generated from byu-transpolab/template_bookdown
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy path_quarto.yaml
65 lines (61 loc) · 2.34 KB
/
_quarto.yaml
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
project:
type: book
# This defines the .qmd files that are in your document
book:
title: "A utility-based approach to modeling systemic resilience of highway networks with an application in Utah"
output-file: "resiliency"
author:
- name: Gregory S. Macfarlane
orcid: 0000-0003-3999-7584
corresponding: true
email: gregmacfarlane@byu.edu
affiliations:
- ref: byu
id: byu
name: Brigham Young University, Civil and Construction Engineering Department
address: 430 EB
city: Provo
state: UT
postal-code: 84602
# to add additional authors, simply add another -name: tag
- name: Max Barnes
email: maxbarnes@kha.com
affiliations:
- ref: kha
id: kha
name: Kimley-Horn
- name: Natalie M. Gray
email: nat.gray2000@gmail.com
affiliations:
- ref: wsp
id: wsp
name: WSP
chapters:
- index.qmd
- 02-literature.qmd
- 03-methods.qmd
- 04-results.qmd
- 05-conclusions.qmd
- 98-acknowledgments.qmd
- 99-references.qmd
date: "1/10/2024"
abstract: |
The resilience of transportation networks is an important consideration in policy, management and planning, but practical techniques to identify systemically critical links are limited. Further, current practical techniques ignore that when transportation networks are damaged or degraded, people potentially change destinations and modes as well as travel routes. In this research, we develop a model to examine network highway resilience based on changes to mode and destination choice logsums, and apply this model to 41 scenarios representing the loss of links on the statewide highway network in Utah. The results of the analysis suggest a fundamentally different prioritization scheme than would be identified solely through a methodology based on increased travel times. Beyond this, the comparable user costs of the logsum method are generally lower than those considering only the value of increased travel times.
# comma separated list
keywords:
- Accessibility,
- Location Choice,
- Resiliency
bibliography: book.bib
csl: asce.csl
format:
html:
theme: cosmo
asce-pdf:
keep-tex: true
natbib: false
top-level-division: section
footer-lastname: Macfarlane
toc: false
execute:
cache: true