Exploring the Influence of Urban Form on Urban Vibrancy in Shenzhen Based on Mobile Phone Data

Lingjun, Tang; Lin, Yu; Li, Sijia; Li, Sheng; Li, Jingyi; Ren, Fei; Wu, Chao

doi:10.3390/su10124565

Cited by 45 publications

(30 citation statements)

References 42 publications

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“…Chinese cities are now facing new opportunities for urban transformation and sustainable development. However, most urban vitality studies focus on overall city features across multiple cities or in a certain single megacity (Huang et al., 2019; Jin et al., 2017; Tang et al., 2018; Wu et al., 2018a). In comparison, intraurban vitality has gained little attention even though it is essential for fine-scale urban planning (Yue et al., 2019).…”

Section: Introductionmentioning

confidence: 99%

How can the urban landscape affect urban vitality at the street block level? A case study of 15 metropolises in China

Zhang¹,

Liu

et al. 2020

Environment and Planning B: Urban Analytics and City Science

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Urban vitality, as a metric, measures the attractiveness and competitiveness of a city and is a driver of development. As the physical and social space of human activities, the urban landscape has close connections with urban vitality according to classical theories. However, limited quantitative criteria for the urban landscape and gaps between macro urban planning and micro design create difficulties when constructing a vibrant city. In this study, we quantitatively examined the relationship between the urban landscape and urban vitality at the street block level using geospatial open data to discover where, how, and to what extent we could improve urban vitality, taking 15 Chinese metropolises as a case study. Results indicate that, among the three aspects of the urban landscape considered, the city plan pattern has the highest effect on stimulating vitality, followed by the land use and the patterns of building form. Specifically, the three-dimensional form of buildings has a greater effect than a two-dimensional form. In addition, convenient transportation, a compact block form, diverse buildings, mixed land use, and high buildings are the main characteristics of vibrant blocks. The results also show that the effects of the urban landscape have spatial variations and obvious diurnal discrepancies. Furthermore, over 20 and 33% of the blocks in these cities are identified as low-vitality blocks during the day and night, respectively, and are then categorized into six different types. The identification of the common characteristics of these low-vitality blocks can be taken as references for designing a vibrant urbanity.

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Section: Introductionmentioning

confidence: 99%

How can the urban landscape affect urban vitality at the street block level? A case study of 15 metropolises in China

Zhang¹,

Liu

et al. 2020

Environment and Planning B: Urban Analytics and City Science

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“…Initially, this article explored the relations that connect urban vitality and built environment in urban waterfronts from a global perspective. The global regression model is conducted by the OLS regression model, which serves as a commonplace and effective statistical model for research concerning urban vitality [33,66]. The OLS regression is expressed as thus:…”

Section: Global and Local Regression Modelsmentioning

confidence: 99%

How Did Built Environment Affect Urban Vitality in Urban Waterfronts? A Case Study in Nanjing Reach of Yangtze River

Fan

Jin

Luo

et al. 2021

IJGI

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The potential of urban waterfronts as vibrant urban spaces has become a focus of urban studies in recent years. However, few studies have examined the relationships between urban vitality and built environment characteristics in urban waterfronts. This study takes advantage of emerging urban big data and adopts hourly Baidu heat map (BHM) data as a proxy for portraying urban vitality along the Yangtze River in Nanjing. The impact of built environment on urban vitality in urban waterfronts is revealed with the ordinary least squares (OLS) and geographically weighted regression (GWR) models. The results show that (1) the distribution of urban vitality in urban waterfronts shows similar agglomeration characteristics on weekdays and weekends, and the identified vibrant cores tend to be the important city and town centers; (2) the building density has the strongest positive associations with urban vitality in urban waterfronts, while the normalized difference vegetation index (NDVI) is negative; (3) the effects of the built environment on urban vitality in urban waterfronts have significant spatial variations. Our findings can provide meaningful guidance and implications for vitality-oriented urban waterfronts planning and redevelopment.

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“…The research emphasis on urban public spaces has switched to the relationship between human behavior and the environment. Social media data have been applied by researchers to explore the urban vibrancy and the temporal characteristics of human behaviors [27,28]. The development of mobile technology provides several opportunities for the research on temporal characteristics of waterfronts and people's behavioral preferences in these places, thereby bridging information gaps in traditional surveys [29,30].…”

Section: Literature Reviewmentioning

confidence: 99%

Temporal Characteristics of Waterfronts in Wuhan City and People’s Behavioral Preferences Based on Social Media Data

Chen

2019

Sustainability

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The appeal and vibrancy of urban waterfronts are catalysts for urban progress and sustainable urban development. This study aims to thoroughly explore the temporal characteristics of waterfront vibrancy and explore people’s behavioral preferences for various types of waterfronts at various times. On the basis of social media data, this study uses the seasonal index analysis method to classify waterfronts. Then, the kernel density estimation was used to analyze the spatial structure of different types of waterfronts. Finally, temporally weighted regression was used to indicate people’s preferences for various types of waterfronts. In general, results show the different temporal characteristics of users in waterfronts at different times and their behavioral preferences for waterfronts as the reasons behind these preface characteristics. First, on weekdays, people tend to visit daily waterfronts close to residences, and people find it convenient to walk after 18:00 and engage in recreational activities dominated by consumption and exercise, which reach a peak at 22:00–24:00. Second, on weekends, people prefer the weekend waterfronts with complete entertainment facilities and cultural themes. The natural seasonal waterfronts with seasonal landscapes attract people in various seasons, such as spring and autumn, whereas the social seasonal waterfront may be more attractive during high seasons, especially in March and June, due to big water events or nearby colleges and universities. Therefore, the government should improve the facilities of various types of waterfronts to satisfy people’s preferences at different times and help in proposing targeted suggestions with reference to future city waterfront planning and space design, contributing to the waterfronts’ vitality improvement, urban features, and promotion of urban sustainable development.

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Exploring the Influence of Urban Form on Urban Vibrancy in Shenzhen Based on Mobile Phone Data

Cited by 45 publications

References 42 publications

How can the urban landscape affect urban vitality at the street block level? A case study of 15 metropolises in China

How can the urban landscape affect urban vitality at the street block level? A case study of 15 metropolises in China

How Did Built Environment Affect Urban Vitality in Urban Waterfronts? A Case Study in Nanjing Reach of Yangtze River

Temporal Characteristics of Waterfronts in Wuhan City and People’s Behavioral Preferences Based on Social Media Data

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