Growth Type and Functional Trajectories: An Empirical Study of Urban Expansion in Nanjing, China

Chen, Jianglong; Gao, Jinlong; Yuan, Feng

doi:10.1371/journal.pone.0148389

Cited by 21 publications

(14 citation statements)

References 48 publications

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“…In future research, panel data will be able to tackle the problem. Second, in this study, we put emphasis on how environmental pollution and self-rated health are two major problems, because in the process of China's urbanization development, individual health is exposed to environmental pollution [65]. We focused on the spatial distribution of individual health and environmental pollution.…”

Section: Discussionmentioning

confidence: 99%

Perceived Sustainable Urbanization Based on Geographically Hierarchical Data Structures in Nanjing, China

et al. 2019

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Concentrating on geographically hierarchical data structures and using large-scale satisfaction survey data in Nanjing, this study employs Bayesian spatial multilevel model (MLM) to evaluate Nanjing’s perceived sustainable urbanization. In this study, we consider the geographically hierarchical data structures and the city’s individual perceptions of sustainable urbanization to explore the effect of environment and self-rated health on perceived sustainable urbanization, controlling for individual sociodemographic attributes and household. Through clarifying the spatial dependence and heterogeneity, this paper provides a flexible framework for assessing sustainable urbanization and dealing with the geographical hierarchical data. In particular, by drawing on existing studies, our questionnaire is more representative of the overall characteristics of Nanjing’s population than census data, which can be helpful for understanding whether urbanization is sustainable from individual perspective and further for correcting practices. Based on a survey of 10,077 questionnaires, this paper finds the geographically hierarchical data structures have significantly influenced the evaluation of sustainable urbanization, and the Bayesian spatial MLM is an effective tool for evaluating China’s sustainable urbanization. In particular, this paper takes spatial effects into consideration and compares the geographically hierarchical data. Results show that spatial patterns significantly influence the assessment of sustainable urbanization, and perceived pollution, age, education level, and income are the four key factors influencing individual perceived sustainable urbanization.

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Section: Discussionmentioning

confidence: 99%

Perceived Sustainable Urbanization Based on Geographically Hierarchical Data Structures in Nanjing, China

et al. 2019

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“…Fourth, we employed the slope (SL) and elevation (EL) as physical characteristics of grids. It can be seen from Figure 7 that poor topographic and geological conditions are concentrated in the major mountains and their surrounding areas [13]. In terms of urban planning (UP), there are also considerable differences in the orientation of urban development among the three study periods with the same ecological protection (ECO) areas (Figure 8).…”

Section: Explanatory Variables and Statistical Modelsmentioning

confidence: 99%

“…However, macro policies need to be downscaled and implemented at micro geographical scales [13]. For instance, although the quota of farmland protection has been assigned by provincial governments, local governments still need to find places suitable for agriculture and protection [14].…”

Section: Introductionmentioning

confidence: 99%

Spatial Determinants of Urban Land Expansion in Globalizing Nanjing, China

et al. 2016

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This paper proposes a cost-benefit framework to address the role of parcel and neighborhood conditions, as well as government policies, and investigates the spatial determinants of urban land expansion in Nanjing, one of the sub-centers of the Yangtze River Delta (YRD). Using spatial regression models, we find the significance of the economy of scale, agglomeration, accessibility, and government policies in Nanjing's urban growth. In the earlier stage, urban expansion in Nanjing was mainly driven by the development of infrastructure. Since entering the 21st century, the emerging commercial and industrial sub-centers have become the major centers of growth, which has changed Nanjing's spatial structure from compact monocentric to a polycentric one. We also highlight the importance of government policies that have been strengthened by various national strategies, including the "New-type Urbanization" and "Beautiful China" strategies. Different from cities in the Pearl River Delta, Nanjing has a more significant top-down process in its development, which indicates that the municipal government of Nanjing is playing a more important role in urban growth.

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“…China entered a period of rapid urbanization from the 1990s (Chi et al, 2015); a large number of cities have expanded rapidly, with city sizes reaching the largest scale ever in human history (Wang et al, 2012;Zhao et al, 2012), and will continue to expand. Many scholars have analyzed urban land expansion, morphology evolution (Chen et al, 2016a), and the evolution of land use structure by examining expansion strength (Xu and Min, 2013), compactness (Yin et al, 2010), fractal dimension (Liu et al, 2016), shape index (Wang et al, 2015), gravity-center model (Maimaiti et al, 2017;Yang et al, 2018), landscape index (Quan et al, 2015;Triantakonstantis and Stathakis, 2015), equivalent fan analysis (Zhang et al, 2016), transfer matrix (Kumar and Tripathi, 2014) etc. from a two-dimensional perspective.…”

Section: Introductionmentioning

confidence: 99%

Multi-dimensional expansion of urban space through the lens of land use: The case study of Nanjing City, China

et al. 2019

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The study of multi-dimensional expansion of urban space (MEUS) addresses the laws of urban spatial expansion from all directions and angles. Using Nanjing as an example, this paper constructs multi-temporal, urban three-dimensional models based on RS and GIS technology and then conducts qualitative and quantitative analysis of MEUS using plot ratio change maps and MEUS quantitative index for built-up areas. Based especially on the concept of volume growth contribution rate, this paper analyzes the characteristics of MEUS in different stages. The results show that in 2000-2004, planar expansion played the main role, the internal potential development (IPD) intensity of the urban built-up areas was relatively large, and the volume growth contribution rate was low; in 2004-2008, planar expansion accelerated, and IPD slowed down; in 2008-2012, planar expansion slowed while IPD intensity increased; the contribution rates of volume growth of urban IPD for the three periods were 22.21%, 24.51% and 73.38%, respectively. This study expands the research perspective of urban spatial expansion, and the adopted methods are instructive and meaningful for MEUS research. In addition, the results of this study will deepen the understanding of MEUS laws and help improve scientific decision-making for urban planning and urban land use management.

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Growth Type and Functional Trajectories: An Empirical Study of Urban Expansion in Nanjing, China

Cited by 21 publications

References 48 publications

Perceived Sustainable Urbanization Based on Geographically Hierarchical Data Structures in Nanjing, China

Perceived Sustainable Urbanization Based on Geographically Hierarchical Data Structures in Nanjing, China

Spatial Determinants of Urban Land Expansion in Globalizing Nanjing, China

Multi-dimensional expansion of urban space through the lens of land use: The case study of Nanjing City, China

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