Exploring the Correlation between Block Vitality and Block Environment Based on Multisource Big Data: Taking Wuhan City as an Example

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 qualit...

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Main Authors: Yunzi Yang, Yuanyuan Ma, Hongzan Jiao
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Land
Subjects:
Online Access:https://www.mdpi.com/2073-445X/10/9/984
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spelling doaj-210c6ebad5484a2e826320baea4f9b542021-09-26T00:33:36ZengMDPI AGLand2073-445X2021-09-011098498410.3390/land10090984Exploring the Correlation between Block Vitality and Block Environment Based on Multisource Big Data: Taking Wuhan City as an ExampleYunzi Yang0Yuanyuan Ma1Hongzan Jiao2Department of Urban Planning, School of Urban Design, Wuhan University, Wuhan 430072, ChinaDepartment of Urban Planning, School of Urban Design, Wuhan University, Wuhan 430072, ChinaDepartment of Urban Planning, School of Urban Design, Wuhan University, Wuhan 430072, ChinaBlock 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.https://www.mdpi.com/2073-445X/10/9/984block vitalitycellular signaling dataenvironmental perceptiondynamic featuresgeographically weighted regression
collection DOAJ
language English
format Article
sources DOAJ
author Yunzi Yang
Yuanyuan Ma
Hongzan Jiao
spellingShingle Yunzi Yang
Yuanyuan Ma
Hongzan Jiao
Exploring the Correlation between Block Vitality and Block Environment Based on Multisource Big Data: Taking Wuhan City as an Example
Land
block vitality
cellular signaling data
environmental perception
dynamic features
geographically weighted regression
author_facet Yunzi Yang
Yuanyuan Ma
Hongzan Jiao
author_sort Yunzi Yang
title Exploring the Correlation between Block Vitality and Block Environment Based on Multisource Big Data: Taking Wuhan City as an Example
title_short Exploring the Correlation between Block Vitality and Block Environment Based on Multisource Big Data: Taking Wuhan City as an Example
title_full Exploring the Correlation between Block Vitality and Block Environment Based on Multisource Big Data: Taking Wuhan City as an Example
title_fullStr Exploring the Correlation between Block Vitality and Block Environment Based on Multisource Big Data: Taking Wuhan City as an Example
title_full_unstemmed Exploring the Correlation between Block Vitality and Block Environment Based on Multisource Big Data: Taking Wuhan City as an Example
title_sort exploring the correlation between block vitality and block environment based on multisource big data: taking wuhan city as an example
publisher MDPI AG
series Land
issn 2073-445X
publishDate 2021-09-01
description 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.
topic block vitality
cellular signaling data
environmental perception
dynamic features
geographically weighted regression
url https://www.mdpi.com/2073-445X/10/9/984
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