Evaluation method of urban land population carrying capacity based on GIS—A case of Shanghai, China

Shi, Yishao; Wang, Hefeng; Yin, Changying

doi:10.1016/j.compenvurbsys.2013.02.002

Cited by 88 publications

(40 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…By integrating Geographic Information System e.g. GIS technique and land use classification method, Shi, Wang, and Yin (2013) developed a new analytical model for static UCC assessment.…”

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Sustainable urban development: A review on urban carrying capacity assessment

Wei

Huang

Lam

et al. 2015

Habitat International

171

View full text Add to dashboard Cite

“…By integrating Geographic Information System e.g. GIS technique and land use classification method, Shi, Wang, and Yin (2013) developed a new analytical model for static UCC assessment.…”

Section: Literature Reviewmentioning

confidence: 99%

“…(Lane, 2010). However, existing UCC research still lacks a strong theoretical basis and reliable estimating methods (Shi et al, 2013). There are several numerical analysis techniques for capacity assessment, which are relevant for assessing carrying capacity at the urban level.…”

Section: Ucc Assessment Modelsmentioning

confidence: 99%

Sustainable urban development: A review on urban carrying capacity assessment

Wei

Huang

Lam

et al. 2015

Habitat International

171

View full text Add to dashboard Cite

“…Fourth, GIS techniques have been widely recognized as a powerful tool for assisting urban planners to evaluate urban development performance accurately [6]. The use of spatial analysis techniques in urban planning and management are superior in several aspects, such as "scientificity, intuition, and management" [11] (p. 28). From the perspective of UCC, this study has identified a number of indicators and criteria to enable urban planners and policymakers monitor and manage urban development more efficiently.…”

Section: Policy Recommendations and Conclusionmentioning

confidence: 99%

“…As argued by Onishi (1994) [7] and Saveriades (2000) [8], if the urban population and human activities expand infinitely and exceed the "limit of urban capacity", local urbanites would no longer perceive prosperity, but be troubled by the overall deteriorations in social-economic and ecological aspects. The immediate cause for these problems is the overdevelopment or overconcentration of population and socio-economic activities in urban areas, which has greatly exceeded the inherent UCC of cities [9][10][11]. The issue of excessively overladen UCC has spawned various city typologies across the world.…”

Section: Introductionmentioning

confidence: 99%

Using Urban-Carrying Capacity as a Benchmark for Sustainable Urban Development: An Empirical Study of Beijing

et al. 2015

View full text Add to dashboard Cite

Sustainable urban development has been receiving growing concerns from both city managers and urban residents across the world. As a yardstick of sustainability, urban carrying capacity (UCC) is an important conceptual underpinning that guides local governments in promoting sustainable urban development. However, existing studies still lack consensus not only on the theoretical aspects, but also on the methodological issues for UCC monitoring and evaluation. A knowledge gap exists, which this paper fills. This study aims to develop a practical UCC assessment framework to guide urban development towards achieving sustainability. The quantitative-based assessment framework provides a set of measurable indicators and benchmarks for city managers to conduct routine monitoring on progress toward urban sustainability, and helps identify deficient areas, which urgently need resource allocation to improve UCC. Focusing on a case study of Beijing, this study demonstrates that the framework is useful in promoting urban sustainability. This framework provides rich implications for other city prototypes in China as the nation marches into the next phase of development.

show abstract

“…Subsequently, many studies have been conducted to analyze RECC [10][11][12]. However, despite the fact that some researchers have used geographic information system (GIS) to analyze carrying capacity [13][14][15], most studies have used only statistical data to assess RECC, and a few have utilized remote sensing (RS) data.…”

mentioning

confidence: 99%