A method for evaluating accessibility in transportation problems considering social vulnerability

被引:8
作者
Sullivan, James L. [1 ]
Novak, David C. [2 ]
机构
[1] Univ Vermont, Transportat Res Ctr, 25 Colchester Ave, Burlington, VT 05405 USA
[2] Univ Vermont, Grossman Sch Business, 1 55 Colchester Ave,310 Kalkin Hall, Burlington, VT 05405 USA
关键词
Transportation planning; Public sector OR; Food accessibility; Transportation network design problem; (TNDP); Social vulnerability; NETWORK DESIGN; DECISION-SUPPORT; EQUITY; INFRASTRUCTURE; ROBUSTNESS; OBJECTIVES; FRAMEWORK; CAPACITY; LINKS;
D O I
10.1016/j.ejor.2023.04.015
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
In this paper, we introduce a methodological approach for evaluating transportation-based access via the public roadway network referred to as edge accessibility , which is derived from the graph theory measure of closeness. EA evaluates each edge in the roadway network based on its system-wide contribution in facilitating access between all origin-destination (OD) pairs in the roadway network and includes an edge disruption component in the calculation. The measure also includes an importance weighting approach that can be applied to both origins and destinations to addresses concerns related to equity and criticality and can be readily incorporated into existing transportation planning models. The measure is demonstrated via a case study that examines food accessibility by socially vulnerable populations in a rural setting to support the expansion of a fixed-route public transit service. As part of the case study, we use a statewide network of all public roadways in a GIS-based transportation planning platform called TransCAD TM , a customizable off-the-shelf software for transportation network applications. (c) 2023 Elsevier B.V. All rights reserved.
引用
收藏
页码:646 / 659
页数:14
相关论文
共 72 条
[1]   Building disaster preparedness and response capacity in humanitarian supply chains using the Social Vulnerability Index [J].
Alem, Douglas ;
Bonilla-Londono, Hector F. ;
Barbosa-Povoa, Ana Paula ;
Relvas, Susana ;
Ferreira, Deisemara ;
Moreno, Alfredo .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2021, 292 (01) :250-275
[2]   Planning transport for social inclusion: An accessibility-activity participation approach [J].
Allen, Jeff ;
Farber, Steven .
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2020, 78
[3]  
[Anonymous], 2021, American Community Survey 5-Year Data (2015-2019)
[4]  
[Anonymous], 2021, Supplemental Nutrition Assistance Program (SNAP) Students
[5]   An accessibility-maximization approach to road network planning [J].
Antunes, A ;
Seco, A ;
Pinto, N .
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, 2003, 18 (03) :224-240
[6]   A GIS-based decision support system for planning urban transportation policies [J].
Arampatzis, G ;
Kiranoudis, CT ;
Scaloubacas, P ;
Assimacopoulos, D .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2004, 152 (02) :465-475
[7]   Spatial networks [J].
Barthelemy, Marc .
PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS, 2011, 499 (1-3) :1-101
[8]   Creating synthetic baseline populations [J].
Beckman, RJ ;
Baggerly, KA ;
McKay, MD .
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 1996, 30 (06) :415-429
[9]   Prescriptive analytics in public-sector decision-making: A framework and insights from charging infrastructure planning [J].
Brandt, Tobias ;
Wagner, Sebastian ;
Neumann, Dirk .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2021, 291 (01) :379-393
[10]   Network-based accessibility measures for vulnerability analysis of degradable transportation networks [J].
Chen, Anthony ;
Yang, Chao ;
Kongsomsaksakul, Sirisak ;
Lee, Ming .
NETWORKS & SPATIAL ECONOMICS, 2007, 7 (03) :241-256