Temporal Distribution Analysis of Beijing’s Subway Ridership-Reference-Cited by-同舟云学术

Temporal Distribution Analysis of Beijing’s Subway Ridership

Published:2016-06-29 Issue: Volume: Page:
ISSN:
Container-title:CICTP 2016
language:
Short-container-title:

Author:

Liu Jianfeng¹²³⁴⁵,Ma Xiaolei¹²³⁴⁵,Liu Congcong¹²³⁴⁵,Wang Yinhai¹²³⁴⁵,Wang Jing¹²³⁴⁵

Affiliation:

1. Senior Engineer, College of Metropolitan Transportation, Beijing Univ. of Technology, Beijing 100022, China; Beijing Urban Construction Group Co., Ltd., Beijing 100037, China; Dept. of Civil and Environmental Engineering, Univ. of Washington, Seattle, WA 98195.

2. Associate Professor, Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control, School of Transportation Science and Engineering, Beihang Univ., Beijing 100191, China.

3. Postgraduate Student, Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control, School of Transportation Science and Engineering, Beihang Univ., Beijing 100191, China.

4. Professor, Dept. of Civil and Environmental Engineering, Univ. of Washington, Seattle, WA 98195.

5. Senior Engineer, Beijing Urban Construction Group Co., Ltd., Beijing 100037, China.

Publisher

American Society of Civil Engineers

Link

http://ascelibrary.org/doi/pdf/10.1061/9780784479896.059

Reference12 articles.

1. Bus rapid transit impacts on land uses and land values in Seoul, Korea

2. Rail transit passenger forecasting: a theoretical study in Shanghai;Chen B. Z.;Urban Transport of China,2009

3. Study on development of rail transit network in Guangzhou;He C. M.;Urban Transport of China,2009

4. Density and dispersion: the co-development of land use and rail in London

5. A New-found Popularity for Transit-oriented Developments? Lessons from Southern California

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Predicting Station-Level Peak Hour Ridership of Metro Considering the Peak Deviation Coefficient;Sustainability;2024-02-01

2. Nonlinear Model-Based Subway Station-Level Peak-Hour Ridership Estimation Approach in the Context of Peak Deviation;Transportation Research Record: Journal of the Transportation Research Board;2022-02-14