A network ridesharing experiment with sequential choice of transportation mode
Autor: | Meng Cheng, Rui Yang, Amnon Rapoport, Vincent Mak, Darryl A. Seale, Eyran J. Gisches, Myounghee Moon |
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Přispěvatelé: | Mak, Vincent [0000-0002-4690-0819], Apollo - University of Cambridge Repository |
Rok vydání: | 2018 |
Předmět: |
Ridesharing
Operations research Computer science Sequential choice General Decision Sciences 0102 computer and information sciences Traffic networks 01 natural sciences Domain (software engineering) Experiment Arts and Humanities (miscellaneous) 0502 economics and business Convergence (routing) Developmental and Educational Psychology Observability 050207 economics Applied Psychology 05 social sciences Mode (statistics) General Social Sciences Travel cost Computer Science Applications 010201 computation theory & mathematics Facilitator General Economics Econometrics and Finance Externality |
Zdroj: | Theory and Decision. 85:407-433 |
ISSN: | 1573-7187 0040-5833 |
DOI: | 10.1007/s11238-018-9663-y |
Popis: | 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. |
Databáze: | OpenAIRE |
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