{"title":"小城市交通路线与调度的系统分析方法","authors":"John M. Gleason","doi":"10.1016/0147-8001(79)90014-7","DOIUrl":null,"url":null,"abstract":"<div><p>A computer model involving simulation is presented which can be used by small city mass transit decision-makers to determine benefits of alternative routing-scheduling systems. Given the results of an origin-destination survey, the model determines the number of trip demands which will be lost due to poor routing or poor scheduling, and the best travel pattern for the trip demands which can be serviced by the routing-scheduling system. The simulation portion of the model then simulates the operation of the buses on the routes, and the loading, unloading, and transfer of passengers in order to determine trip revenues, vehicle operating costs, and a variety of customer service measures.</p></div>","PeriodicalId":101267,"journal":{"name":"Urban Systems","volume":"4 2","pages":"Pages 159-166"},"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)90014-7","citationCount":"0","resultStr":"{\"title\":\"A systems analysis approach to transit routing and scheduling in a small city\",\"authors\":\"John M. Gleason\",\"doi\":\"10.1016/0147-8001(79)90014-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>A computer model involving simulation is presented which can be used by small city mass transit decision-makers to determine benefits of alternative routing-scheduling systems. Given the results of an origin-destination survey, the model determines the number of trip demands which will be lost due to poor routing or poor scheduling, and the best travel pattern for the trip demands which can be serviced by the routing-scheduling system. The simulation portion of the model then simulates the operation of the buses on the routes, and the loading, unloading, and transfer of passengers in order to determine trip revenues, vehicle operating costs, and a variety of customer service measures.</p></div>\",\"PeriodicalId\":101267,\"journal\":{\"name\":\"Urban Systems\",\"volume\":\"4 2\",\"pages\":\"Pages 159-166\"},\"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)90014-7\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Urban Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/0147800179900147\",\"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/0147800179900147","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A systems analysis approach to transit routing and scheduling in a small city
A computer model involving simulation is presented which can be used by small city mass transit decision-makers to determine benefits of alternative routing-scheduling systems. Given the results of an origin-destination survey, the model determines the number of trip demands which will be lost due to poor routing or poor scheduling, and the best travel pattern for the trip demands which can be serviced by the routing-scheduling system. The simulation portion of the model then simulates the operation of the buses on the routes, and the loading, unloading, and transfer of passengers in order to determine trip revenues, vehicle operating costs, and a variety of customer service measures.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
