Longer Pick-up for Less Pay: Towards Discount-based Mobility Services

Wanyi Xie, Zhijia Chen, Chen Jason Zhang, Libin Zheng, Peng Cheng, Jian Yin, Xuemin Lin

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

With the rapid development of mobile Internet technology, on-demand car-hailing services have become essential for people's daily commuting. Order dispatch is a critical problem in on-demand car-hailing services. However, in most existing works, the service provider is asked to set a unified pick-up distance to prevent long waiting time for requesters. Indeed, different requesters have different tolerance for pick-up distance, and some requesters may accept longer pick-ups if offered discounts for payment. Regarding this fact, we formulate discount-based order dispatch as a coupling of two subproblems, discount determination and order dispatch, aiming to dispatch more orders and thereby more platform profits. We propose customized methods to solve the problems for shared and non-shared mobility services, respectively. We also conduct extensive experiments to evaluate the effectiveness and efficiency of our proposed methods on a real dataset, which shows that our methods can achieve 170% improvements in non-shard services and 43% improvements in ridesharing services on average in terms of attained profit compared to the widely adopted baselines.

Original languageEnglish
Pages (from-to)3992-4006
Number of pages15
JournalIEEE Transactions on Knowledge and Data Engineering
Volume36
Issue number8
DOIs
Publication statusPublished - Feb 2024

Keywords

  • Mobility service
  • on-demand car-hailing
  • order dispatch

ASJC Scopus subject areas

  • Information Systems
  • Computer Science Applications
  • Computational Theory and Mathematics

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