MANAGING URBANISATION AND URBAN SPRAWL IN MALAYSIA BY USING REMOTE SENSING AND GIS APPLICATIONS

Authors

  • Nur Aulia Rosni Kulliyyah of Architecture and Environmental Design INTERNATIONAL ISLAMIC UNIVERSITY MALAYSIA
  • Noorzailawati Mohd Noor Kulliyyah of Architecture and Environmental Design INTERNATIONAL ISLAMIC UNIVERSITY MALAYSIA
  • Alias Abdullah Kulliyyah of Architecture and Environmental Design INTERNATIONAL ISLAMIC UNIVERSITY MALAYSIA

DOI:

https://doi.org/10.21837/pm.v14i4.145

Keywords:

Urban Sprawl Measurement, Geospatial Indices, Urbanisation, Remote Sensing, GIS, Asian Cities

Abstract

In the global era, more than half of the world population live in urban area. With rapid urbanisation growth where the highest percentage concentrates in Asia, a relevant approach is needed to eliminate the possible threat that occurs after urbanisation took place; the urban sprawl. Urban sprawl is a popular term in academic discourse and has a long history but until these days, the concrete definition of this term is not yet configured. Many studies of sprawl have rooted back in non-Asian countries making the solution for sprawl is not suitable to be implemented in term of theories and practice. This research attempts to study the measurement of sprawl by using these geospatial indexes with Remote Sensing and GIS approach. The SPOT-5 images with 2.5 meters resolution were used to analyse the growth of sprawl in Kuala Lumpur metropolitan due to its high urbanisation rate. The findings show that Kuala Lumpur is a sprawling city. It is anticipated that this research will provide a new direction in urban sprawl studies and represent a robust analytic approach for characterizing urban development on the city scale at once as well as promoting a city via Remote Sensing and GIS technology.

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References

Abdullah, J. (2012). City Competitiveness and Urban Sprawl: Their Implications to Socio-Economic and Cultural Life in Malaysian Cities.

Procedia -Social and Behavioral Sciences, 50 (July), 20–29. doi:10.1016/j.sbspro.2012.08.012

Agarwal, S., Satyavada, S., Kaushik, S. & Kumar, R. (2007). Urbanization, Urban Poverty And Health Of The Urban Poor: Status, Challenges And The Way Forward. Demography India, 36, 1, p.p 121.

Bhatta, B., Saraswati, S., & Bandyopadhyay, D. (2010). Quantifying the Degree-Of-Freedom, Degree-Of-Sprawl, and Degree-Of-Goodness of Urban Growth from Remote Sensing Data. Applied Geography, 30(1), 96–111. doi:10.1016/j.apgeog.2009.08.001

Burchell, R. W., Shad, N. A., Listokin, D., & Phillips, H. (1998). The Cost of Sprawl - Revisited. Washington, D.C.

Ewing, R., Meakins, G., Hamidi, S., & Nelson, A. C. (2014). Relationship Between Urban Sprawl and Physical Activity, Obesity, and Morbidity -

Update and Refinement. Health and Place, 26, 118–126. doi:10.1016/j.healthplace.2013.12.008

Ewing, R., Pendall, R., & Chen, D. (2002). Measuring Sprawl and Its Impact. Smart Growth America. Retrieved from http://www.smartgrowthamerica.org/sprawlindex/sprawlindex.html

Galster, G., Hanson, R., Ratcliffe, M. R., Wolman, H., Coleman, S., & Freihage, J. (2001). Wrestling Sprawl to The Ground: Defining and Measuring an Elusive Concept. Housing Policy Debate, 12(4), 681–717. doi:10.1080/10511482.2001.9521426

Herold, M., Goldstein, N. C., & Clarke, K. C. (2003). The Spatiotemporal Form of Urban Growth: Measurement, Analysis and Modeling. Remote Sensing of Environment, 86(3), 286–302. doi:10.1016/S0034-4257(03)00075-0

Herold, M., Menz, G., & Clarke, K. C. (2001). Remote Sensing and Urban Growth Models –Demands and Perspectives. Regensburger Geographische Schriften, 35, 78 –88. Retrieved from http://www.eo.uni-jena.de/~c5hema/pub/herold_menz_clarke.pdf

Jaafar, J. (2004). Emerging trends of urbanisation in Malaysia. Journal of the Department of Statistics, Malaysia 1(1), 43-54.

Majid, M. R., & Yahya, H. (2010). Sprawling of a Malaysian City : What Type and What Solutions ? *. The First International Conference on Sustainable Urbanization (ICSU 2010), (December), 15–17.

Mohd Noor, N., Hashim, M., & Marghany, M. (2009). Modeling sprawl of unauthorized development using geospatial technology: Case study in Kuantan district, Malaysia. International Journal of Digital Earth. 2011;4(3):223-238

Sudhira, H. S., & Ramachandra, T. V. (2007). Characterising Urban Sprawl from Remote Sensing Data and Using Landscape Metrics. In 10th International Conference on Computers in Urban Planning and Urban Management. Brazil.

Weng, Q. (2001). A Remote Sensing –GIS Evaluation of Urban Expansion and its Impact on Surface Temperature in The Zhujiang Delta, China. International Journal Remote Sensing, 22(10), 1999–2014.

Wilson, E. H., Hurd, J. D., Civco, D. L., Prisloe, M. P., & Arnold, C. (2003). Development of a Geospatial Model to Quantify, Describe and Map Urban Growth. Remote Sensing of Environment, 86(3), 275–285. doi:10.1016/S0034-4257(03)00074-9

Yeh, A. G.-O., & Li, X. (1999). An Entropy Method to Analyze Urban Sprawl in a Rapid Growing Region Using TM Images. In Asian Conference on Remote Sensing(pp. 1–6). Hong Kong.

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Published

2016-07-30

How to Cite

Rosni, N. A., Mohd Noor, N., & Abdullah, A. (2016). MANAGING URBANISATION AND URBAN SPRAWL IN MALAYSIA BY USING REMOTE SENSING AND GIS APPLICATIONS. PLANNING MALAYSIA, 14(4). https://doi.org/10.21837/pm.v14i4.145

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