A network ridesharing experiment with sequential choice of transportation mode |
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Authors: | Vincent Mak Darryl A. Seale Eyran J. Gisches Amnon Rapoport Meng Cheng Myounghee Moon Rui Yang |
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Affiliation: | 1.Cambridge Judge Business School,University of Cambridge,Cambridge,UK;2.Lee Business School,University of Nevada, Las Vegas,Las Vegas,USA;3.Eller College of Management,University of Arizona,Tucson,USA;4.School of Business,University of California,Riverside,USA |
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Abstract: | ![]() Within the last decade, there has been a dramatic bloom in ridesharing businesses along with the emergence of new enabling technologies. A central issue in ridesharing, which is also important in the general domain of cost-sharing in economics and computer science, is that the sharing of cost implies positive externalities and hence coordination problems for the network users. We investigate these problems experimentally in the present study. In particular, we focus on how sequential observability of transportation mode choices can be a powerful facilitator of coordination in ridesharing. Our study abstracts the essential issues of coordination in ridesharing into a directed network game with experimentally testable predictions. In line with the theoretical analysis, our experimental evidence shows that even a limited extent of sequential choice observability might lead to efficient coordination. However, convergence to efficiency is slower with more limited observability, resulting in a significant increase in travel cost. |
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