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School Surrounding Region Traffic Commuting Analysis Based on Simulation

Student commuting is an important part of urban travel demand and private car commuting plays an important role in urban traffic, especially in areas near schools. Since parents, especially the parents of elementary and junior high school students, prefer to drive rather than take public transport,...

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Detalles Bibliográficos
Autores principales: Liu, Huasheng, Deng, Haoran, Li, Yu, Zhao, Yuqi, Li, Xiaowen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9180274/
https://www.ncbi.nlm.nih.gov/pubmed/35682150
http://dx.doi.org/10.3390/ijerph19116566
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author Liu, Huasheng
Deng, Haoran
Li, Yu
Zhao, Yuqi
Li, Xiaowen
author_facet Liu, Huasheng
Deng, Haoran
Li, Yu
Zhao, Yuqi
Li, Xiaowen
author_sort Liu, Huasheng
collection PubMed
description Student commuting is an important part of urban travel demand and private car commuting plays an important role in urban traffic, especially in areas near schools. Since parents, especially the parents of elementary and junior high school students, prefer to drive rather than take public transport, there will be a negative effect on traffic management. To address the challenge, a simulation model is established based on schools’ surrounding regions to analyze traffic status. Specifically, the model focuses on urban construction and transportation near the entrance of schools and neighborhoods. In addition, four variable parameters consisting of the directional hourly volume, the parking demand of delivery vehicles, the distance between the school and intersection, and the average parking time for pick-up vehicles are set as influence factors, while traffic efficiency, energy consumption, and pollutant emissions are considered as the evaluation criteria of our model. Extensive simulated experiments show that comparing different scenarios, the traffic state of schools’ surrounding areas can achieve much better performance when the distance between entrances and intersections is 400 m under the 1000 pcu/h condition. This research can provide a scientific basis for school regional traffic management and organization optimization.
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spelling pubmed-91802742022-06-10 School Surrounding Region Traffic Commuting Analysis Based on Simulation Liu, Huasheng Deng, Haoran Li, Yu Zhao, Yuqi Li, Xiaowen Int J Environ Res Public Health Article Student commuting is an important part of urban travel demand and private car commuting plays an important role in urban traffic, especially in areas near schools. Since parents, especially the parents of elementary and junior high school students, prefer to drive rather than take public transport, there will be a negative effect on traffic management. To address the challenge, a simulation model is established based on schools’ surrounding regions to analyze traffic status. Specifically, the model focuses on urban construction and transportation near the entrance of schools and neighborhoods. In addition, four variable parameters consisting of the directional hourly volume, the parking demand of delivery vehicles, the distance between the school and intersection, and the average parking time for pick-up vehicles are set as influence factors, while traffic efficiency, energy consumption, and pollutant emissions are considered as the evaluation criteria of our model. Extensive simulated experiments show that comparing different scenarios, the traffic state of schools’ surrounding areas can achieve much better performance when the distance between entrances and intersections is 400 m under the 1000 pcu/h condition. This research can provide a scientific basis for school regional traffic management and organization optimization. MDPI 2022-05-27 /pmc/articles/PMC9180274/ /pubmed/35682150 http://dx.doi.org/10.3390/ijerph19116566 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Liu, Huasheng
Deng, Haoran
Li, Yu
Zhao, Yuqi
Li, Xiaowen
School Surrounding Region Traffic Commuting Analysis Based on Simulation
title School Surrounding Region Traffic Commuting Analysis Based on Simulation
title_full School Surrounding Region Traffic Commuting Analysis Based on Simulation
title_fullStr School Surrounding Region Traffic Commuting Analysis Based on Simulation
title_full_unstemmed School Surrounding Region Traffic Commuting Analysis Based on Simulation
title_short School Surrounding Region Traffic Commuting Analysis Based on Simulation
title_sort school surrounding region traffic commuting analysis based on simulation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9180274/
https://www.ncbi.nlm.nih.gov/pubmed/35682150
http://dx.doi.org/10.3390/ijerph19116566
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