• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

考虑停车共享的中小学两阶段联合通勤模型。

A Two-Phase, Joint-Commuting Model for Primary and Secondary Schools Considering Parking Sharing.

机构信息

College of Transportation, Jilin University, Changchun 130022, China.

出版信息

Int J Environ Res Public Health. 2022 May 25;19(11):6435. doi: 10.3390/ijerph19116435.

DOI:10.3390/ijerph19116435
PMID:35682018
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9180156/
Abstract

In light of the traffic congestion and traffic environment problems around schools that are caused by students commuting by car, this paper explores an efficient and feasible student commuting travel plan. Based on the ideas of "public-private cooperation" and "parking sharing", combined with the characteristics of the family travel chain during the commuting period, a joint-commuting model of "private car and school bus" is creatively proposed. On the basis of considering the travel cost of parents and the operating cost of school bus, a two-phase commuting travel model for primary and secondary schools is proposed, and an algorithm is designed. The validity of the model is verified by an example and sensitivity analysis. The results show that the total time cost can be reduced by 23.33% when the private-car commuting mode is converted to the joint-commuting model. Among the results, we found that the driving time of a private car in the school commuting phase can be reduced by 23.36%, the dwell time can be reduced by 92.29%, and the driving time in the work and home phase can be reduced by 7.44%. Compared with the school-bus commuting mode, the school-bus time cost of joint commuting can be reduced by 54.88%. In addition, by analyzing the impact of various factors on the objective function and vehicle emissions, it can be seen that staggered commuting to school, regulating regional traffic volume, increasing parking spaces, and improving the utilization of parking spaces can effectively reduce the operating time cost of vehicles and exhaust emissions. The joint-commuting model proposed in this paper considers the balance between service level and resource consumption. While meeting the door-to-door travel needs of students, it can effectively reduce the travel costs of parents and school-bus operation costs, and it can alleviate traffic congestion around schools and reduce the impact on the environment.

摘要

鉴于学生驾车上下学导致的学校周边交通拥堵和交通环境问题,本文探讨了一种高效可行的学生通勤出行方案。基于“公私合作”和“停车共享”的理念,结合家庭通勤时段出行链的特点,创造性地提出了“私家车+校车”的联合通勤模式。在考虑家长出行成本和校车运营成本的基础上,提出了中小学生两阶段通勤出行模型,并设计了算法。通过实例验证和敏感性分析验证了模型的有效性。结果表明,将私家车通勤模式转换为联合通勤模式时,总时间成本可降低 23.33%。结果表明,在学校通勤阶段,私家车的驾驶时间可减少 23.36%,停留时间可减少 92.29%,工作和家庭阶段的驾驶时间可减少 7.44%。与校车通勤模式相比,联合通勤的校车时间成本可降低 54.88%。此外,通过分析各因素对目标函数和车辆排放的影响,可以看出错峰上下学、调节区域交通量、增加停车位、提高停车位利用率,可有效降低车辆运营时间成本和尾气排放。本文提出的联合通勤模式兼顾了服务水平和资源消耗的平衡,在满足学生门到门出行需求的同时,能有效降低家长出行成本和校车运营成本,缓解学校周边交通拥堵,减少对环境的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e83/9180156/909ca6eca2f8/ijerph-19-06435-g020.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e83/9180156/2a0de1ff7adb/ijerph-19-06435-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e83/9180156/3a5b9198a39e/ijerph-19-06435-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e83/9180156/3bc0a3051814/ijerph-19-06435-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e83/9180156/575f9bd60537/ijerph-19-06435-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e83/9180156/b673cc92ea21/ijerph-19-06435-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e83/9180156/13fcf6dab440/ijerph-19-06435-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e83/9180156/8e833e29f9a8/ijerph-19-06435-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e83/9180156/243901210ece/ijerph-19-06435-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e83/9180156/f773b19d63e1/ijerph-19-06435-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e83/9180156/e92e8eaec4ea/ijerph-19-06435-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e83/9180156/fb4ded6b940a/ijerph-19-06435-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e83/9180156/b0780fa354d7/ijerph-19-06435-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e83/9180156/2d7363203125/ijerph-19-06435-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e83/9180156/f8863082008e/ijerph-19-06435-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e83/9180156/0907b415706d/ijerph-19-06435-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e83/9180156/6e76cafaba08/ijerph-19-06435-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e83/9180156/3c24e47fc050/ijerph-19-06435-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e83/9180156/e72339e27fd5/ijerph-19-06435-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e83/9180156/bdcd5867e6f9/ijerph-19-06435-g019.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e83/9180156/909ca6eca2f8/ijerph-19-06435-g020.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e83/9180156/2a0de1ff7adb/ijerph-19-06435-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e83/9180156/3a5b9198a39e/ijerph-19-06435-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e83/9180156/3bc0a3051814/ijerph-19-06435-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e83/9180156/575f9bd60537/ijerph-19-06435-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e83/9180156/b673cc92ea21/ijerph-19-06435-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e83/9180156/13fcf6dab440/ijerph-19-06435-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e83/9180156/8e833e29f9a8/ijerph-19-06435-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e83/9180156/243901210ece/ijerph-19-06435-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e83/9180156/f773b19d63e1/ijerph-19-06435-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e83/9180156/e92e8eaec4ea/ijerph-19-06435-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e83/9180156/fb4ded6b940a/ijerph-19-06435-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e83/9180156/b0780fa354d7/ijerph-19-06435-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e83/9180156/2d7363203125/ijerph-19-06435-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e83/9180156/f8863082008e/ijerph-19-06435-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e83/9180156/0907b415706d/ijerph-19-06435-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e83/9180156/6e76cafaba08/ijerph-19-06435-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e83/9180156/3c24e47fc050/ijerph-19-06435-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e83/9180156/e72339e27fd5/ijerph-19-06435-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e83/9180156/bdcd5867e6f9/ijerph-19-06435-g019.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e83/9180156/909ca6eca2f8/ijerph-19-06435-g020.jpg

