A Novel Method for Predicting Urban Residential Quality Distribution Based on Multi-Interest Consideration
Simulating and predicting urban patterns enables evidence-based decision-making for urban planners. Given limited resources, understanding how to improve urban residential quality and rationally plan the distribution of different quality levels warrants further study. Using cellular automata (CA) an...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-01-01
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| Series: | Buildings |
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| Online Access: | https://www.mdpi.com/2075-5309/15/2/192 |
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| author | Jiawen Ren Xin Zhou Jingjing An Xing Shi Xing Jin Tianzhen Hong Da Yan |
| author_facet | Jiawen Ren Xin Zhou Jingjing An Xing Shi Xing Jin Tianzhen Hong Da Yan |
| author_sort | Jiawen Ren |
| collection | DOAJ |
| description | Simulating and predicting urban patterns enables evidence-based decision-making for urban planners. Given limited resources, understanding how to improve urban residential quality and rationally plan the distribution of different quality levels warrants further study. Using cellular automata (CA) and agent-based modules, this study proposes a multi-stakeholder residential quality distribution model to analyze the future quality distribution of residential buildings under different scenarios. The proposed model comprises two modules: a CA module predicting an urban functional layout model and an agent-based module predicting residential quality distribution. The CA module develops the future functional layout of the city, upon which the multiple interests of the government, developers, and residents are taken as constraints by the agent-based module to predict residential quality distribution. The proposed model was applied as a case study to Guanxian County in Shandong Province, China. Three scenario analyses were conducted: a free development scenario, a government macro-regulation scenario, and a scenario with an adjusted preference value for residential quality. The results show that the residential quality distribution model predictions make it possible to align residential quality with residents’ needs in different scenarios; hence, unreasonable distribution characteristics can be explored to develop effective improvement measures. |
| format | Article |
| id | doaj-art-c0a69ea0fa184015881b7216c4500f97 |
| institution | Kabale University |
| issn | 2075-5309 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Buildings |
| spelling | doaj-art-c0a69ea0fa184015881b7216c4500f972025-01-24T13:26:07ZengMDPI AGBuildings2075-53092025-01-0115219210.3390/buildings15020192A Novel Method for Predicting Urban Residential Quality Distribution Based on Multi-Interest ConsiderationJiawen Ren0Xin Zhou1Jingjing An2Xing Shi3Xing Jin4Tianzhen Hong5Da Yan6College of Architecture and Urban Planning, Tongji University, Shanghai 200092, ChinaSchool of Architecture, Southeast University, Nanjing 210096, ChinaSchool of Environment and Energy Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100084, ChinaCollege of Architecture and Urban Planning, Tongji University, Shanghai 200092, ChinaSchool of Architecture, Southeast University, Nanjing 210096, ChinaLawrence Berkeley National Laboratory, Building Technology and Urban Systems Division, Berkeley, CA 94589, USABuilding Energy Research Center, School of Architecture, Tsinghua University, Beijing 100084, ChinaSimulating and predicting urban patterns enables evidence-based decision-making for urban planners. Given limited resources, understanding how to improve urban residential quality and rationally plan the distribution of different quality levels warrants further study. Using cellular automata (CA) and agent-based modules, this study proposes a multi-stakeholder residential quality distribution model to analyze the future quality distribution of residential buildings under different scenarios. The proposed model comprises two modules: a CA module predicting an urban functional layout model and an agent-based module predicting residential quality distribution. The CA module develops the future functional layout of the city, upon which the multiple interests of the government, developers, and residents are taken as constraints by the agent-based module to predict residential quality distribution. The proposed model was applied as a case study to Guanxian County in Shandong Province, China. Three scenario analyses were conducted: a free development scenario, a government macro-regulation scenario, and a scenario with an adjusted preference value for residential quality. The results show that the residential quality distribution model predictions make it possible to align residential quality with residents’ needs in different scenarios; hence, unreasonable distribution characteristics can be explored to develop effective improvement measures.https://www.mdpi.com/2075-5309/15/2/192residential quality distributionmulti-interest considerationCA modelagent-based modelscenario analysis |
| spellingShingle | Jiawen Ren Xin Zhou Jingjing An Xing Shi Xing Jin Tianzhen Hong Da Yan A Novel Method for Predicting Urban Residential Quality Distribution Based on Multi-Interest Consideration Buildings residential quality distribution multi-interest consideration CA model agent-based model scenario analysis |
| title | A Novel Method for Predicting Urban Residential Quality Distribution Based on Multi-Interest Consideration |
| title_full | A Novel Method for Predicting Urban Residential Quality Distribution Based on Multi-Interest Consideration |
| title_fullStr | A Novel Method for Predicting Urban Residential Quality Distribution Based on Multi-Interest Consideration |
| title_full_unstemmed | A Novel Method for Predicting Urban Residential Quality Distribution Based on Multi-Interest Consideration |
| title_short | A Novel Method for Predicting Urban Residential Quality Distribution Based on Multi-Interest Consideration |
| title_sort | novel method for predicting urban residential quality distribution based on multi interest consideration |
| topic | residential quality distribution multi-interest consideration CA model agent-based model scenario analysis |
| url | https://www.mdpi.com/2075-5309/15/2/192 |
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