Paper Infomation
A GIS-based Approach to Multi-source Data Siting Planning for Affordable Rental Housing — Take Tianfu New District in Sichuan Province as an Example
Full Text(PDF, 1812KB)
Author: Mingqi Guo, Hailing Li
Abstract: This study examines the suitability of affordable rental housing site selection in Tianfu New District, Sichuan Province. A comprehensive evaluation index system is constructed, incorporating 13 factors derived from two primary sources: the actual needs of target population groups and the new district's development plans. The research employs the Best-Worst Method (BWM) to determine index weights and establishes a mathematical evaluation model. This methodological approach enables a rigorous assessment of potential sites for affordable rental housing, considering both socioeconomic factors and urban planning objectives. Based on GIS, a single factor quantitative analysis was carried out to obtain each grid layer, and each layer was weighted superimposed to obtain the suitability evaluation map of affordable rental housing location in Tianfu New District. According to GIS natural breakpoint classification method, the whole area of Tianfu New District is divided into four levels: the most suitable area, the general suitable area, the less suitable area and the unsuitable area, covering an area of 191.59km2, 363.76km2, 484.95km2and 517.75km2, respectively. The most suitable area is mainly distributed in Huayang street, Longquan Street, Xihangang street, Dongsheng street and Xinglong Town, while the general suitable area is predominantly distributed surrounding the most suitable area.
Keywords: GIS Spatial Analysis, BWM, Multi-source Data, Rental Housing
References:
[1] 《国务院办公厅关于加快发展保障性租赁住房的意见》(国办发〔2021〕22号).
[2] 《国务院办公厅关于规划建设保障性住房的指导意见》(国办发〔2023〕14号).
[3] 中华人民共和国中央政府.中华人民共和国国民经济和社会发展第十四个五年规划和2035年远景目标纲要[Z].[EB/OL]; https://www.gov.cn/xinwen/2021-03/13/content_5592681.htm. 2021.
[4] 张朝微.保障性住房选址问题分析及选址建议[J].科技视界,2016,(20):140-141.
[5] 李紫薇,高举.居民福利视角下保障性租赁住房区位选址研究——基于陕西省西安市的实证分析[J].改革与开放,2022,(03):41-52.
[6] 张吉康,杨枫,张筱林.基于多源数据的深圳市保障性住房选址适宜性评价及布局策略研究[J].特区经济,2019,(06):18-23.
[7] 方永恒,聂鸿雁.租购差异视角下保障性住房福利效应测度研究[J].青海社会科学，2019(1):132-141.
[8] 国家统计局.第七次全国人口普查公报(第七号)[EB/OL].(2021-05-11).http://www.stats.gov.cn/tjsj/tjgb/rk‐ pcgb/qgrkpcgb/202106/t20210628_1818826.html.
[9] Sumila Gulyani,Ellen M Bassett. The Living Conditions Diamond: An Analytical and Theoretical Framework for Understanding Slums[J]. SAGE Publications,2010,42(9).
[10] Yulia D，Yen BTH，Matthew B.The effect of transport cost on housing affordability:Experiences from the Bandung Metropolitan Area，Indonesia[J].Land Use Policy，2018，79:507-519.
[11] 虞睿.基于空间失配理论的保障性租赁住房选址布局与实施路径研究——以宁波市镇海区为例[C]//中国城市规划学会.人民城市,规划赋能——2023中国城市规划年会论文集(19住房与社区规划).宁波市镇海规划勘测设计研究院,2023:7.
[12] 田莉,夏菁.国际大都市租赁住房发展的模式与启示——基于15个国际大都市的分析[J].国际城市规划,2020,35(06):1-7.
[13] 诸德律,张建坤,王效容.基于GIS与MAS的保障房居住空间分异影响评价指标和方法[J].现代城市研究,2014,(05):22-26.
[14] REZAEI J.Best-worst multi- criteria decision-making method[J].Omega,2015,53:49-57.
[15] REZAEI J.Best-worst multi-criteria decision making method:Some properties and a linear model[J]. Omega,2016,64:126-130.
[16] 杨欣晨,孙术发,孙美欧等.内蒙古大兴安岭北部原始林区防火瞭望塔选址研究[J].消防科学与术,2023,42(11):1572-1577.
[17] 任海洋.基于GIS的南京市医疗资源空间配置合理性评价模型研究[D].南京邮电大学,2022.
[18] 卢丽娜.基于TOD与生活圈耦合的居住型轨道交通站区公共服务设施配置优化研究[D].北京建筑大学,2023.
[19] 诸德律,张建坤,王效容.基于GIS与MAS的保障房居住空间分异影响评价指标和方法[J].现代城市研究,2014,(05):22-26.
[20] 付恒阳,李小燕.陕南移民安置区选址空间适宜性评价——以勉县为例[J].中国农业资源与区划,2019,40(04):112-121.