基于图论和交通压力水平的自行车网络连通性评价

Q Engineering
Md Mintu Miah, Stephen P. Mattingly, Kate Kyung Hyun
{"title":"基于图论和交通压力水平的自行车网络连通性评价","authors":"Md Mintu Miah, Stephen P. Mattingly, Kate Kyung Hyun","doi":"10.1061/jtepbs.teeng-7776","DOIUrl":null,"url":null,"abstract":"The quality of the bicycle network determines ridership, safety, connectivity, equity, and livability. Very few former research studies investigated network connectivity for individual user types and identify network needs and barriers based on these rider types. This study measures the network connectivity for different rider types using level of traffic stress (LTS) and graph theory concepts. As a symbolic representation of a road network and its connectivity, a graph represents the structural properties of networks and compares one measure over another by taking into account spatial features. In addition, this study defines a bicycle network for different types of riders using LTS metrics based on traffic speed, road geometry, and traffic volume. This study evaluates the OpenStreetMap (OSM) bicycle network for Portland, Oregon, as a case study. Three transit stations in the downtown, riverside, and residential area were considered to assess the connectivity and barriers with a home at block level for last and first-mile coverage. The analysis shows that 29% of links in Portland need to be improved with more bicycle facilities to provide access to basic adult riders, and 33% of links require improvement for children. The networks are well connected for “strong and fearless” and “confident and enthused” users but not well connected for basic adults and children in many neighborhoods with low alpha and grid tree pattern (GTP) indices. The results indicate that planners and designers need to improve their network connectivity for all types of users to ensure equal active transportation opportunities beyond a particular portion of the network.Practical ApplicationsIn general, a well-connected network is important to provide the shortest route from origin to destination and safe traveling paths for all ages of people. It is critical for cities or government agencies to understand how their network is connected to different users because this knowledge will provide a fundamental basis for resource prioritizations on bicycle network improvement. This study developed a strategy using traffic stress and geometric properties of the network to assess their network connectivity. Practitioners can apply these techniques on a small scale (e.g., around transit stations) as well as large scale (e.g., entire city network) to identify the network connectivity. This study extends the applications to evaluate transportation equity in bicycle networks using served/ unserved populations where disparities in network connectivity exist to favor higher-income people.","PeriodicalId":49972,"journal":{"name":"Journal of Transportation Engineering","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evaluation of Bicycle Network Connectivity Using Graph Theory and Level of Traffic Stress\",\"authors\":\"Md Mintu Miah, Stephen P. Mattingly, Kate Kyung Hyun\",\"doi\":\"10.1061/jtepbs.teeng-7776\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The quality of the bicycle network determines ridership, safety, connectivity, equity, and livability. Very few former research studies investigated network connectivity for individual user types and identify network needs and barriers based on these rider types. This study measures the network connectivity for different rider types using level of traffic stress (LTS) and graph theory concepts. As a symbolic representation of a road network and its connectivity, a graph represents the structural properties of networks and compares one measure over another by taking into account spatial features. In addition, this study defines a bicycle network for different types of riders using LTS metrics based on traffic speed, road geometry, and traffic volume. This study evaluates the OpenStreetMap (OSM) bicycle network for Portland, Oregon, as a case study. Three transit stations in the downtown, riverside, and residential area were considered to assess the connectivity and barriers with a home at block level for last and first-mile coverage. The analysis shows that 29% of links in Portland need to be improved with more bicycle facilities to provide access to basic adult riders, and 33% of links require improvement for children. The networks are well connected for “strong and fearless” and “confident and enthused” users but not well connected for basic adults and children in many neighborhoods with low alpha and grid tree pattern (GTP) indices. The results indicate that planners and designers need to improve their network connectivity for all types of users to ensure equal active transportation opportunities beyond a particular portion of the network.Practical ApplicationsIn general, a well-connected network is important to provide the shortest route from origin to destination and safe traveling paths for all ages of people. It is critical for cities or government agencies to understand how their network is connected to different users because this knowledge will provide a fundamental basis for resource prioritizations on bicycle network improvement. This study developed a strategy using traffic stress and geometric properties of the network to assess their network connectivity. Practitioners can apply these techniques on a small scale (e.g., around transit stations) as well as large scale (e.g., entire city network) to identify the network connectivity. This study extends the applications to evaluate transportation equity in bicycle networks using served/ unserved populations where disparities in network connectivity exist to favor higher-income people.\",\"PeriodicalId\":49972,\"journal\":{\"name\":\"Journal of Transportation Engineering\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Transportation Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1061/jtepbs.teeng-7776\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Transportation Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1061/jtepbs.teeng-7776","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0

