Literature DB >> 30366337

Reconsideration of the methodology for estimation of land population carrying capacity in Shanghai metropolis.

Yishao Shi1, Shouzheng Shi2, Hefeng Wang3.   

Abstract

How to estimate the urban land carrying capacity (ULCC)? Based on our previous research, this paper made improvements in two aspects: One is to subdivide land use types from four subspaces to seven subspaces (i.e. urban construction, industrial development, agricultural production, rural living, green ecological, other ecological and other subspaces), so as to distinguish more detailed the urban functional and spatial heterogeneities; the other is to reconstructing evaluation index system and estimate both maximum and appropriate population carrying capacities. The results demonstrate as follows: ① There is a significant difference between the population capacities in different types of subspaces. The urban construction and industrial development subspaces are the main carrier of population and economy. The agricultural production and rural living subspaces have low population capacities. The ecological protection and other subspaces have only a very low share of load. ② The appropriate and maximum population capacities of Shanghai metropolis are estimated to be approximately 20-23 million persons and 27-30 million persons, respectively, in 2009. There were 22.1028 million permanent residents of Shanghai in 2009, approaching the limit of the appropriate population capacity but lower than the limit of the maximum population capacity. ③ The methodology for estimation of maximum and appropriate ULCC in this paper not only gives the quantitative range, but also can provide the basis for growth control of urban population.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Appropriate population capacity; Maximum population capacity; Shanghai metropolis; Urban functional heterogeneity; Urban land carrying capacity (ULCC); Urban spatial heterogeneity

Year:  2018        PMID: 30366337     DOI: 10.1016/j.scitotenv.2018.10.210

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  3 in total

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Authors:  Xiaotong Xie; Xiaoshun Li; Weikang He
Journal:  Int J Environ Res Public Health       Date:  2020-02-01       Impact factor: 3.390

2.  Development of a comprehensive assessment model for coral reef island carrying capacity(CORE-CC).

Authors:  Ming Chen; Fenzhen Su; Fei Cheng; Yu Zhang; Xuege Wang
Journal:  Sci Rep       Date:  2021-02-16       Impact factor: 4.379

3.  Estimation and Potential Analysis of Land Population Carrying Capacity in Shanghai Metropolis.

Authors:  Hefeng Wang; Yuan Cao; Xiaohu Wu; Ao Zhao; Yi Xie
Journal:  Int J Environ Res Public Health       Date:  2022-07-06       Impact factor: 4.614

  3 in total

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