Detecting Home and Work Locations Using Multiday Transit Smart Card Data: Comparison of Three Methods-Reference-Cited by-同舟云学术

Detecting Home and Work Locations Using Multiday Transit Smart Card Data: Comparison of Three Methods

Published:2023-12 Issue:4 Volume:149 Page:
ISSN:0733-9488
Container-title:Journal of Urban Planning and Development
language:en
Short-container-title:J. Urban Plann. Dev.

Author:

Wang Zi-jia¹,Hu Zhou²,Ma Liang³,Luo Wei⁴

Affiliation:

1. School of Traffic and Transportation, Beijing Jiaotong Univ., No. 3 of Shangyuancun, Haidian District, Beijing 100044, PR China.

2. Transportation Research Centre Beijing Urban Construction Design and Development Group Co., Ltd., No. 5, Fuchengmen Beidajie, Xicheng District, Beijing 100032, PR China.

3. Dept. of Urban and Regional Planning College of Urban and Environmental Sciences, Peking Univ., Beijing 100871, PR China (corresponding author).

4. Beijing Advanced Innovation Center for Future Urban Design, Beijing Univ. of Civil Engineering and Architecture, Beijing 100044, PR China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Urban Studies,Development,Geography, Planning and Development,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/JUPDDM.UPENG-4403

Reference39 articles.

1. Public transport trip purpose inference using smart card fare data

2. Improving public transport ticketing through smart cards;Blythe P. T.;Proc. Inst. Civ. Eng. Munic. Eng.,2004

3. Probabilistic model for destination inference and travel pattern mining from smart card data;Cheng Z.;Transportation,2021

4. Augmenting transit trip characterization and travel behavior comprehension multiday location-stamped smart card transactions;Chu K. K. A.;Transp. Res. Rec.,2010

5. Driver-assisted bus interview passive transit travel survey with smart card automatic fare collection system and applications;Chu K. K. A.;Transp. Res. Rec.,2009