Spatial Explicit Assessment of Urban Vitality Using Multi-Source Data: A Case of Shanghai, China

Yue, Wenze; Chen, Yang; Zhang, Qun; Liu, Yong

doi:10.3390/su11030638

Cited by 86 publications

(47 citation statements)

References 40 publications

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“…Social communication activities refer to a series of fixed or continuous social activities in which the static and slow-moving people participate in the streets' public spaces. The more intensive the social communication activities are, the more vital the streets [1,10,20,[23][24][25]. The number of people refers to those who participate in continuous street activities and social activities of groups in the streets.…”

Section: (2) Recent Researchmentioning

confidence: 99%

Influence of Built Environment on Street Vitality: A Case Study of West Nanjing Road in Shanghai Based on Mobile Location Data

Niu

Ли

2021

Sustainability

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A successful built environment is assumed to encourage street vitality in the time and space dimensions. The availability of mobile location data has made it possible to measure street vitality from a large-scale and multiperiod perspective. We used the mobile location data recorded in West Nanjing Road and the surrounding streets in Shanghai as a proxy for street activity, and introduced intensity and instability as indicators of street vitality to test whether there is still a correlation between street vitality and built environment in high-density cities, and whether there are applicable conditions. The results show that for spatial units with higher intensity, the street activities tend to be more unstable. It is more effective to promote street vitality by increasing the diversity of commercial formats. For the streets in high-intensity areas, increasing the mix degree of building functions and the development intensity of the surrounding blocks may not necessarily enhance the street vitality. The design of the external spaces is always an effective measure to maintain continuous vitality. Subway stations play a significant role in promoting street vitality.

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Section: (2) Recent Researchmentioning

confidence: 99%

Influence of Built Environment on Street Vitality: A Case Study of West Nanjing Road in Shanghai Based on Mobile Location Data

Niu

Ли

2021

Sustainability

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“…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). Many low-vibrancy areas remain inside cities, even in metropolises, because of rapid construction, poverty, incomplete infrastructure, and other reasons.…”

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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“…The emergence of big data has provided us with an opportunity to study the dynamic distribution of populations, and it is available to measure the spatial and temporal distribution patterns of urban vitality quantitatively [7][8][9]. Compared to traditional questionnaire data and residents' travel survey data [10][11][12], urban vitality analysis based on big data greatly saves time and labor costs and has a qualitative leap in sample size.…”

Section: Introductionmentioning

confidence: 99%

Urban Vitality Area Identification and Pattern Analysis from the Perspective of Time and Space Fusion

2019

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Urban vitality provides an important basis for evaluating urban development and spatial balance. In the era of big data, the quantitative analysis of urban vitality has become a research hotspot in the field of urban sustainability and planning research. However, time variation characteristics are often neglected, which leads to one-sidedness in the pattern analysis of urban vitality. In this paper, a method for extracting vitality areas and integrating spatiotemporal features clustering is proposed. The method is used to divide urban space into multiple vitality areas scientifically. The spatial and temporal distribution patterns of urban vitality areas are found, and the driving factors of various vitality patterns are analyzed by combining points of interest (POI)-based land use characteristics. To illustrate this method, this paper takes Nanjing city as an example. One week's worth of mobile phone data indicated that Nanjing has 10 and 8 vitality areas on weekdays and weekends, respectively. The spatial and temporal distribution patterns of the vitality areas and their correlation with land use were analyzed, which proved that POI density and entropy have strong correlations with urban vitality.

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Spatial Explicit Assessment of Urban Vitality Using Multi-Source Data: A Case of Shanghai, China

Cited by 86 publications

References 40 publications

Influence of Built Environment on Street Vitality: A Case Study of West Nanjing Road in Shanghai Based on Mobile Location Data

Influence of Built Environment on Street Vitality: A Case Study of West Nanjing Road in Shanghai Based on Mobile Location Data

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

Urban Vitality Area Identification and Pattern Analysis from the Perspective of Time and Space Fusion

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