Hee-Jung Jun, Suyoung Jung, Seungyeoup Kang, Taewan Kim, Cheol-Ho Cho, Won Young Jhoo, Jae-Pil Heo
{"title":"涉及老年人和儿童的行人与车辆碰撞热点相关因素:街道图像的深度学习分析","authors":"Hee-Jung Jun, Suyoung Jung, Seungyeoup Kang, Taewan Kim, Cheol-Ho Cho, Won Young Jhoo, Jae-Pil Heo","doi":"10.1080/12265934.2023.2282190","DOIUrl":null,"url":null,"abstract":"This study aimed to examine the factors associated with pedestrian–vehicle collision hotspots involving seniors and children. For the empirical analysis, we first quantified street-level images of ...","PeriodicalId":46464,"journal":{"name":"International Journal of Urban Sciences","volume":"34 2","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2023-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Factors associated with pedestrian-vehicle collision hotspots involving seniors and children: a deep learning analysis of street-level images\",\"authors\":\"Hee-Jung Jun, Suyoung Jung, Seungyeoup Kang, Taewan Kim, Cheol-Ho Cho, Won Young Jhoo, Jae-Pil Heo\",\"doi\":\"10.1080/12265934.2023.2282190\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study aimed to examine the factors associated with pedestrian–vehicle collision hotspots involving seniors and children. For the empirical analysis, we first quantified street-level images of ...\",\"PeriodicalId\":46464,\"journal\":{\"name\":\"International Journal of Urban Sciences\",\"volume\":\"34 2\",\"pages\":\"\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2023-11-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Urban Sciences\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1080/12265934.2023.2282190\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENVIRONMENTAL STUDIES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Urban Sciences","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/12265934.2023.2282190","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
Factors associated with pedestrian-vehicle collision hotspots involving seniors and children: a deep learning analysis of street-level images
This study aimed to examine the factors associated with pedestrian–vehicle collision hotspots involving seniors and children. For the empirical analysis, we first quantified street-level images of ...