Effective green equivalent-A measure of public green spaces for cities

Abstract Quantifying the public green space required by urban residents is a fundamental aspect of sustainable urban planning and management. This paper proposes a metric of effective green equivalent (EGE), which is defined as the area of green space multiplied by corrected coefficients of quality and accessibility. Based on the EGE values of individual residents, two city-level indicators are developed: (1) average EGE, which refers to the average level of EGE values of all urban residents within the urban boundary; and (2) an inequality coefficient, which measures the inequality of EGE distribution across the urban area. Three indicators (EGE, average EGE, and the inequality coefficient) were used to measure the real green spaces of the urban residents of Beijing, China. The results showed that the EGE values for individual residents in Beijing follow a normal distribution. The average EGE value is 355.49 ha per resident and the inequality coefficient value is calculated to be 0.24, indicating that the current public green spaces of Beijing can basically meet residents’ requirements. These indicators can thus be applied to urban public green space planning practice.

[1]  Christiane Weber.  Interaction model application for urban planning , 2003 .

[2]  A. Chiesura.  The role of urban parks for the sustainable city. , 2004 .

[3]  W. Chi.  Capital Income and Income Inequality : Evidence from Urban China , 2015 .

[4]  Ellen Banzhaf,et al.  Assessing urban environmental segregation (UES). The case of Santiago de Chile , 2012 .

[5]  B. Kleinschmit,et al.  Linkages between ecosystem services provisioning, urban growth and shrinkage – A modeling approach assessing ecosystem service trade-offs , 2014 .

[6]  J. K. Summers,et al.  Relating ecoystem services to domains of human well-being: Foundation for a U.S. index , 2013 .

[7]  O. Bastian,et al.  Ecosystem properties, potentials and services – The EPPS conceptual framework and an urban application example , 2012 .

[8]  Irene van Kamp,et al.  Urban environmental quality and human well-being Towards a conceptual framework and demarcation of concepts; a literature study , 2003 .

[9]  W. Chi.  Capital Income and Income Inequality: Evidence from Urban China , 2012 .

[10]  D. L. Rosa.  Accessibility to greenspaces: GIS based indicators for sustainable planning in a dense urban context , 2014 .

[11]  C.Y. Jim,et al.  Assessing the landscape and ecological quality of urban green spaces in a compact city , 2014 .

[12]  R. Dorfman.  A Formula for the Gini Coefficient , 1979 .

[13]  H. Coolen,et al.  Private and public green spaces: meaningful but different settings , 2011, Journal of Housing and the Built Environment.

[14]  Jari Niemelä,et al.  Ecology of urban green spaces: The way forward in answering major research questions , 2014 .

[15]  J. Mihelcic,et al.  Accessibility and usability: Green space preferences, perceptions, and barriers in a rapidly urbanizing city in Latin America , 2012 .

[16]  R. Burnett,et al.  A cohort study relating urban green space with mortality in Ontario, Canada. , 2012, Environmental research.

[17]  J. Mihelcic,et al.  Assessing equitable access to urban green space: the role of engineered water infrastructure. , 2011, Environmental science & technology.

[18]  Scott D. Campbell,et al.  Green Cities, Growing Cities, Just Cities? Urban Planning and the Contradictions of Sustainable , 1996 .

[19]  Salman Qureshi,et al.  The Theorized Urban Gradient (TUG) method—A conceptual framework for socio-ecological sampling in complex urban agglomerations , 2014 .

[20]  B. Moldan,et al.  How to understand and measure environmental sustainability: Indicators and targets , 2012 .

[21]  Sean White,et al.  Urban population distribution models and service accessibility estimation , 2008, Comput. Environ. Urban Syst..

[22]  K. Perini.  Ecosystem Services in Urban Areas – Social, Environmental, and Economic Benefits , 2016 .

[23]  B. Geys,et al.  Evaluating efficient public good provision: Theory and evidence from a generalised conditional efficiency model for public libraries , 2011 .

[24]  Liu Yanfang,et al.  Optimization of land use structure based on ecological GREEN equivalent , 2002 .

[25]  Kevin J. Gaston,et al.  Who benefits from access to green space? A case study from Sheffield, UK , 2007 .

[26]  Veronika Gaube,et al.  Impact of urban planning on household's residential decisions: An agent-based simulation model for Vienna☆ , 2013, Environ. Model. Softw..

[27]  Paul Lanoie,et al.  Measuring the sustainability of cities: An analysis of the use of local indicators , 2010 .

[28]  B. Henricot,et al.  The domestic garden – Its contribution to urban green infrastructure , 2012 .

[29]  Jasper Schipperijn,et al.  Influences on the use of urban green space – A case study in Odense, Denmark , 2010 .

[30]  K. P. Sharma,et al.  Urban Neighborhood Green Index – A measure of green spaces in urban areas , 2012 .