Longer Pick-Up for Less Pay: Towards Discount-Based Mobility Services

被引:0
|
作者
Xie, Wanyi [1 ]
Chen, Zhijia [1 ]
Zhang, Chen Jason [2 ]
Zheng, Libin [1 ]
Cheng, Peng [3 ]
Yin, Jian [1 ]
Lin, Xuemin [4 ]
机构
[1] Sun Yat Sen Univ, Guangdong Key Lab Big Data Anal & Proc, Guangzhou 510275, Guangdong, Peoples R China
[2] Hong Kong Polytech Univ, Sch Hotel & Tourism Management, Dept Comp, Hong Kong, Peoples R China
[3] East China Normal Univ, Sch Software Engn, Shanghai 200050, Peoples R China
[4] Shanghai Jiao Tong Univ, Antai Coll Econ & Management, Shanghai 200240, Peoples R China
基金
中国国家自然科学基金;
关键词
Shared transport; Costs; Symbols; Search methods; Public transportation; Optimization; Linear programming; Mobility service; on-demand car-hailing; order dispatch;
D O I
10.1109/TKDE.2024.3362893
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:3992 / 4006
页数:15
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