Applying Experimental Economics to Analyze Behavior Change and Willingness to Pay for Bike Sharing System
Date Issued
2015
Date
2015
Author(s)
Chen, Ching-Yi
Abstract
Prediction of travelers’ behavior and their changes over time is very crucial for transport planning and policy assessment. The techniques transport planner used are highly relevant to behavioral problems that need to be consulting the public, crafting policy and regulations, and promoting sustainable patterns of behavior. However, this behavior economics approach has received comparatively limited attention in the planning and transportation literature. While it is increasingly popular to broadcast information for designing and evaluating policy, little is known regarding the effects of available information on change of travel behavior. This research aims to explore whether, and to what extent the individual travel behavior will be influenced toward sustainability, when providing information and traveler is educated. Three experiments were designed and conducted aiming at testing the results of different interventions on affecting different travelers’ behavior on willingness to pay (WTP) for public bike sharing system by providing information, implementing economic policy and educating people via randomly assigned. The results of three experiments were tested through online survey software. Experimental results show that providing information from different social norms and public subsidies produce crowding-in effects in the WTP for public bike sharing services and maximum public valuation of public bike sharing. The WTP for public bike has also shown a possible financial scheme for sustainable services of public bike sharing system.
Subjects
Willingness-to-pay
Public bike sharing
Urban transport pricing
Travel behavior
Multinomial logit model
Behavior economics
SDGs
Type
thesis
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