Transportation disadvantage impedance indexing: A methodological approach to reduce policy shortcomings

Duvarci, Yavuz, Yigitcanlar, Tan, & Mizokami, Shoshi (2015) Transportation disadvantage impedance indexing: A methodological approach to reduce policy shortcomings. Journal of Transport Geography, 48(1), pp. 61-75.

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Access to transport systems and the connection to such systems provided to essential economic and social activities are critical to determine households' transportation disadvantage levels. In spite of the developments in better identifying transportation disadvantaged groups, the lack of effective policies resulted in the continuum of the issue as a significant problem. This paper undertakes a pilot case investigation as test bed for a new approach developed to reduce transportation policy shortcomings. The approach, ‘disadvantage-impedance index’, aims to ease transportation disadvantages by employing representative parameters to measure the differences between policy alternatives run in a simulation environment. Implemented in the Japanese town of Arao, the index uses trip-making behaviour and resident stated preference data. The results of the index reveal that even a slight improvement in accessibility and travel quality indicators makes a significant difference in easing disadvantages. The index, integrated into a four-step model, proves to be highly robust and useful in terms of quick diagnosis in capturing effective actions, and developing potentially efficient policies.

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3 citations in Scopus
3 citations in Web of Science®
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ID Code: 87214
Item Type: Journal Article
Refereed: Yes
Additional URLs:
Keywords: Transportation disadvantaged;, Social exclusion;, Transportation disadvantage-impedance index;, Policymaking;, Arao, Japan
DOI: 10.1016/j.jtrangeo.2015.08.014
ISSN: 1873-1236
Subjects: Australian and New Zealand Standard Research Classification > BUILT ENVIRONMENT AND DESIGN (120000) > URBAN AND REGIONAL PLANNING (120500) > Transport Planning (120506)
Divisions: Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2015 Elsevier
Copyright Statement: © 2015. This manuscript version is made available under the CC-BY-NC-ND 4.0 license
Deposited On: 03 Sep 2015 03:12
Last Modified: 25 Jun 2017 13:01

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