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Smart city oriented optimization of residential blocks on intensive urban sensing data based on fuzzy evaluation algorithm
Journal of Ambient Intelligence and Humanized Computing Pub Date : 2020-05-19 , DOI: 10.1007/s12652-020-02104-w
Jizhou Zhu , Wenqian Liu , Yuan Liu , Di Wang , Shan Qu , Yaqiong Duan , Jie Yao

The unreasonable planning of land use in residential blocks affects the quality of the city and the comfort and convenience of urban residents. How to improve the vitality of the street from the source is an urgent problem to be solved in urban and rural planning disciplines. This paper selects 18 residential districts in Xi’an, and uses a multivariate linear stepwise regression to establish a relationship model between street vitality and intensive land use indices in three different periods of non-commuting, weekly commuting, and weekend. Using fuzzy evaluation techniques, the degree of land use intensification in different residential blocks was analyzed. Using the relational model and evaluation conclusions, the appropriate range of street vitality in residential blocks was determined, and the constructed model was used to obtain the suitable index range for intensive land use under street vitality. The results show that the street vitality and building density, the proportion of commercial space along the street and the red line width of the street are most affected during the non-commuting period during the week. The street vitality during the commute period is most closely related to the building density, building mix and street network density. Street dynamics are most closely related to building density, building mix, and street red line width during weekends. The conclusions of the study provide theoretical support and data support for the optimization and transformation of land use in residential blocks, and ultimately aim to stimulate street vitality and promote the realization of intensive land use in residential blocks.



中文翻译:

基于模糊评估算法的集约化城市感知数据智能城市居住区优化

住宅区土地使用的不合理规划会影响城市的质量以及城市居民的舒适和便利。如何从源头提高街道的活力是城乡规划学科亟待解决的问题。本文选择了西安的18个居住区,并采用多元线性逐步回归建立了三个不同的非通勤,每周通勤和周末时段的街道活力与集约化土地利用指数之间的关系模型。使用模糊评价技术,分析了不同居民区的土地集约程度。使用相关模型和评估结论,确定了住宅区街道活力的适当范围,并利用所建立的模型获得了街道活力条件下集约利用土地的适宜指标范围。结果表明,在本周的非通勤期间,街道的活力和建筑物密度,沿街的商业空间比例以及街道的红线宽度受到的影响最大。通勤期间的街道活力与建筑物密度,建筑物结构和街道网络密度密切相关。在周末,街道动态与建筑物密度,建筑物结构和街道红线宽度最密切相关。研究结论为住宅区土地利用的优化和转化提供了理论支持和数据支持,

更新日期:2020-05-19
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