Optimization of park-and-ride system: A case study of Shunyi in Beijing

Nowadays, rapid increase in automobile ownership results in traffic congestions especially in large cities all over the world. Park-and-ride mode could ease traffic congestion in urban areas without abandoning traffic demands. The optimization of park-and-ride facility location and charging rules ar...

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Main Authors: Xiaopeng Shen, Feng Chen, Baojian Su, Qian Chen, Jinbao Yao
Format: Article
Language:English
Published: SAGE Publishing 2017-08-01
Series:Advances in Mechanical Engineering
Online Access:https://doi.org/10.1177/1687814017714987
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author Xiaopeng Shen
Feng Chen
Baojian Su
Qian Chen
Jinbao Yao
author_facet Xiaopeng Shen
Feng Chen
Baojian Su
Qian Chen
Jinbao Yao
author_sort Xiaopeng Shen
collection DOAJ
description Nowadays, rapid increase in automobile ownership results in traffic congestions especially in large cities all over the world. Park-and-ride mode could ease traffic congestion in urban areas without abandoning traffic demands. The optimization of park-and-ride facility location and charging rules are of importance for travelers, governments, and environment. Therefore, a multi-objective model considering investments and pollution is proposed and a bi-level genetic algorithm is designed. The case study of Shunyi in Beijing is conducted and the results show that the optimization model is feasible, which could provide suggestion for charging policies and park-and-ride locations.
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spelling doaj.art-29039b4bddd3487ba44d830ec1e2538f2022-12-22T00:54:24ZengSAGE PublishingAdvances in Mechanical Engineering1687-81402017-08-01910.1177/1687814017714987Optimization of park-and-ride system: A case study of Shunyi in BeijingXiaopeng Shen0Feng Chen1Baojian Su2Qian Chen3Jinbao Yao4School of Civil Engineering, Beijing Jiaotong University, Beijing, ChinaBeijing Engineering and Technology Research Center of Rail Transit Line Safety and Disaster Prevention, Beijing Jiaotong University, Beijing, ChinaSchool of Civil Engineering, Beijing Jiaotong University, Beijing, ChinaSchool of Transportation Science and Engineering, Beihang University, Beijing, ChinaSchool of Civil Engineering, Beijing Jiaotong University, Beijing, ChinaNowadays, rapid increase in automobile ownership results in traffic congestions especially in large cities all over the world. Park-and-ride mode could ease traffic congestion in urban areas without abandoning traffic demands. The optimization of park-and-ride facility location and charging rules are of importance for travelers, governments, and environment. Therefore, a multi-objective model considering investments and pollution is proposed and a bi-level genetic algorithm is designed. The case study of Shunyi in Beijing is conducted and the results show that the optimization model is feasible, which could provide suggestion for charging policies and park-and-ride locations.https://doi.org/10.1177/1687814017714987
spellingShingle Xiaopeng Shen
Feng Chen
Baojian Su
Qian Chen
Jinbao Yao
Optimization of park-and-ride system: A case study of Shunyi in Beijing
Advances in Mechanical Engineering
title Optimization of park-and-ride system: A case study of Shunyi in Beijing
title_full Optimization of park-and-ride system: A case study of Shunyi in Beijing
title_fullStr Optimization of park-and-ride system: A case study of Shunyi in Beijing
title_full_unstemmed Optimization of park-and-ride system: A case study of Shunyi in Beijing
title_short Optimization of park-and-ride system: A case study of Shunyi in Beijing
title_sort optimization of park and ride system a case study of shunyi in beijing
url https://doi.org/10.1177/1687814017714987
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