REVIEWS ON THE SOCIO-ECONOMIC INDICATORS FOR SPATIAL URBAN SCALE

Illyani Ibrahim, Azizan Abu Samah, M. Zainora Asmawi

Abstract

In recent decades, socio-economic variables have been widely used to investigate regional scale particularly in climate change studies. This paper aims to review appropriate socio-economic indicators for studies related to environment and climate at the level of spatial urban scale. It has been a challenge to select appropriate indicators because the interrelationship between human interference and the environment has proved difficult to be understood. The method used for the review is content analysis. The finding proposes the future research to choose suitable socio-economic indicators by referring to the scale of study and the spatial coverage of the topic. This article also provides a socio-economic framework to ensure that the appropriate of urban scale is the key aspect for selection of indicators in environmental and climate related studies.

Keywords

Environment, socio-economic indicators, urban scale

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References

Bowen, R. E., & Riley, C. (2003). Socio-economic indicators and integrated coastal management. Ocean and Coastal Management, 46(3-4), 299-312.

Brochu, P. J., Yanosky, J. D., Paciorek, C. J., Schwartz, J., Chen, J. T., Herrick, R. F., & Suh, H. H. (2011). Particulate air pollution and socioeconomic position in rural and urban areas of the northeastern United States. American Journal of Public Health, 101(Suppl 1), S224-S230.

Chakraborty, M. (2009). An approach towards urban form analysis and landuse classification: A case of Ahmedabad, India. International Institute for Geoinformation Science and Earth Observation Enschede, The Netherlands.

Chrysoulakis, N., Feigenwinter, C., Triantakonstantis, D., Penyevskiy, I., Tal, A., Parlow, E., Marconcini, M. (2014). A conceptual list of indicators for urban planning and management based on earth observation. ISPRS Int. J. Geo-Inf, 3, 980-1002.

Elsayed, I. S. M. (2012). Effects of population density and land management on the intensity of urban heat islands: a case study on the city of Kuala Lumpur, Malaysia. In B. Monwar (Ed.), Application of geographic information systems (pp. 267-283). Rijeka: InTech.

Fernandez-Somoano, A., Hoek, G., & Tardon, A. (2013). Relationship between area-level socioeconomic characteristics and outdoor NO2 concentrations in rural and urban areas of northern Spain. BMC Public Health, 13, 1. http://doi.org/10.1186/1471-2458-13-71

Frenkel, A., & Orenstein, D. E. (2012). Can Urban growth management work in an era of political and economic change? Journal of the American Planning Association, 78(1), 16-33.

Galobardes, B., Shaw, M., Lawlor, D. A., & Lynch, J. W. (2006). Indicators of socioeconomic position (Part 1). Journal of Epidemiology and Community Health, 60(1), 7-12.

Gong, C., Yu, S., Joesting, H., & Chen, J. (2013). Determining socioeconomic drivers of urban forest fragmentation with historical remote sensing images. Landscape and Urban Planning, 117, 57-65.

Goodchild, M. F., Anselin, L., & Deichmann, U. (1993). A framework for the areal interpolation of socioeconomic data. Environment and Planning A, 25(3), 383-397.

Greer, A., Ng, V., & Fisman, D. (2008). Climate change and infectious diseases in North America: The road ahead. Canadian Medical Association Journal, 178(6), 715-722.

Grekousis, G., Mountrakis, G., & Kavouras, M. (2016). Linking MODIS-derived forest and cropland land cover 2011 estimations to socioeconomic and environmental indicators for the European Union’s 28 countries. GIScience & Remote Sensing, 53(1), 122-146.

Habermann, M., Souza, M., Prado, R., & Gouveia, N. (2014). Socioeconomic inequalities and exposure to traffic-related air pollution in the city of Sao Paulo, Brazil. Cad Saude Publica, 30(1), 119-125.

Hoornweg, D., Freira, M., Lee, M. J., Bhada-Tata, P., & Yuen, B. (Eds.) (2011).

