Incorporating activity space and trip chaining into facility siting for accessibility maximization

Ran Li, Daoqin Tong

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

Location models have been widely used to support locational decisions for various service provision. One common objective of location models has been to ensure maximal accessibility of sited facilities to demand populations. Accessibility evaluation in location models often assumes that trips originate from fixed locations (usually home) and are single purpose. These assumptions contradict the empirical evidence that suggests trips also commonly originate from non-home locations and may involve multiple stops. In this study, a new multi-objective location model is developed that extents the classic p-median problem (PMP) to account for a more realistic assessment of accessibility. Based on the individual accessibility assessment, notions of trip chaining and activity space are incorporated into the model development. In addition to fixed home locations, stops along chained trips are allowed for potential service site visits, and activity space is introduced as an additional dimension to evaluate accessibility of alternative opportunities. The effectiveness of the new model is demonstrated using an application in Tucson, AZ.

Original languageEnglish (US)
Pages (from-to)1-14
Number of pages14
JournalSocio-Economic Planning Sciences
Volume60
DOIs
StatePublished - Dec 1 2017
Externally publishedYes

Fingerprint

Accessibility
Location Model
accessibility
p-median
P-median Problem
service provision
Decision Support
development model
Location model
Evaluate
Alternatives
Evaluation
Model
demand
evaluation
evidence

Keywords

  • Accessibility
  • Activity space
  • GIS
  • Location modeling

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Economics and Econometrics
  • Strategy and Management
  • Statistics, Probability and Uncertainty
  • Management Science and Operations Research

Cite this

Incorporating activity space and trip chaining into facility siting for accessibility maximization. / Li, Ran; Tong, Daoqin.

In: Socio-Economic Planning Sciences, Vol. 60, 01.12.2017, p. 1-14.

Research output: Contribution to journalArticle

@article{086a0359bc2c4ff49f051661e56768d1,
title = "Incorporating activity space and trip chaining into facility siting for accessibility maximization",
abstract = "Location models have been widely used to support locational decisions for various service provision. One common objective of location models has been to ensure maximal accessibility of sited facilities to demand populations. Accessibility evaluation in location models often assumes that trips originate from fixed locations (usually home) and are single purpose. These assumptions contradict the empirical evidence that suggests trips also commonly originate from non-home locations and may involve multiple stops. In this study, a new multi-objective location model is developed that extents the classic p-median problem (PMP) to account for a more realistic assessment of accessibility. Based on the individual accessibility assessment, notions of trip chaining and activity space are incorporated into the model development. In addition to fixed home locations, stops along chained trips are allowed for potential service site visits, and activity space is introduced as an additional dimension to evaluate accessibility of alternative opportunities. The effectiveness of the new model is demonstrated using an application in Tucson, AZ.",
keywords = "Accessibility, Activity space, GIS, Location modeling",
author = "Ran Li and Daoqin Tong",
year = "2017",
month = "12",
day = "1",
doi = "10.1016/j.seps.2017.01.007",
language = "English (US)",
volume = "60",
pages = "1--14",
journal = "Socio-Economic Planning Sciences",
issn = "0038-0121",
publisher = "Elsevier Limited",

}

TY - JOUR

T1 - Incorporating activity space and trip chaining into facility siting for accessibility maximization

AU - Li, Ran

AU - Tong, Daoqin

PY - 2017/12/1

Y1 - 2017/12/1

N2 - Location models have been widely used to support locational decisions for various service provision. One common objective of location models has been to ensure maximal accessibility of sited facilities to demand populations. Accessibility evaluation in location models often assumes that trips originate from fixed locations (usually home) and are single purpose. These assumptions contradict the empirical evidence that suggests trips also commonly originate from non-home locations and may involve multiple stops. In this study, a new multi-objective location model is developed that extents the classic p-median problem (PMP) to account for a more realistic assessment of accessibility. Based on the individual accessibility assessment, notions of trip chaining and activity space are incorporated into the model development. In addition to fixed home locations, stops along chained trips are allowed for potential service site visits, and activity space is introduced as an additional dimension to evaluate accessibility of alternative opportunities. The effectiveness of the new model is demonstrated using an application in Tucson, AZ.

AB - Location models have been widely used to support locational decisions for various service provision. One common objective of location models has been to ensure maximal accessibility of sited facilities to demand populations. Accessibility evaluation in location models often assumes that trips originate from fixed locations (usually home) and are single purpose. These assumptions contradict the empirical evidence that suggests trips also commonly originate from non-home locations and may involve multiple stops. In this study, a new multi-objective location model is developed that extents the classic p-median problem (PMP) to account for a more realistic assessment of accessibility. Based on the individual accessibility assessment, notions of trip chaining and activity space are incorporated into the model development. In addition to fixed home locations, stops along chained trips are allowed for potential service site visits, and activity space is introduced as an additional dimension to evaluate accessibility of alternative opportunities. The effectiveness of the new model is demonstrated using an application in Tucson, AZ.

KW - Accessibility

KW - Activity space

KW - GIS

KW - Location modeling

UR - http://www.scopus.com/inward/record.url?scp=85010951356&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85010951356&partnerID=8YFLogxK

U2 - 10.1016/j.seps.2017.01.007

DO - 10.1016/j.seps.2017.01.007

M3 - Article

AN - SCOPUS:85010951356

VL - 60

SP - 1

EP - 14

JO - Socio-Economic Planning Sciences

JF - Socio-Economic Planning Sciences

SN - 0038-0121

ER -