Bayesian models with spatial autocorrelation for bike sharing ridership variability based on revealed preference GPS trajectory data-Reference-Cited by-同舟云学术

Bayesian models with spatial autocorrelation for bike sharing ridership variability based on revealed preference GPS trajectory data

Published:2019-10-10 Issue:11 Volume:13 Page:1658-1667
ISSN:1751-9578
Container-title:IET Intelligent Transport Systems
language:en
Short-container-title:IET Intelligent Transport Systems

Author:

Christian Kapuku¹,Cho Shin‐Hyung²^ORCID,Kho Seung‐Young¹,Kim Dong‐Kyu¹^ORCID

Affiliation:

1. Department of Civil and Environmental Engineering and Institute of Construction and Environmental EngineeringSeoul National UniversitySeoul08826Republic of Korea

2. Institute of Engineering Research, Seoul National UniversitySeoul08826Republic of Korea

Publisher

Institution of Engineering and Technology (IET)

Subject

Law,Mechanical Engineering,General Environmental Science,Transportation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-its.2019.0159

Reference41 articles.

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4. Analysis of bicycle commuter routes using GPS and GIS;Pereira S.;Procedia – Soc. Behav. Sci.,2014

5. Where do cyclists ride? A route choice model developed with revealed preference GPS data;Broach J.;Transp. Res. A.,2012

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