Cities and climate change: Responding to an urgent Agenda. Washington D.C.: The World Bank.

Huang, J., Lu, X. X., & Sellers, J. M. (2007). A global comparative analysis of urban form: Applying spatial metrics and remote sensing. Landscape and Urban Planning, 82(4), 184-197.

Jensen, J., & Cowen, D. (1999). Remote sensing of urban suburban infrastructure and socio-economic attributes. Photogrammetric Engineering and Remote Sensing, 65(5), 611-622.

Jing, X., Shao, X., Cao, C., Fu, X., & Yan, L. (2016). Comparison between the Suomi-NPP day-night band and DMSP-OLS for correlating socioeconomic variables at the provincial level in China. Remote Sensing, 8(1), 1-24.

Keeney, R. L., & Gregory, R. S. (2005). Selecting attributes to measure the achievement of objectives. Operations Research, 53, 1-11.

Kenney, M. A., Chen, R. S., Maldonado, J., & Quattrochi, D. (2012). Climate change impacts and responses: Societal indicators for the national climate assessment. National Climate Assessment (NCA), 5c, 1-111.

Khalyani, A. H., Mayer, A. L., Falkowski, M. J., & Muralidharan, D. (2013). Deforestation and landscape structure changes related to socioeconomic dynamics and climate change in Zagros forests. Journal of Land Use Science, 5(3), 321-340.

Koomen, E. (2003). Spatial analysis in support of physical planning (Dissertation). Vrije Universiteit, Amsterdam.

Lee, T., & Painter, M. (2015). Urban climate comprehensive local climate policy : The role of urban governance. Urban Climate, 14, 566-577.

Marin, G., & Modica, M. (2017). Socio-economic exposure to natural disasters. Environmental Impact Assessment Review, 64, 57-66.

Masson, V., Marchadier, C., Adolphe, L., Aguejdad, R., Avner, P., Bonhomme, M., ... Zibouche, K. (2014). Adapting cities to climate change: A systemic modelling approach. Urban Climate, 10(P2), 407-429.

Nesbitt, L., & Meitner, M. J. (2016). Exploring relationships between socioeconomic background and urban greenery in Portland, OR. Forests, 7(8), 1-14.

Ng, E., & Ren, C. (Eds.) (2015). The urban climatic map for sustainable urban planning. New York: Routledge.

Plumejeaud-Perreau, C., Poitevin, C., Plumejeaud-perreau, C., Poitevin, C., & Build, N. L. (2015, July). Building local climate zones by using socioeconomic and topographic vectorial databases. ICUC9, July 20-24 July, Toulouse, France.

Schlunzen, K. H., & Bohnenstengel, S. I. (2016). Socio-economic impacts: Urban climate. In M. Quante and F. Colijn (Eds.), North Sea region climate change assessment (pp. 417-429). Springer International Publishing.

Schwarz, N. (2010). Urban form revisited-Selecting indicators for characterising European cities. Landscape and Urban Planning, 96(1), 29-47.

Sethi, M., & de Oliveira, J. P. (2015). From global “North-South” to local “Urban-Rural”: A shifting paradigm in climate governance? Urban Climate, 14, 529-543.

Singh, M. K. (2010). Socio-economics of climate change (impact on agriculture land use changes in India) (Doctoral dissertation). Szent Istvan University, Godollo.

Turrell, G., Hewitt, B., Patterson, B., & Oldenburg, B. (2002). Socioeconomic differences in food purchasing behaviour and suggested implications for diet-related health promotion. JHum Nutr Diet., 15(5), 355-364.

United Nation Statistics Division. (n.d.). Environmental indicators. Retrieved October 12, 2016, from http ://unstats.un. org/unsd/environment/indicators.htm

Viguie, V., Hallegatte, S., & Rozenberg, J. (2014). Downscaling long term socioeconomic scenarios at city scale: A case study on Paris. Technological Forecasting and Social Change, 87, 305-324.

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