The fuzzy modelling of personal vehicle usage in Isfahan: quantifying contributions from different Travel Demand Management strategies

Mansoori, H, Haghshenas, H, Esfahani, MA and Groeger, JA ORCID logoORCID: https://orcid.org/0000-0002-3582-1058, 2020. The fuzzy modelling of personal vehicle usage in Isfahan: quantifying contributions from different Travel Demand Management strategies. Case Studies on Transport Policy. ISSN 2213-624X

[thumbnail of 1391038_Groeger.pdf]
Preview
Text
1391038_Groeger.pdf - Post-print

Download (1MB) | Preview

Abstract

Modifying travel behavior is a pressing issue in the face of increasing urbanization and the challenges that poses for existing infrastructure and deteriorating environmental conditions. Such challenges are particularly acute in cities which have a rich history and which have seen substantial population growth. One such is Isfahan, the third largest city in Iran, where the current study was conducted. Successful modification of travel behavior relies on an understanding of that behavior, but there are substantial methodological and theoretical barriers to doing so. This study reports a survey (N=400) of Isfahan residents and visitors, and the modeling of the resulting data using a fuzzy logic approach. Together they illustrate the relative desirability, and potential effectiveness, of different Travel Demand Management strategies that might be employed to address the traffic challenges of Isfahan and other heritage cities worldwide.

Item Type: Journal article
Publication Title: Case Studies on Transport Policy
Creators: Mansoori, H., Haghshenas, H., Esfahani, M.A. and Groeger, J.A.
Publisher: Elsevier
Date: 26 November 2020
ISSN: 2213-624X
Identifiers:
Number
Type
10.1016/j.cstp.2020.11.013
DOI
S2213624X20301486
Publisher Item Identifier
1391038
Other
Divisions: Schools > School of Social Sciences
Record created by: Linda Sullivan
Date Added: 27 Nov 2020 09:33
Last Modified: 26 Nov 2021 03:00
URI: https://irep.ntu.ac.uk/id/eprint/41699

Actions (login required)

Edit View Edit View

Statistics

Views

Views per month over past year

Downloads

Downloads per month over past year