Abstract

Block is the basic unit for studying the urban activities of residents, and block vitality is the concrete expression of urban dynamics at the block level. The quality of the block’s residential environment is a crucial medium to satisfy the residents’ pursuit of high-quality life; good block quality is essential for fostering the block vitality and further enhancing the overall vitality of the city. This study used the distribution density of cellular signaling data to quantify block vitality and constructed a block environment index system covering four dimensions—block accessibility, block function, block development degree, and human perception of block environment—innovatively introducing the elements of block environment from the human perspective. Considering the variability of block vitality between workdays and weekends, and between downtown and suburban blocks, this study used a geographically weighted regression model to show the mechanism of the spatial and temporal influence of indicators on block vitality, as well as to suggest how to enhance block vitality at different times of the day based on the influence mechanism. This study was conducted in Wuhan, China. The findings suggest that block vitality exhibited significant spatial and temporal heterogeneity. A high-vitality block can be created by enhancing the block’s accessibility, increasing the degree of block construction, and enriching the functional density and mix of functions in the block. A pleasantly green environment with a moderate degree of openness exerted a significant impact on promoting human activity and enhancing block vitality. The creation of high-vitality blocks should also consider the differences in the impact of various elements on block vitality between weekend and workday. For example, amid the surge in travel demand for education venues on weekends, enhancing the accessibility of blocks can significantly increase the vitality of blocks on weekends. We can truly realize the people-oriented approach to build a livable and high-vitality city by adapting to local conditions and time.

Highlights

  • Human perception of the environment was introduced into the index system

  • geographically weighted regression models (GWR) was used to reflect the temporal and spatial impact mechanism of the indicator on the vitality of the block, and according to the impact mechanism, it contributed to making reasonable suggestions for improving block vitality

  • The following conclusions were drawn from this study: First, block vitality has significant spatial and temporal heterogeneity

Read more

Summary

Introduction

Jane Jacobs [1] first proposed the concept of urban vitality and used it to indicate the intensity of human activities in urban space Later studies used this concept primarily to measure the richness of people’s activities in the space and the perception of an excellent urban spatial environment. With the rapid advancement of multisource geospatial data, researchers have access to a large number of publicly available geotagged images [38] The viewpoint of these streetscape images can more intuitively reflect residents’ actual perceptions of their surroundings, providing the feasibility of introducing the perception of human eye vision into the influencing factors of block vitality on a large scale [39]. The remaining components of this study are as follows: Section 2 introduces the background of the study area, the source, and preprocessing of the study data; Section 3 introduces the research methods, including the construction of the index system, image segmentation method, and the GWR; Section 4 details the research results; Sections 5 and 6 discuss the research results and analyze the strengths and weaknesses of the study

Study Area
Basic Data
Cellular Signaling Data Preprocessing
Extraction and Preprocessing of Streetscape Images
POI Data Preprocessing
Block Vitality Quantification
Indicator System Construction
Spatial Entropy Calculation
Geographically Weighted Regression
Experiment and Result
Block Function
Block Development Intensity
Block Environment Perception
Distribution of Cellular Signaling Data
The Impact of Each Indicator on Block Vitality and Spatial Differentiation
The Impact of Each Indicator on Block Vitality Based on Workdays and Weekends
Conclusions and Discussion
Findings
Contributions and Limitations
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call