Mismatch of morphological and functional polycentricity in Chinese cities: An evidence from land development and functional linkage

Yue, Wenze; Wang, Tianyu; Liu, Yong; Zhang, Qun; Ye, Xinyue

doi:10.1016/j.landusepol.2019.104176

Cited by 50 publications

(16 citation statements)

References 48 publications

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“…Our results imply that morphological and functional polycentricity could be developed synchronously with an urban plan. It also noted that our finding is inconsistent with the work from Yue et al. (2019b), who found that morphological and functional polycentricity in Shanghai is mismatched.…”

Section: Discussioncontrasting

confidence: 99%

“…(2014, 2017) proposed a trip-based centrality index for understanding spatial organization within the metropolitan area, studying the numbers of people attracted to different locations, but also the diversity of activities that the people were engaged in. Yue et al. (2019b) determined that the degree of polycentricity depends on the degree of connectivity between locations, measured using trip inflow/outflow data.…”

Section: Relevant Literature Reviewsmentioning

confidence: 99%

“…(2017), the present measurement approaches for the degree of polycentricity are challenged by the highly diverse and intertwined ways in which people actually make use of urban space. Following this logic, Yue et al. (2019b) compared land development and functional linkage to better understand polycentric development in Shanghai.…”

Section: Relevant Literature Reviewsmentioning

confidence: 99%

See 2 more Smart Citations

Assessing polycentric urban development in Shanghai, China, with detailed passive mobile phone data

Xiao

Wang

Miao³

et al. 2021

Environment and Planning B: Urban Analytics and City Science

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Despite growing studies on the distinction between morphological and functional polycentricity, the present methods for identifying polycentricity often focus on the morphological dimension due to a lack of information about intra-urban functional flows, and are limited by the multifarious nature of people’s spatiotemporal interactions. This study proposes a new approach, examining the degree of polycentricity in Shanghai at the intra-urban level using passive mobile phone data. A series of polycentricity indicators are used and are benchmarked against previous studies. Notably, we found that people’s daily movements within a subcenter indicate that morphological polycentricity is also at play in Shanghai. We conclude that morphological and functional polycentricity may coexist at the intra-urban level, and that a mobile phone data approach can offer an alternative method to elucidate both the morphological and functional features of subcenters.

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Section: Discussioncontrasting

confidence: 99%

Section: Relevant Literature Reviewsmentioning

confidence: 99%

Section: Relevant Literature Reviewsmentioning

confidence: 99%

See 1 more Smart Citation

Assessing polycentric urban development in Shanghai, China, with detailed passive mobile phone data

Xiao

Wang

Miao³

et al. 2021

Environment and Planning B: Urban Analytics and City Science

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“…The dynamic characteristics of urban spatial structure reflect intra-city functional linkages, which are manifested as dense functional urban regions [50]. Existing studies have used a variety of flows to measure the functional connections, among which the traffic flow generated by human daily activities is the most frequent [51][52][53][54]. The traditional approach to obtaining travel data is that of a household travel survey, which is costly, error-prone, and not easily updated.…”

Section: Identification and Characteristics Of Urban Spatial Structurementioning

confidence: 99%

Revealing Characteristics of the Spatial Structure of Megacities at Multiple Scales with Jobs-Housing Big Data: A Case Study of Tianjin, China

Dong

Yan

2021

Land

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Urban spatial structure reflects the organization of urban land use and is closely related to the travel patterns of residents. The characteristics of urban spatial structure include both static and dynamic aspects. The static characteristics of urban spatial structure reflect the morphological features of space, and the dynamic characteristics of urban spatial structure reflect intra-city functional linkages. With the continuous agglomeration of population and industries; megacities have become the core spatial carriers leading China’s social and economic development; and their urban spatial structure has also been reconstructed. However; there is still a certain lack of understanding of the characteristics of the spatial structure of China’s megacities. This study aimed to reveal characteristics of the spatial structure of Chinese megacities at different scales using jobs-housing big data. To achieve this goal, spatial autocorrelation and a geographically weighted regression (GWR) model were applied to reveal static polycentricity, and community detection was used to reveal dynamic commuting communities. The distribution of jobs in urban space and jobs–housing balance levels in commuting communities were further analyzed. Experiments were conducted in Tianjin, China. We found that: (1) the static characteristics of the spatial structure of megacities presented the coexistence of polycentricity and a high degree of dispersion at macro- and meso-scales; (2) the dynamic characteristics of the spatial structure of megacities revealed two types of commuting communities at macro- and meso-scales and most commuting communities had a good jobs-housing balance. These findings can be referenced by urban managers and planners to formulate relevant policies for spatial distribution optimization of urban functions and transportation development at different spatial scales.

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“…Chinese cities have intrigued scholars by their unprecedented urbanization and dramatic urban transformation. Clearly, in China, there are distinct differences among developmental stages, institutions, and urban planning compared to their Western counterparts (Agarwal, 2015;Yue et al, 2019). The initial formation of urban employment centers in China began with the reform of the urban land market in the late 1970s.…”

Section: Understanding the Dynamics Of Employment Centers In Urban Chinamentioning

confidence: 99%

Understanding spatial and compositional dynamics of employment centers in urban China: Empirical evidence from Nanjing

et al. 2021

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Mismatch of morphological and functional polycentricity in Chinese cities: An evidence from land development and functional linkage

Cited by 50 publications

References 48 publications

Assessing polycentric urban development in Shanghai, China, with detailed passive mobile phone data

Assessing polycentric urban development in Shanghai, China, with detailed passive mobile phone data

Revealing Characteristics of the Spatial Structure of Megacities at Multiple Scales with Jobs-Housing Big Data: A Case Study of Tianjin, China

Understanding spatial and compositional dynamics of employment centers in urban China: Empirical evidence from Nanjing

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