{"title":"基于TRA-SD的共享单车对城市交通系统影响的建模与仿真","authors":"Xu Zhang, Yi Ding, Yaqin Cao","doi":"10.1145/3357292.3357323","DOIUrl":null,"url":null,"abstract":"This paper intends to build a coupling model of urban green traffic emission reduction considering public's green travel behaviour based on theory of planned behaviour. Then a SD (system dynamics) model is constructed based on causal analysis and feedback loop structure considering people's travel behaviour choice and the personal factors. The corresponding weight of personal factors was calculated by BP neural network. The SD model was tested on Vensim-PLE software with the data from Shanghai, China. The results show that Shanghai should maintain the promotion of new energy vehicles and actively introduce new green means of transportation to improve the sustainability of the transportation system.","PeriodicalId":115864,"journal":{"name":"Proceedings of the 2nd International Conference on Information Management and Management Sciences","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"TRA-SD based Modelling and Simulation to Assess the Impact of Shared Bicycle on Urban Traffic System\",\"authors\":\"Xu Zhang, Yi Ding, Yaqin Cao\",\"doi\":\"10.1145/3357292.3357323\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper intends to build a coupling model of urban green traffic emission reduction considering public's green travel behaviour based on theory of planned behaviour. Then a SD (system dynamics) model is constructed based on causal analysis and feedback loop structure considering people's travel behaviour choice and the personal factors. The corresponding weight of personal factors was calculated by BP neural network. The SD model was tested on Vensim-PLE software with the data from Shanghai, China. The results show that Shanghai should maintain the promotion of new energy vehicles and actively introduce new green means of transportation to improve the sustainability of the transportation system.\",\"PeriodicalId\":115864,\"journal\":{\"name\":\"Proceedings of the 2nd International Conference on Information Management and Management Sciences\",\"volume\":\"43 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-08-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2nd International Conference on Information Management and Management Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3357292.3357323\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2nd International Conference on Information Management and Management Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3357292.3357323","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
TRA-SD based Modelling and Simulation to Assess the Impact of Shared Bicycle on Urban Traffic System
This paper intends to build a coupling model of urban green traffic emission reduction considering public's green travel behaviour based on theory of planned behaviour. Then a SD (system dynamics) model is constructed based on causal analysis and feedback loop structure considering people's travel behaviour choice and the personal factors. The corresponding weight of personal factors was calculated by BP neural network. The SD model was tested on Vensim-PLE software with the data from Shanghai, China. The results show that Shanghai should maintain the promotion of new energy vehicles and actively introduce new green means of transportation to improve the sustainability of the transportation system.
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