{"title":"控制性详细规划中的资源整合城市设计方法","authors":"Li Yuan","doi":"10.2991/ielss-19.2019.91","DOIUrl":null,"url":null,"abstract":"In order to promote the rationality of urban resource integration process, an urban resource integration method based on repeated game control scheme is proposed in the Article. Firstly, construct the optimal model of urban integration decision-making, quantify the operation level of dominant factor, consider the hardware and software strength for urban resource integration; secondly, a repeated game control scheme is proposed in the Article, in which the algorithm is based on Nash bargaining solution and the finite repeated game process, which could fully optimize the optimal model of urban integration decision-making; lastly, verify the effectiveness of proposed methods by simulation examples.","PeriodicalId":287078,"journal":{"name":"Proceedings of the 1st International Symposium on Innovation and Education, Law and Social Sciences (IELSS 2019)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Resource Integrated Urban Design Method in Regulatory Detailed Planning\",\"authors\":\"Li Yuan\",\"doi\":\"10.2991/ielss-19.2019.91\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to promote the rationality of urban resource integration process, an urban resource integration method based on repeated game control scheme is proposed in the Article. Firstly, construct the optimal model of urban integration decision-making, quantify the operation level of dominant factor, consider the hardware and software strength for urban resource integration; secondly, a repeated game control scheme is proposed in the Article, in which the algorithm is based on Nash bargaining solution and the finite repeated game process, which could fully optimize the optimal model of urban integration decision-making; lastly, verify the effectiveness of proposed methods by simulation examples.\",\"PeriodicalId\":287078,\"journal\":{\"name\":\"Proceedings of the 1st International Symposium on Innovation and Education, Law and Social Sciences (IELSS 2019)\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 1st International Symposium on Innovation and Education, Law and Social Sciences (IELSS 2019)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2991/ielss-19.2019.91\",\"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 1st International Symposium on Innovation and Education, Law and Social Sciences (IELSS 2019)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2991/ielss-19.2019.91","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Resource Integrated Urban Design Method in Regulatory Detailed Planning
In order to promote the rationality of urban resource integration process, an urban resource integration method based on repeated game control scheme is proposed in the Article. Firstly, construct the optimal model of urban integration decision-making, quantify the operation level of dominant factor, consider the hardware and software strength for urban resource integration; secondly, a repeated game control scheme is proposed in the Article, in which the algorithm is based on Nash bargaining solution and the finite repeated game process, which could fully optimize the optimal model of urban integration decision-making; lastly, verify the effectiveness of proposed methods by simulation examples.