Factors affecting carsharing accessibility behavior in Bangkok
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Abstract
Carsharing is a new mode of travel that has become increasingly popular in several countries. Due to the features of the service that can support and connect with the public transport networks. A number of factors can influence user behavior and accessibility of the service, both of which vary in many different contexts. This study therefore focuses on factors that affect the accessibility behavior of carsharing in Bangkok. The results showed that those factors, including access distance to a carsharing station and vehicle ownership, have significant impacts on accessibility and user behavior in terms of public transport use, personal transport use and walking. In this study, accessibility of the carsharing users was analyzed through a set of statistical models, it was found that the artificial neural network model (ANN) proved to be more effective than the multinomial logistic regression model (MLR) in predicting the results of the user behavior and the accessibility of carsharing. The finding in this study can be as a guideline to determine the location of carsharing stations and improve the quality of carsharing service in Bangkok.
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Published manuscript are the rights of their original owners and RMUTSB Academic Journal. The manuscript content belongs to the authors' idea, it is not the opinion of the journal's committee and not the responsibility of Rajamangala University of Technology Suvarnabhumi
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