Case Studies
Feb 26, 2021

Evaluation of Joint Development of Park and Ride and Transit-Oriented Development Near Metro Stations in Chengdu, China

Publication: Journal of Urban Planning and Development
Volume 147, Issue 2

Abstract

The transport system in the traditional integrated planning theory focuses on road transport, takes vehicle travelers as the main service object, and lacks the research on the integrated planning of public transport system and land use system. Evaluating the joint development effect of P&R (Park and Ride) and TOD (Transit-Oriented Development) is one of the bases of integrated planning of transport system and land use system near metro stations; however, it remains difficult to come up with an evaluation indicator system and calculating methods reflecting the characteristics of transport systems and land use systems. Aiming at the joint development issue of P&R and TOD near metro stations in the urban planning field, 24 indicators are selected and three comprehensive evaluation methods are proposed to judge the joint development level of metro stations from two dimensions: P&R characteristics and TOD characteristics, followed by entropy wright method and expert scoring method being combined to obtain the comprehensive weight values, P&R characteristics being subdivided into P&R facility service level, and metro service level. TOD characteristics consisting of density level, diversity level, and refinement level. Through field investigation, API interface, and APP data acquisition, the characteristic datasets of P&R and TOD near metro stations are obtained in one megacity (Chengdu, China), and then three combined models are tested. Furthermore, four category results of joint development are analyzed and sorted: A-class, B-class, C-class, and D-class near metro stations. Development characteristic and environment features of each category stations are summarized to provide theoretical and practical guidance for the joint development of P&R and TOD near metro stations in other similar megacities.

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Acknowledgments

This study was funded by the Science and Technology Planning Project of Sichuan Science and Technology Department (2020YJ0255), China Scholarship Council (201807000044), and Sichuan Innovation and Entrepreneurship Training Program for College Students (2020092).

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Go to Journal of Urban Planning and Development
Journal of Urban Planning and Development
Volume 147Issue 2June 2021

History

Received: May 30, 2020
Accepted: Nov 17, 2020
Published online: Feb 26, 2021
Published in print: Jun 1, 2021
Discussion open until: Jul 26, 2021

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Ph.D. Candidate, National United Engineering Laboratory of Integrated and Intelligent Transportation, Key Laboratory of Big Data Application Technologies for Comprehensive Transport, School of Transportation and Logistics, Southwest Jiaotong Univ., 999 Xi’an Rd., Chengdu, China. Email: [email protected]
National United Engineering Laboratory of Integrated and Intelligent Transportation, Key Laboratory of Big Data Application Technologies for Comprehensive Transport, Mao Yisheng Honors College, Southwest Jiaotong Univ., 999 Xi’an Rd., Chengdu, China. Email: [email protected]
Yiyuan Zhang [email protected]
Ph.D. Candidate, National United Engineering Laboratory of Integrated and Intelligent Transportation, Key Laboratory of Big Data Application Technologies for Comprehensive Transport, School of Transportation and Logistics, Southwest Jiaotong Univ., 999 Xi’an Rd., Chengdu, China. Email: [email protected]
Xia Luo, Ph.D. [email protected]
Professor, National United Engineering Laboratory of Integrated and Intelligent Transportation, Key Laboratory of Big Data Application Technologies for Comprehensive Transport, School of Transportation and Logistics, Southwest Jiaotong Univ., 999 Xi’an Rd., Chengdu, China (corresponding author). Email: [email protected]

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