K. Tomita, N. Hashimoto, M. Yokozuka, O. Matsumoto
{"title":"站点位置和容量对个人出行共享的影响","authors":"K. Tomita, N. Hashimoto, M. Yokozuka, O. Matsumoto","doi":"10.1109/AIMS.2015.65","DOIUrl":null,"url":null,"abstract":"In this study, we consider the sharing of standing-type personal mobility devices. Such devices have various advantages as a means of transportation, but their cost makes sharing more attractive than owning. Sharing personal mobility devices is expected to have social influences such as a modal shift, however, this is not yet apparent. Consideration of the effects based on a multi-agent simulation is useful, and in a previous study, we showed the preliminary results of such simulation. In this study, we extend the simulation and investigate the effects of the location and capacity of personal mobility sharing stations. The results suggest that a location change largely affects the traveling distance. Such a simulation will provide a basis for the future demand prediction and planning of personal mobility sharing.","PeriodicalId":121874,"journal":{"name":"2015 3rd International Conference on Artificial Intelligence, Modelling and Simulation (AIMS)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Effects of Station Location and Capacity for Personal Mobility Sharing\",\"authors\":\"K. Tomita, N. Hashimoto, M. Yokozuka, O. Matsumoto\",\"doi\":\"10.1109/AIMS.2015.65\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this study, we consider the sharing of standing-type personal mobility devices. Such devices have various advantages as a means of transportation, but their cost makes sharing more attractive than owning. Sharing personal mobility devices is expected to have social influences such as a modal shift, however, this is not yet apparent. Consideration of the effects based on a multi-agent simulation is useful, and in a previous study, we showed the preliminary results of such simulation. In this study, we extend the simulation and investigate the effects of the location and capacity of personal mobility sharing stations. The results suggest that a location change largely affects the traveling distance. Such a simulation will provide a basis for the future demand prediction and planning of personal mobility sharing.\",\"PeriodicalId\":121874,\"journal\":{\"name\":\"2015 3rd International Conference on Artificial Intelligence, Modelling and Simulation (AIMS)\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 3rd International Conference on Artificial Intelligence, Modelling and Simulation (AIMS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AIMS.2015.65\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 3rd International Conference on Artificial Intelligence, Modelling and Simulation (AIMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AIMS.2015.65","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Effects of Station Location and Capacity for Personal Mobility Sharing
In this study, we consider the sharing of standing-type personal mobility devices. Such devices have various advantages as a means of transportation, but their cost makes sharing more attractive than owning. Sharing personal mobility devices is expected to have social influences such as a modal shift, however, this is not yet apparent. Consideration of the effects based on a multi-agent simulation is useful, and in a previous study, we showed the preliminary results of such simulation. In this study, we extend the simulation and investigate the effects of the location and capacity of personal mobility sharing stations. The results suggest that a location change largely affects the traveling distance. Such a simulation will provide a basis for the future demand prediction and planning of personal mobility sharing.