Advanced search
Publication Cover
Transportation Letters
The International Journal of Transportation Research
Volume 8, 2016 - Issue 3
Submit an article Journal homepage
528
Views
16
CrossRef citations to date
0
Altmetric
Original Articles

Estimation of transit ridership based on spatial analysis and precise land use data

L.-S. SunBeijing Key Laboratory of Traffic Engineering, Beijing University of Technology, No. 100 Pingleyuan, Chaoyang District, Beijing100124, ChinaCorrespondence[email protected]
,
S.-W. WangBeijing Key Laboratory of Traffic Engineering, Beijing University of Technology, No. 100 Pingleyuan, Chaoyang District, Beijing100124, China
,
L.-Y. YaoSchool of Mechanical and Vehicular Engineering, Beijing Institute of Technology, ST 5, Zhongguancun, Haidian District, Beijing100081, China
,
J. RongBeijing Key Laboratory of Traffic Engineering, Beijing University of Technology, No. 100 Pingleyuan, Chaoyang District, Beijing100124, China
&
J.-M. MaP.E. Texas Department of Transportation, 10016 Liriope Cove, Austin, TX, 78750, USA
Pages 140-147 | Received 25 Jan 2015, Accepted 30 Jul 2015, Published online: 04 Mar 2016

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Order Reprints Request Corporate Permissions

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

Request Academic Permissions

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.