Multi-level analyses on the nearest-first matching policy of on-demand chauffeured ride-hailing service-Reference-Cited by-同舟云学术

Multi-level analyses on the nearest-first matching policy of on-demand chauffeured ride-hailing service

Published:2020-07-22 Issue:10 Volume:15 Page:749-767
ISSN:1556-8318
Container-title:International Journal of Sustainable Transportation
language:en
Short-container-title:International Journal of Sustainable Transportation

Author:

Yang Ruiling¹,Lai Minghui²

Affiliation:

1. School of Sociology and Population Sciences, Nanjing University of Posts and Telecommunications, Nanjing, P.R. China

2. School of Economics and Management, Southeast University, Nanjing, P.R. China

Funder

National Natural Science Foundation of China

The Scientific Research Foundation of Nanjing University of Posts and Telecommunications under

The Fundamental Research Funds for the Central Universities

Publisher

Informa UK Limited

Subject

Transportation,Automotive Engineering,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Civil and Structural Engineering,Environmental Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/15568318.2020.1795760

Reference57 articles.

1. Analysys Ltd. (2019). Analysis report on China’s ride-hailing market in 2019. Retrieved February 10, 2020, from http://www.199it.com/archives/913382.html

2. Predicting real-time surge pricing of ride-sourcing companies

3. Dynamic Pricing in a Labor Market

4. Spatial visitation prediction of on-demand ride services using the scaling law

5. Understanding ridesplitting behavior of on-demand ride services: An ensemble learning approach

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