{"title":"用模糊元胞自动机模型对斋浦尔城市扩张进行建模","authors":"P. Sisodia, R. Shekhawat, V. Tiwari","doi":"10.1504/IJSSS.2018.10016543","DOIUrl":null,"url":null,"abstract":"The unorganised, unplanned, uncontrolled, and unauthorised development has been termed as urban sprawl and often referring to as a complex pattern of transportation, social, economic, and land use development. The rapid increase in population and economic development are the primary influences of urban sprawl. Urban sprawl is the major problem of metropolitan areas all over the world especially developing countries. The impact of urban sprawl can be noted as pollution, traffic, loss of prime agricultural land, deforestation, congestion of places, and water pollution. In this paper, we have proposed a fuzzy-CA-Markov model for modelling urban sprawl. The factors which influence the urban sprawl is considered as fuzzy parameter like accessibility from local road, accessibility from main road, accessibility from major road, slop, altitude, and density. The future prediction of urban sprawl was measured through Markov's cellular automata model.","PeriodicalId":89681,"journal":{"name":"International journal of society systems science","volume":"10 1","pages":"285"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Modelling urban sprawl using fuzzy cellular automata model for the city of Jaipur\",\"authors\":\"P. Sisodia, R. Shekhawat, V. Tiwari\",\"doi\":\"10.1504/IJSSS.2018.10016543\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The unorganised, unplanned, uncontrolled, and unauthorised development has been termed as urban sprawl and often referring to as a complex pattern of transportation, social, economic, and land use development. The rapid increase in population and economic development are the primary influences of urban sprawl. Urban sprawl is the major problem of metropolitan areas all over the world especially developing countries. The impact of urban sprawl can be noted as pollution, traffic, loss of prime agricultural land, deforestation, congestion of places, and water pollution. In this paper, we have proposed a fuzzy-CA-Markov model for modelling urban sprawl. The factors which influence the urban sprawl is considered as fuzzy parameter like accessibility from local road, accessibility from main road, accessibility from major road, slop, altitude, and density. The future prediction of urban sprawl was measured through Markov's cellular automata model.\",\"PeriodicalId\":89681,\"journal\":{\"name\":\"International journal of society systems science\",\"volume\":\"10 1\",\"pages\":\"285\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International journal of society systems science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/IJSSS.2018.10016543\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of society systems science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJSSS.2018.10016543","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modelling urban sprawl using fuzzy cellular automata model for the city of Jaipur
The unorganised, unplanned, uncontrolled, and unauthorised development has been termed as urban sprawl and often referring to as a complex pattern of transportation, social, economic, and land use development. The rapid increase in population and economic development are the primary influences of urban sprawl. Urban sprawl is the major problem of metropolitan areas all over the world especially developing countries. The impact of urban sprawl can be noted as pollution, traffic, loss of prime agricultural land, deforestation, congestion of places, and water pollution. In this paper, we have proposed a fuzzy-CA-Markov model for modelling urban sprawl. The factors which influence the urban sprawl is considered as fuzzy parameter like accessibility from local road, accessibility from main road, accessibility from major road, slop, altitude, and density. The future prediction of urban sprawl was measured through Markov's cellular automata model.