摘要

自行车网络的质量决定了乘客数量、安全性、连接性、公平性和宜居性。以前很少有研究调查个人用户类型的网络连接,并根据这些用户类型确定网络需求和障碍。本研究使用交通压力水平(LTS)和图论概念来测量不同乘客类型的网络连通性。作为道路网络及其连通性的象征性表示,图形表示网络的结构属性,并通过考虑空间特征来比较不同的测量。此外,本研究使用基于交通速度、道路几何形状和交通量的LTS指标定义了不同类型骑行者的自行车网络。本研究以俄勒冈州波特兰市的开放街道地图(OSM)自行车网络为例进行了评估。市中心、河边和住宅区的三个交通站点被认为是评估最后和第一英里覆盖范围内街区水平的住宅的连通性和障碍。分析显示,波特兰29%的道路需要改善,增加更多的自行车设施,为基本的成年骑手提供通道,33%的道路需要改善,以供儿童使用。对于“坚强无畏”和“自信热情”的用户,网络连接良好,但对于许多alpha和网格树模式(GTP)指数较低的社区的基本成人和儿童,网络连接不佳。研究结果表明,规划师和设计师需要为所有类型的用户改善网络连通性,以确保在网络的特定部分之外有平等的主动交通机会。一般来说,一个连接良好的网络对于为所有年龄段的人提供从起点到目的地的最短路线和安全的旅行路径非常重要。对于城市或政府机构来说,了解他们的网络如何连接到不同的用户是至关重要的,因为这些知识将为改善自行车网络的资源优先级提供基本基础。本研究开发了一种利用交通压力和网络几何特性来评估其网络连通性的策略。从业者可以在小规模(例如,在交通站点周围)和大规模(例如,整个城市网络)上应用这些技术来识别网络连接。本研究扩展了应用程序,以评估自行车网络中的交通公平性,使用服务/未服务人群,其中网络连通性存在有利于高收入人群的差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of Bicycle Network Connectivity Using Graph Theory and Level of Traffic Stress
The quality of the bicycle network determines ridership, safety, connectivity, equity, and livability. Very few former research studies investigated network connectivity for individual user types and identify network needs and barriers based on these rider types. This study measures the network connectivity for different rider types using level of traffic stress (LTS) and graph theory concepts. As a symbolic representation of a road network and its connectivity, a graph represents the structural properties of networks and compares one measure over another by taking into account spatial features. In addition, this study defines a bicycle network for different types of riders using LTS metrics based on traffic speed, road geometry, and traffic volume. This study evaluates the OpenStreetMap (OSM) bicycle network for Portland, Oregon, as a case study. Three transit stations in the downtown, riverside, and residential area were considered to assess the connectivity and barriers with a home at block level for last and first-mile coverage. The analysis shows that 29% of links in Portland need to be improved with more bicycle facilities to provide access to basic adult riders, and 33% of links require improvement for children. The networks are well connected for “strong and fearless” and “confident and enthused” users but not well connected for basic adults and children in many neighborhoods with low alpha and grid tree pattern (GTP) indices. The results indicate that planners and designers need to improve their network connectivity for all types of users to ensure equal active transportation opportunities beyond a particular portion of the network.Practical ApplicationsIn general, a well-connected network is important to provide the shortest route from origin to destination and safe traveling paths for all ages of people. It is critical for cities or government agencies to understand how their network is connected to different users because this knowledge will provide a fundamental basis for resource prioritizations on bicycle network improvement. This study developed a strategy using traffic stress and geometric properties of the network to assess their network connectivity. Practitioners can apply these techniques on a small scale (e.g., around transit stations) as well as large scale (e.g., entire city network) to identify the network connectivity. This study extends the applications to evaluate transportation equity in bicycle networks using served/ unserved populations where disparities in network connectivity exist to favor higher-income people.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Journal of Transportation Engineering
Journal of Transportation Engineering 工程技术-工程:土木
CiteScore
1.22
自引率
0.00%
发文量
0
审稿时长
3.6 months
期刊介绍: Information not localized
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信