{"title":"警车故障的产生过程:对维修设施人员配备的影响","authors":"John M. Gleason","doi":"10.1016/0147-8001(79)90015-9","DOIUrl":null,"url":null,"abstract":"<div><p>This paper examines the Poisson process, which has proven useful in several public sector analyses, as a model of a police patrol car breakdown process. On the basis of available patrol car breakdown data for a 1-yr period, the Poisson was found to be a good model of patrol car breakdowns in a city of approximately 175,000 population. Results of both chisquare and Kolmogorov-Smirnov tests are presented. Finally, implications of the Poisson model for maintenance facility staffing are discussed.</p></div>","PeriodicalId":101267,"journal":{"name":"Urban Systems","volume":"4 2","pages":"Pages 167-173"},"PeriodicalIF":0.0000,"publicationDate":"1979-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0147-8001(79)90015-9","citationCount":"1","resultStr":"{\"title\":\"A generating process for police patrol car breakdowns: Implications for maintenance facility staffing\",\"authors\":\"John M. Gleason\",\"doi\":\"10.1016/0147-8001(79)90015-9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>This paper examines the Poisson process, which has proven useful in several public sector analyses, as a model of a police patrol car breakdown process. On the basis of available patrol car breakdown data for a 1-yr period, the Poisson was found to be a good model of patrol car breakdowns in a city of approximately 175,000 population. Results of both chisquare and Kolmogorov-Smirnov tests are presented. Finally, implications of the Poisson model for maintenance facility staffing are discussed.</p></div>\",\"PeriodicalId\":101267,\"journal\":{\"name\":\"Urban Systems\",\"volume\":\"4 2\",\"pages\":\"Pages 167-173\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1979-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/0147-8001(79)90015-9\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Urban Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/0147800179900159\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Urban Systems","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/0147800179900159","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A generating process for police patrol car breakdowns: Implications for maintenance facility staffing
This paper examines the Poisson process, which has proven useful in several public sector analyses, as a model of a police patrol car breakdown process. On the basis of available patrol car breakdown data for a 1-yr period, the Poisson was found to be a good model of patrol car breakdowns in a city of approximately 175,000 population. Results of both chisquare and Kolmogorov-Smirnov tests are presented. Finally, implications of the Poisson model for maintenance facility staffing are discussed.
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