A Bus-Service-Based Zone Division Approach for the Spatial Analysis of Public Bus: A Case Study in South China

IF 2 4区 工程技术 Q2 ENGINEERING, CIVIL Journal of Advanced Transportation Pub Date : 2024-02-28 DOI:10.1155/2024/8681100
Fanghao Fu, Jiemin Xie, Ming Cai, Wei Huang
{"title":"A Bus-Service-Based Zone Division Approach for the Spatial Analysis of Public Bus: A Case Study in South China","authors":"Fanghao Fu,&nbsp;Jiemin Xie,&nbsp;Ming Cai,&nbsp;Wei Huang","doi":"10.1155/2024/8681100","DOIUrl":null,"url":null,"abstract":"<p>Public bus is one of the major green transport modes in most cities, and a proper analysis of public bus can enhance its sustainable development. Hence, the analysis of public bus is always a hot research topic. Generally, to consider the heterogeneity in the studied area and reduce the computation difficulties, the study area is divided into multiple zones and then various analytical methods are applied. However, an improper zone division could lower the quality of the analysis results and then probably mislead the improvement strategy design. This study examines the influence of the two commonly used zone division methods (the grid-based method and the natural-boundary-based method) on the spatial analysis of public bus service using the analytical example. The result shows that the impact of zone division exists. Therefore, this study aims to identify the possible approach to reduce the negative impact and suggests a new zone division method, the bus-service-based (BS-based) method, for the spatial analysis of public bus service. The BS-based method is compared with the commonly used zone division methods using the real-world data, and the comparison results demonstrate that the BS-based method can be more efficient to support the spatial analysis of bus service.</p>","PeriodicalId":50259,"journal":{"name":"Journal of Advanced Transportation","volume":null,"pages":null},"PeriodicalIF":2.0000,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Advanced Transportation","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1155/2024/8681100","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
引用次数: 0

Abstract

Public bus is one of the major green transport modes in most cities, and a proper analysis of public bus can enhance its sustainable development. Hence, the analysis of public bus is always a hot research topic. Generally, to consider the heterogeneity in the studied area and reduce the computation difficulties, the study area is divided into multiple zones and then various analytical methods are applied. However, an improper zone division could lower the quality of the analysis results and then probably mislead the improvement strategy design. This study examines the influence of the two commonly used zone division methods (the grid-based method and the natural-boundary-based method) on the spatial analysis of public bus service using the analytical example. The result shows that the impact of zone division exists. Therefore, this study aims to identify the possible approach to reduce the negative impact and suggests a new zone division method, the bus-service-based (BS-based) method, for the spatial analysis of public bus service. The BS-based method is compared with the commonly used zone division methods using the real-world data, and the comparison results demonstrate that the BS-based method can be more efficient to support the spatial analysis of bus service.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于公交服务区域划分的公交空间分析方法:华南案例研究
公共汽车是大多数城市的主要绿色交通方式之一,对公共汽车进行适当的分析可以促进其可持续发展。因此,公交分析一直是研究的热点。一般来说,为了考虑研究区域的异质性并降低计算难度,研究区域会被划分为多个区域,然后应用各种分析方法。然而,不恰当的区域划分会降低分析结果的质量,进而可能误导改善策略的设计。本研究通过分析实例,研究了两种常用的区域划分方法(基于网格的方法和基于自然边界的方法)对公共汽车服务空间分析的影响。结果表明,区域划分的影响是存在的。因此,本研究旨在找出减少负面影响的可行方法,并为公共巴士服务的空间分析提出了一种新的区域划分方法,即基于巴士服务(BS)的方法。本研究利用实际数据将基于 BS 的方法与常用的区域划分方法进行了比较,比较结果表明,基于 BS 的方法可以更有效地支持公交服务的空间分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Journal of Advanced Transportation
Journal of Advanced Transportation 工程技术-工程:土木
CiteScore
5.00
自引率
8.70%
发文量
466
审稿时长
7.3 months
期刊介绍: The Journal of Advanced Transportation (JAT) is a fully peer reviewed international journal in transportation research areas related to public transit, road traffic, transport networks and air transport. It publishes theoretical and innovative papers on analysis, design, operations, optimization and planning of multi-modal transport networks, transit & traffic systems, transport technology and traffic safety. Urban rail and bus systems, Pedestrian studies, traffic flow theory and control, Intelligent Transport Systems (ITS) and automated and/or connected vehicles are some topics of interest. Highway engineering, railway engineering and logistics do not fall within the aims and scope of JAT.
期刊最新文献
Ethanol Fuel Blending Program in India: Analysis of Environmental, Economic, and Policy Aspects Using System Dynamics Approach Evaluation of Spatiotemporal Transit Accessibility: Weighted Indexing Using the CRITIC-MCDM Approach and Performance Gap Analysis 3D Monitoring Model for Real-Time Displacement of Metro Tunnel under “Dual Carbon” Background Measuring Travel Time Reliability for Urban Residents’ Commutes via the Integration of Information Entropy and Standard Deviation A Lane Change Strategy to Enhance Traffic Safety in the Coexistence of Autonomous Vehicles and Manual Vehicles
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1