Smart city oriented optimization of residential blocks on intensive urban sensing data based on fuzzy evaluation algorithm

Abstract

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.