A Data-Driven Study on the Impact of Land Use on Traffic Congestion Based on GWR Model-Reference-Cited by-同舟云学术

A Data-Driven Study on the Impact of Land Use on Traffic Congestion Based on GWR Model

Published:2020-12-09 Issue: Volume: Page:
ISSN:
Container-title:CICTP 2020
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Author:

Li Tian¹²²³⁴,Jiang Haobin¹²²³⁴,Jing Peng¹²²³⁴,Yu Yue¹²²³⁴,Zhang Mengmeng¹²²³⁴,Sang Huiyun¹²²³⁴

Affiliation:

1. School of Transportation and Logistics Engineering, Shandong Jiaotong Univ., Jinan, China; School of Automotive and Traffic Engineering, Jiangsu Univ., Jiangsu, China.

2. Professor, School of Automotive and Traffic Engineering, Jiangsu Univ., Jiangsu, China.

3. School of Transportation and Logistics Engineering, Shandong Jiaotong Univ., Jinan, China.

4. Professor, School of Transportation and Logistics Engineering, Shandong Jiaotong Univ., Jinan, China.

Publisher

American Society of Civil Engineers

Link

http://ascelibrary.org/doi/pdf/10.1061/9780784483053.257

Reference24 articles.

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2. Bornioli A Parkhurst G Morgan P L. (2019). -Affective experiences of built environments and the promotion of urban walking.‖ Transportation Research Part A: Policy and Practice 123.

3. Changxi M Ruichun H Wei Z etal (2018). -Path optimization of taxi carpooling.‖ PLOS ONE 13(8) e0203221-.

4. Cervero R. (1996). -Mixed land-uses and commuting: Evidence from the American Housing Survey.‖ Transportation Research Part A Policy and Practice 30(5) 361-377.

5. Dziauddin M F Powe N Alvanides S. (2015). -Estimating the Effects of Light Rail Transit (LRT) System on Residential Property Values Using Geographically Weighted Regression (GWR).‖ Applied Spatial Analysis & Policy 8(1) 1-25.

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