Data‐Driven Driver Dispatching System with Allocation Constraints and Operational Risk Management for a Ride‐Sharing Platform-Reference-Cited by-同舟云学术

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Data‐Driven Driver Dispatching System with Allocation Constraints and Operational Risk Management for a Ride‐Sharing Platform

Published:2020-03-21 Issue:6 Volume:51 Page:1490-1520
ISSN:0011-7315
Container-title:Decision Sciences
language:en
Short-container-title:Decision Sciences

Author:

Wang Tianyu¹,Wu Desheng²³^ORCID

Affiliation:

1. University of Toronto 1265 Military Trail Toronto M1C 1A4 Ontario Canada

2. Economics and Management School University of Chinese Academy of Sciences Beijing 100190 China

3. Stockholm Business School Stockholm University se‐106 91 Stockholm Sweden

Funder

National Natural Science Foundation of China

Marianne and Marcus Wallenberg Foundation

Publisher

Wiley

Subject

Management of Technology and Innovation,Information Systems and Management,Strategy and Management,General Business, Management and Accounting

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/deci.12433

Reference33 articles.

1. A State Aggregation Approach for Stochastic Multiperiod Last-Mile Ride-Sharing Problems

2. Crowdsourced Delivery—A Dynamic Pickup and Delivery Problem with Ad Hoc Drivers

3. Coordinating Supply and Demand on an On-Demand Service Platform with Impatient Customers

4. An Exact Method for the Car Pooling Problem Based on Lagrangean Column Generation

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4. Automated Order Dispatching Strategies Design Using Genetic Programming for Dynamic Ridesharing Problem;2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC);2023-10-01

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