基于多源地理空间数据语义集成的街道级交通流和上下文感知分析

IF 2.1 3区 地球科学 Q2 GEOGRAPHY
Yatao Zhang, M. Raubal
{"title":"基于多源地理空间数据语义集成的街道级交通流和上下文感知分析","authors":"Yatao Zhang, M. Raubal","doi":"10.1111/tgis.13005","DOIUrl":null,"url":null,"abstract":"Sensing urban spaces from multisource geospatial data is vital to understanding the transportation system in the urban context. However, the complexity of urban context and its indirect interaction with traffic flow deepen the difficulty of exploring their relationship. This study proposes a geo‐semantic framework first to generate semantic representations of multi‐hierarchical urban context and street‐level traffic flow, and then investigate their mutual correlation and predictability using a novel semantic matching method. The results demonstrate that each street is associated with its multi‐hierarchical spatial signatures of urban context and street‐level temporal signatures of traffic flow. The correlation between urban context and traffic flow displays higher values after semantic matching than those in multi‐hierarchies. Moreover, we found that utilizing traffic flow to predict urban context results in better accuracy than the reversed prediction. The results of signature analysis and relationship exploration can contribute to a deeper understanding of context‐aware transportation research.","PeriodicalId":47842,"journal":{"name":"Transactions in GIS","volume":"284 1","pages":"3330 - 3348"},"PeriodicalIF":2.1000,"publicationDate":"2022-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Street‐level traffic flow and context sensing analysis through semantic integration of multisource geospatial data\",\"authors\":\"Yatao Zhang, M. Raubal\",\"doi\":\"10.1111/tgis.13005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Sensing urban spaces from multisource geospatial data is vital to understanding the transportation system in the urban context. However, the complexity of urban context and its indirect interaction with traffic flow deepen the difficulty of exploring their relationship. This study proposes a geo‐semantic framework first to generate semantic representations of multi‐hierarchical urban context and street‐level traffic flow, and then investigate their mutual correlation and predictability using a novel semantic matching method. The results demonstrate that each street is associated with its multi‐hierarchical spatial signatures of urban context and street‐level temporal signatures of traffic flow. The correlation between urban context and traffic flow displays higher values after semantic matching than those in multi‐hierarchies. Moreover, we found that utilizing traffic flow to predict urban context results in better accuracy than the reversed prediction. The results of signature analysis and relationship exploration can contribute to a deeper understanding of context‐aware transportation research.\",\"PeriodicalId\":47842,\"journal\":{\"name\":\"Transactions in GIS\",\"volume\":\"284 1\",\"pages\":\"3330 - 3348\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2022-11-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Transactions in GIS\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://doi.org/10.1111/tgis.13005\",\"RegionNum\":3,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"GEOGRAPHY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transactions in GIS","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1111/tgis.13005","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GEOGRAPHY","Score":null,"Total":0}
引用次数: 3

摘要

从多源地理空间数据中感知城市空间对于理解城市背景下的交通系统至关重要。然而,城市文脉的复杂性及其与交通流的间接相互作用加深了探索它们之间关系的难度。本研究首先提出了一个地理语义框架来生成多层次城市文脉和街道级交通流的语义表示,然后使用一种新的语义匹配方法来研究它们之间的相互相关性和可预测性。结果表明,每条街道都与其城市文脉的多层次空间特征和交通流的街道级时间特征相关联。语义匹配后的城市文脉与交通流的相关性值高于多层次匹配时的相关性值。此外,我们发现利用交通流量预测城市文脉的结果比反向预测更好。特征分析和关系探索的结果有助于更深入地理解上下文感知交通研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Street‐level traffic flow and context sensing analysis through semantic integration of multisource geospatial data
Sensing urban spaces from multisource geospatial data is vital to understanding the transportation system in the urban context. However, the complexity of urban context and its indirect interaction with traffic flow deepen the difficulty of exploring their relationship. This study proposes a geo‐semantic framework first to generate semantic representations of multi‐hierarchical urban context and street‐level traffic flow, and then investigate their mutual correlation and predictability using a novel semantic matching method. The results demonstrate that each street is associated with its multi‐hierarchical spatial signatures of urban context and street‐level temporal signatures of traffic flow. The correlation between urban context and traffic flow displays higher values after semantic matching than those in multi‐hierarchies. Moreover, we found that utilizing traffic flow to predict urban context results in better accuracy than the reversed prediction. The results of signature analysis and relationship exploration can contribute to a deeper understanding of context‐aware transportation research.
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
Transactions in GIS
Transactions in GIS GEOGRAPHY-
CiteScore
4.60
自引率
8.30%
发文量
116
期刊介绍: Transactions in GIS is an international journal which provides a forum for high quality, original research articles, review articles, short notes and book reviews that focus on: - practical and theoretical issues influencing the development of GIS - the collection, analysis, modelling, interpretation and display of spatial data within GIS - the connections between GIS and related technologies - new GIS applications which help to solve problems affecting the natural or built environments, or business
×
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