Assessing service and price sensitivities, and pivot elasticities of public bikeshare system users through monadic design and ordered logit regression-Reference-Cited by-同舟云学术

Assessing service and price sensitivities, and pivot elasticities of public bikeshare system users through monadic design and ordered logit regression

Published:2019-06 Issue: Volume:1 Page:100015
ISSN:2590-1982
Container-title:Transportation Research Interdisciplinary Perspectives
language:en
Short-container-title:Transportation Research Interdisciplinary Perspectives

Author:

Kaviti Shruthi,Venigalla Mohan M.

Funder

US Department of Transportation

George Mason University

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Transportation,Automotive Engineering,Civil and Structural Engineering

Reference46 articles.

1. Dynamics of bike sharing in Washington, DC and Brisbane, Australia: implications for policy and planning;Ahillen;Int. J. Sustain. Transp.,2016

2. Bachand-Marleau, J., B. Lee, and A. El-Geneidy (2012). Better Understanding of Factors Influencing Likelihood of Using Shared Bicycle Systems and Frequency of Use. Transportation Research Record: Journal of the Transportation Research Board 2314: 66–71. Nov. 2011. Web. 26 Feb. 2016.

3. Are you sure the price is right? (pricing and business strategy);Bakken;Strateg. Dir.,2012

4. Assessing proportionality in the proportional odds model for ordinal logistic regression;Brant;Biometrics,1990

5. 2016 Capital Bikeshare Member Survey Report;Capital Bikeshare,2016

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