相似文献

1
A Two-Phase, Joint-Commuting Model for Primary and Secondary Schools Considering Parking Sharing.考虑停车共享的中小学两阶段联合通勤模型。
Int J Environ Res Public Health. 2022 May 25;19(11):6435. doi: 10.3390/ijerph19116435.
2
Vehicle emissions during children's school commuting: impacts of education policy.学生上下学期间的交通工具排放:教育政策的影响。
Environ Sci Technol. 2010 Mar 1;44(5):1537-43. doi: 10.1021/es902932n.
3
School Surrounding Region Traffic Commuting Analysis Based on Simulation.基于仿真的学校周边区域交通通勤分析。
Int J Environ Res Public Health. 2022 May 27;19(11):6566. doi: 10.3390/ijerph19116566.
4
Particulates and noise exposure during bicycle, bus and car commuting: A study in three European cities.自行车、公交车和汽车通勤过程中的颗粒物与噪声暴露:一项针对欧洲三个城市的研究。
Environ Res. 2017 Apr;154:181-189. doi: 10.1016/j.envres.2016.12.012. Epub 2017 Jan 11.
5
Commuting to school and to work among high school students in Santa Catarina state, Brazil: a comparative analysis between 2001 and 2011.巴西圣卡塔琳娜州高中生的上下学通勤情况:2001年与2011年的对比分析。
J Phys Act Health. 2014 Nov;11(8):1458-67. doi: 10.1123/jpah.2012-0410. Epub 2013 Dec 31.
6
Neighbourhood, Route and Workplace-Related Environmental Characteristics Predict Adults' Mode of Travel to Work.邻里、路线及工作场所相关的环境特征可预测成年人的上班出行方式。
PLoS One. 2013 Jun 19;8(6):e67575. doi: 10.1371/journal.pone.0067575. Print 2013.
7
Motivations for active commuting: a qualitative investigation of the period of home or work relocation.主动通勤的动机:对家庭或工作搬迁期间的定性调查。
Int J Behav Nutr Phys Act. 2012 Sep 11;9:109. doi: 10.1186/1479-5868-9-109.
8
From sedentary to active school commute: Multi-level factors associated with travel mode shifts.从久坐不动到积极的上下学通勤:与出行方式转变相关的多层次因素。
Prev Med. 2017 Feb;95 Suppl:S28-S36. doi: 10.1016/j.ypmed.2016.10.018. Epub 2016 Oct 24.
9
Predictors of healthier and more sustainable school travel mode profiles among Hong Kong adolescents.预测香港青少年更健康、更可持续的学校出行模式特征的因素。
Int J Behav Nutr Phys Act. 2019 May 28;16(1):48. doi: 10.1186/s12966-019-0807-4.
10
Air Pollution Exposure in Relation to the Commute to School: A Bradford UK Case Study.与上学通勤相关的空气污染暴露:英国布拉德福德案例研究
Int J Environ Res Public Health. 2016 Oct 29;13(11):1064. doi: 10.3390/ijerph13111064.

本文引用的文献

1
The school bus routing and scheduling problem with transfers.存在换乘的校车路线规划与调度问题
Networks (N Y). 2015 Mar;65(2):180-203. doi: 10.1002/net.21589. Epub 2015 Feb 2.