Jianna Li, Bin Guo, Qiyue Gong, Yuan Sun, Haiyan Yao
{"title":"基于超效率 BCC-DEA 模型,从居民满意度角度评价老旧住宅区的更新效率","authors":"Jianna Li, Bin Guo, Qiyue Gong, Yuan Sun, Haiyan Yao","doi":"10.1007/s10901-024-10141-6","DOIUrl":null,"url":null,"abstract":"<p>Old residential neighborhood regeneration is a crucial strategy for sustainable urban development. Based on the government's massive investment in financial, human resources, and time, old residential neighborhood regeneration is being conducted comprehensively in China. However, how efficient regeneration is remains unclear, as does whether the residents satisfied with the results. Existing studies do not address these issues. Residents' satisfaction is the ultimate pursuit of livelihood projects such as regenerating old residential neighborhoods. Therefore, this study uses the superefficiency BCC-DEA method to construct an evaluation model for regeneration efficiency and then constructs an evaluation index system based on residents' satisfaction output through the grounded theory. Taking the old residential neighborhoods in Xi'an as a case study, we found that the regeneration efficiency level is relatively good. However, the overall scale efficiency is decreasing, and significant room for improvement and optimization in regeneration efficiency remains. There is generally considerable redundancy in funding, staffing, and time investment in current regeneration projects, as well as insufficient output of residents' satisfaction with the regeneration of neighborhood environments, sustainable management mechanisms, and integrated community services. In subsequent regeneration projects, the government should appropriately downsize capital and staffing inputs in accordance with the characteristics and demands of the neighborhood, strengthen project management for more efficient implementation, adopt more flexible regeneration strategies to meet residents' diverse needs, pay more attention to sustainable development after regeneration, and optimize the regeneration efficiency of these neighborhoods by increasing the resource utilization rate and enhancing residents' satisfaction.</p>","PeriodicalId":47558,"journal":{"name":"Journal of Housing and the Built Environment","volume":"44 1","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evaluation of the regeneration efficiency of old residential neighborhoods from the perspective of residents' satisfaction based on the superefficient BCC-DEA model\",\"authors\":\"Jianna Li, Bin Guo, Qiyue Gong, Yuan Sun, Haiyan Yao\",\"doi\":\"10.1007/s10901-024-10141-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Old residential neighborhood regeneration is a crucial strategy for sustainable urban development. Based on the government's massive investment in financial, human resources, and time, old residential neighborhood regeneration is being conducted comprehensively in China. However, how efficient regeneration is remains unclear, as does whether the residents satisfied with the results. Existing studies do not address these issues. Residents' satisfaction is the ultimate pursuit of livelihood projects such as regenerating old residential neighborhoods. Therefore, this study uses the superefficiency BCC-DEA method to construct an evaluation model for regeneration efficiency and then constructs an evaluation index system based on residents' satisfaction output through the grounded theory. Taking the old residential neighborhoods in Xi'an as a case study, we found that the regeneration efficiency level is relatively good. However, the overall scale efficiency is decreasing, and significant room for improvement and optimization in regeneration efficiency remains. There is generally considerable redundancy in funding, staffing, and time investment in current regeneration projects, as well as insufficient output of residents' satisfaction with the regeneration of neighborhood environments, sustainable management mechanisms, and integrated community services. In subsequent regeneration projects, the government should appropriately downsize capital and staffing inputs in accordance with the characteristics and demands of the neighborhood, strengthen project management for more efficient implementation, adopt more flexible regeneration strategies to meet residents' diverse needs, pay more attention to sustainable development after regeneration, and optimize the regeneration efficiency of these neighborhoods by increasing the resource utilization rate and enhancing residents' satisfaction.</p>\",\"PeriodicalId\":47558,\"journal\":{\"name\":\"Journal of Housing and the Built Environment\",\"volume\":\"44 1\",\"pages\":\"\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2024-07-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Housing and the Built Environment\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://doi.org/10.1007/s10901-024-10141-6\",\"RegionNum\":3,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENVIRONMENTAL STUDIES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Housing and the Built Environment","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1007/s10901-024-10141-6","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
Evaluation of the regeneration efficiency of old residential neighborhoods from the perspective of residents' satisfaction based on the superefficient BCC-DEA model
Old residential neighborhood regeneration is a crucial strategy for sustainable urban development. Based on the government's massive investment in financial, human resources, and time, old residential neighborhood regeneration is being conducted comprehensively in China. However, how efficient regeneration is remains unclear, as does whether the residents satisfied with the results. Existing studies do not address these issues. Residents' satisfaction is the ultimate pursuit of livelihood projects such as regenerating old residential neighborhoods. Therefore, this study uses the superefficiency BCC-DEA method to construct an evaluation model for regeneration efficiency and then constructs an evaluation index system based on residents' satisfaction output through the grounded theory. Taking the old residential neighborhoods in Xi'an as a case study, we found that the regeneration efficiency level is relatively good. However, the overall scale efficiency is decreasing, and significant room for improvement and optimization in regeneration efficiency remains. There is generally considerable redundancy in funding, staffing, and time investment in current regeneration projects, as well as insufficient output of residents' satisfaction with the regeneration of neighborhood environments, sustainable management mechanisms, and integrated community services. In subsequent regeneration projects, the government should appropriately downsize capital and staffing inputs in accordance with the characteristics and demands of the neighborhood, strengthen project management for more efficient implementation, adopt more flexible regeneration strategies to meet residents' diverse needs, pay more attention to sustainable development after regeneration, and optimize the regeneration efficiency of these neighborhoods by increasing the resource utilization rate and enhancing residents' satisfaction.
期刊介绍:
The Journal of Housing and the Built Environment is a scholarly journal presenting the results of scientific research and new developments in policy and practice to a diverse readership of specialists, practitioners and policy-makers. This refereed journal covers the fields of housing, spatial planning, building and urban development. The journal guarantees high scientific quality by a double blind review procedure. Next to that, the editorial board discusses each article as well. Leading scholars in the field of housing, spatial planning and urban development publish regularly in Journal of Housing and the Built Environment. The journal publishes articles from scientists all over the world, both Western and non-Western, providing a truly international platform for developments in both theory and practice in the fields of housing, spatial planning, building and urban development.
Journal of Housing and the Built Environment (HBE) has a wide scope and includes all topics dealing with people-environment relations. Topics concern social relations within the built environment as well as the physicals component of the built environment. As such the journal brings together social science and engineering. HBE is of interest for scientists like housing researchers, social geographers, (urban) planners and architects. Furthermore it presents a forum for practitioners to present their experiences in new developments on policy and practice. Because of its unique structure of research articles and policy and practice contributions, HBE provides a forum where science and practice can be confronted. Finally, each volume of HBE contains one special issue, in which recent developments on one particular topic are discussed in depth.
The aim of Journal of Housing and the Built Environment is to give international exposure to recent research and policy and practice developments on the built environment and thereby open up a forum wherein re searchers can exchange ideas and develop contacts. In this way HBE seeks to enhance the quality of research in the field and disseminate the results to a wider audience. Its scope is intended to interest scientists as well as policy-makers, both in government and in organizations dealing with housing and urban issues.