Modeling the environmental impacts of urban land use and land cover change—a study in Merseyside, UK

Pauleit, Stephan; Ennos, Roland; Golding, Yvonne

doi:10.1016/s0169-2046(04)00083-0

Cited by 361 publications

(167 citation statements)

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“…The finding that green space coverage in China's built-up areas experienced a steady increase in the last two decades is completely opposite to that of some other reports, which stated that rapid urbanization had led to a reduction in green space (McDonald et al, 2010;Pauleit et al, 2005). This contradiction may be partly due to different patterns of urban expansion in developed and developing countries.…”

Section: Discussionmentioning

confidence: 58%

“…level of economic development. In contrast, the reduction found in the two studies referenced above was demonstrated to be caused by reuse and occupation of green space and population growth, and infill development whereby gardens were built over was a significant contributing factor (Pauleit et al, 2005). Urbanization changes land-use patterns, resulting in the occupation of green space (Kong and Nakagoshi, 2006), and the amount of open space loss is strongly correlated with changes in population, with cities with a greater increase in population losing more open space (McDonald et al, 2010).…”

Section: Discussionmentioning

confidence: 90%

“…In the case of Europe, the proportion of green space increased with city area, while mildly declining with population density . Infill development during which gardens were built over was found to be a major cause of green space loss (Pauleit et al, 2005). Moreover, the effects of urbanization on green space may become increasingly intensive.…”

Section: Introductionmentioning

confidence: 99%

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Temporal trend of green space coverage in China and its relationship with urbanization over the last two decades

Zhao

Chen

Jiang

et al. 2013

Science of The Total Environment

192

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► The green space coverage in Chinese cities increased steadily from 1991 to 2009. ► Cities in the same region exhibited long-term similar trends of development. ► Population, land area and GDP significantly affected green space coverage. ► Per capita GDP had the highest independent contribution to green space coverage. ► A linear model to predict variance in green space was constructed. a b s t r a c t a r t i c l e i n f o Irrespective of which side is taken in the densification-sprawl debate, insights into the relationship between urban green space coverage and urbanization have been recognized as essential for guiding sustainable urban development. However, knowledge of the relationships between socio-economic variables of urbanization and long-term green space change is still limited. In this paper, using simple regression, hierarchical partitioning and multi-regression, the temporal trend in green space coverage and its relationship with urbanization were investigated using data from 286 cities between 1989 and 2009, covering all provinces in mainland China with the exception of Tibet. We found that: [1] average green space coverage of cities investigated increased steadily from 17.0% in 1989 to 37.3% in 2009; [2] cities with higher recent green space coverage also had relatively higher green space coverage historically; [3] cities in the same region exhibited similar long-term trends in green space coverage; [4] eight of the nine variables characterizing urbanization showed a significant positive linear relationship with green space coverage, with 'per capita GDP' having the highest independent contribution (24.2%);[5] among the climatic and geographic factors investigated, only mean elevation showed a significant effect; and [6] using the seven largest contributing individual factors, a linear model to predict variance in green space coverage was constructed. Here, we demonstrated that green space coverage in built-up areas tended to reflect the effects of urbanization rather than those of climatic or geographic factors. Quantification of the urbanization effects and the characteristics of green space development in China may provide a valuable reference for research into the processes of urban sprawl and its relationship with green space change.

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Section: Discussionmentioning

confidence: 58%

Section: Discussionmentioning

confidence: 90%

Section: Introductionmentioning

confidence: 99%

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Temporal trend of green space coverage in China and its relationship with urbanization over the last two decades

Zhao

Chen

Jiang

et al. 2013

Science of The Total Environment

192

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“…To select the indicators, we began with a literature review [11,13,25,39,54,57] focusing on the indicators suitable for monitoring and measuring environmental impacts and urban sustainability at the neighborhood level; we selected indicators based on DPSIP and the primary aspects of sustainable development.…”

Section: Input and Output Indicatorsmentioning

confidence: 99%

“…We evaluated potential indicators using the following four criteria: reliability, usability, availability, and usefulness in decision making. An initial list of input and output indicators was developed based on earlier studies [11,13,24,25,39,57]. After the potential indicators had been evaluated, the most suitable indicators were chosen for demonstration in Tainan City.…”

Section: Input and Output Indicatorsmentioning

confidence: 99%

Application of Environmental Change Efficiency to the Sustainability of Urban Development at the Neighborhood Level

Kuo

Tsou

2015

Sustainability

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This study describes a new assessment model framework, termed the driving forces-pressure-state-impact-policy and pattern (DPSIP) model, for environmental change efficiency in urban land development, based on urban sustainable development and the theory of economic efficiency evaluation. A spatial and measurable efficiency value is defined for environmental changes in urban land development, which provides a comprehensive evaluation index for the efficiency of urban development and its environmental impact. This type of urban interior sustainability is considered new within the context of global environmental changes. We identify nine important indicators to evaluate the relative efficiency of 233 neighborhoods in Tainan, Taiwan. The results indicate that the average environmental change efficiency is 89.44%, which shows clear spatial differentiation. The key indicators affecting the efficiency score are area, population density, location, mixed land uses, the floor area ratio, and the impervious ratio. In the future, urban design can reduce environmental impacts and enhance efficiency values.

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Characterizing Biodiversity in Urban Areas Using Remote Sensing

Hedblom

Mörtberg

2011

Urban Remote Sensing

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Modeling the environmental impacts of urban land use and land cover change—a study in Merseyside, UK

Cited by 361 publications

References 0 publications

Temporal trend of green space coverage in China and its relationship with urbanization over the last two decades

Temporal trend of green space coverage in China and its relationship with urbanization over the last two decades

Application of Environmental Change Efficiency to the Sustainability of Urban Development at the Neighborhood Level

Characterizing Biodiversity in Urban Areas Using Remote Sensing

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