{"title":"大城市的行人死亡率更高?美国115至161个大城市的尺度分析","authors":"Yu Sang Chang, Won Jae Lee, Jae Hee Lee","doi":"10.2139/ssrn.2601231","DOIUrl":null,"url":null,"abstract":"We examine the scaling relationship of pedestrian fatality counts as a function of the population size of 115 to 161 large U.S cities during the period of 1994 to 2011. We also examine the relationship of non-pedestrian and total traffic fatality counts as well. We used both annual and panel data bivariate and multivariate regression models.We found the scaling relationship display economy of scale or sublinear for pedestrian fatality. The relationship displays superlinear relationship in case of non-pedestrian fatality. When the relationship was examined by the subgroup of cities with different population sizes, the most pronounced scaling relationships was discovered for the group of mega cities. Implication from these findings will be presented.","PeriodicalId":410291,"journal":{"name":"ERN: Analytical Models (Topic)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Higher Pedestrian Fatalities in Larger Cities? Scaling Analysis of Over 115 to 161 Large U.S. Cities\",\"authors\":\"Yu Sang Chang, Won Jae Lee, Jae Hee Lee\",\"doi\":\"10.2139/ssrn.2601231\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We examine the scaling relationship of pedestrian fatality counts as a function of the population size of 115 to 161 large U.S cities during the period of 1994 to 2011. We also examine the relationship of non-pedestrian and total traffic fatality counts as well. We used both annual and panel data bivariate and multivariate regression models.We found the scaling relationship display economy of scale or sublinear for pedestrian fatality. The relationship displays superlinear relationship in case of non-pedestrian fatality. When the relationship was examined by the subgroup of cities with different population sizes, the most pronounced scaling relationships was discovered for the group of mega cities. Implication from these findings will be presented.\",\"PeriodicalId\":410291,\"journal\":{\"name\":\"ERN: Analytical Models (Topic)\",\"volume\":\"107 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ERN: Analytical Models (Topic)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.2601231\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ERN: Analytical Models (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.2601231","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Higher Pedestrian Fatalities in Larger Cities? Scaling Analysis of Over 115 to 161 Large U.S. Cities
We examine the scaling relationship of pedestrian fatality counts as a function of the population size of 115 to 161 large U.S cities during the period of 1994 to 2011. We also examine the relationship of non-pedestrian and total traffic fatality counts as well. We used both annual and panel data bivariate and multivariate regression models.We found the scaling relationship display economy of scale or sublinear for pedestrian fatality. The relationship displays superlinear relationship in case of non-pedestrian fatality. When the relationship was examined by the subgroup of cities with different population sizes, the most pronounced scaling relationships was discovered for the group of mega cities. Implication from these findings will be presented.