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...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
SAGE Publishing
2017-08-01
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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. |
first_indexed | 2024-12-11T18:47:31Z |
format | Article |
id | doaj.art-29039b4bddd3487ba44d830ec1e2538f |
institution | Directory Open Access Journal |
issn | 1687-8140 |
language | English |
last_indexed | 2024-12-11T18:47:31Z |
publishDate | 2017-08-01 |
publisher | SAGE Publishing |
record_format | Article |
series | Advances in Mechanical Engineering |
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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