we expand roadway capacity, more drivers will come, or so economic theory suggests and a substantial body of empirical research now shows. Despite strong evidence, the ``induced travel'' effect is often ignored, underestimated, or misestimated in the planning process, particularly in the assessment of the environmental impacts of roadway capacity expansions. Underestimating induced travel will generally lead to overestimation of the traffic congestion relief benefits a highway expansion project might generate, along with underestimation of its environmental impacts. A major reason that induced travel tends to be underplayed in environmental analyses is that travel demand models do not typically include all of the feedback loops necessary to accurately predict the induced travel effect. We developed an online tool, based on elasticities reported in the literature, to facilitate the estimation of the induced vehicle travel impacts of roadway capacity expansion projects in California, with potential future expansion to other geographies. We describe the tool, apply it to five case study highway capacity expansion projects, and then compare the results with the induced travel estimates reported in the environmental impact analyses for those projects. Our results suggest that environmental analyses frequently fail to fully capture the induced vehicle travel effects of highway capacity expansion projects.},
langid = {english},
file = {/Users/gregmacfarlane/Zotero/storage/URZ8QU3M/Volker et al. - 2020 - Induced Vehicle Travel in the Environmental Review.pdf}
}