Mechanism design for first-mile ridesharing based on personalized requirements part II: Solution algorithm for large-scale problems
Zheyong Bian and
Xiang Liu
Transportation Research Part B: Methodological, 2019, vol. 120, issue C, 172-192
Abstract:
Ridesharing provides travelers with a low-cost and convenient first-mile mobility service. Our Part I paper designed a mechanism to incentivize more travelers to participate in the first-mile ridesharing service accounting for passengers’ personalized requirements on inconvenience attributes of ridesharing. In order to address the computational challenge of obtaining the mechanism for large-scale transportation networks, this paper develops a novel heuristic algorithm, called the Solution Pooling Approach (SPA) for efficiently solving large-scale mechanism design problems in the first-mile ridesharing context. This paper also extends the SPA to solve generalized mechanism design problems, analyzes specific circumstances under which the SPA can sustain the game-theoretic properties, including “individual rationality” and “incentive compatibility”, and identifies its limitations. For the particular application in first-mile ridesharing, the SPA maintains the properties of “individual rationality” and “incentive compatibility”. Numerical experimental results show that the SPA can address the complex first-mile ridesharing service mechanism design problem in a computationally viable and efficient manner.
Keywords: Ridesharing; First-mile; Personalized service; Mechanism design; Solution pooling approach (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (9)
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DOI: 10.1016/j.trb.2018.12.014
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