A geographically and temporally weighted regression model to explore the spatiotemporal influence of built environment on transit ridership-Reference-Cited by-同舟云学术

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A geographically and temporally weighted regression model to explore the spatiotemporal influence of built environment on transit ridership

Published:2018-07 Issue: Volume:70 Page:113-124
ISSN:0198-9715
Container-title:Computers, Environment and Urban Systems
language:en
Short-container-title:Computers, Environment and Urban Systems

Author:

Ma Xiaolei,Zhang Jiyu,Ding Chuan^ORCID,Wang Yunpeng

Funder

National Natural Science Foundation of China

Beijing Natural Science Foundation

China Association for Science and Technology

Publisher

Elsevier BV

Subject

Urban Studies,General Environmental Science,Ecological Modeling,Geography, Planning and Development

Reference53 articles.

1. Unlimited access;Brown;Transportation,2001

2. Geographically weighted regression: A method for exploring spatial nonstationarity;Brunsdon;Geographical Analysis,1996

3. Do changes in neighborhood characteristics lead to changes in travel behavior? A structural equations modeling approach;Cao;Transportation,2007

4. The relationship between the built environment and nonwork travel: A case study of Northern California;Cao;Transportation Research Part A Policy & Practice,2009

5. Application of geographically weighted regression to the direct forecasting of transit ridership at station-level;Cardozo;Applied Geography,2012

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