Carsharing equitable relocation problem: A two-stage stochastic programming approach with learning-embedded endogenous uncertainty in demand-Reference-Cited by-同舟云学术

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Carsharing equitable relocation problem: A two-stage stochastic programming approach with learning-embedded endogenous uncertainty in demand

Published:2024-01 Issue: Volume:179 Page:102868
ISSN:0191-2615
Container-title:Transportation Research Part B: Methodological
language:en
Short-container-title:Transportation Research Part B: Methodological

Author:

Zhang Si,Sun Huijun,Liu Yang,Lv Ying,Wu Jianjun,Feng Xiaoyan

Funder

China Scholarship Council

Higher Education Discipline Innovation Project

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Transportation,Civil and Structural Engineering

Reference52 articles.

1. Transformation and linearization techniques in optimization: A state-of-the-art survey;Asghari;Mathematics,2022

2. 6-Incorporating equity into the school bus scheduling problem;Banerjee;Transp. Res. E,2019

3. Introduction to Stochastic Programming;Birge,2011

4. Investigating the effect of temporal and spatial flexibility on the performance of one-way electric carsharing systems;Boyacı;Transp. Res. B,2019

5. An optimization framework for the development of efficient one-way car-sharing systems;Boyaci;European J. Oper. Res.,2015

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1. Short-term and long-term impacts of shared autonomous vehicle choice behavior;Transportation Research Part D: Transport and Environment;2024-07

2. Addressing COVID-induced changes in spatiotemporal travel mobility and community structure utilizing trip data: An innovative graph-based deep learning approach;Transportation Research Part A: Policy and Practice;2024-02

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