JDR Vol.13 No.1 pp. 50-61
doi: 10.20965/jdr.2018.p0050


Land Cover Change Simulations in Yangon Under Several Scenarios of Flood and Earthquake Vulnerabilities with Master Plan

Tanakorn Sritarapipat and Wataru Takeuchi

The University of Tokyo
6-1 Komaba 4-chome, Meguro, Tokyo 153-8505, Japan

Corresponding author

September 1, 2017
February 5, 2018
February 20, 2018
prediction of urban expansion, disaster risk assessment, disaster risk reduction, Landsat

Yangon is the largest city and major economic area in Myanmar. However, it is considered to have a high risk of floods and earthquakes. In order to mitigate future flood and earthquake damage in Yangon, land cover change simulations considering flood and earthquake vulnerabilities are needed to support urban planning and management. This paper proposes land cover change simulations in Yangon from 2020 to 2040 under various scenarios of flood and earthquake vulnerabilities with a master plan. In our methodology, we used a dynamic statistical model to predict urban expansion in Yangon from 2020 to 2040. We employed a master plan as the future dataset to enhance the prediction of urban expansion. We applied flood and earthquake vulnerabilities based on multi-criteria analysis as the areas vulnerable to disaster. We simulated land cover changes from 2020 to 2040 considering the vulnerable areas with a master plan for multiple scenarios. The experiments indicated that by using a master plan, some of the predicted urban areas are still located in areas highly vulnerable to floods and earthquakes. By integrating the prediction of urban expansion with flood and earthquake vulnerabilities, the predicted urban areas can effectively avoid areas highly vulnerable to floods and earthquakes.

  1. [1] I. Morley, “Rangoon,” Cities. Vol.31, pp. 601-614, 2013. J. Clerk Maxwell, “A Treatise on Electricity and Magnetism,” 3rd ed., Vol.2, Oxford: Clarendon, pp. 68-73, 1892.
  2. [2] United Nations, “World Urbanization Prospects (The 2014 Revision),” Department of Economic and Social Affairs, Population Division, 2015.
  3. [3] JICA (Japan International Cooperation Agency), “The Project for the Strategic Urban Development Plan of the Greater Yangon,” 2013.
  4. [4] [accessed June 20, 2016]
  5. [5] World Bank, “Myanmar Southeast Asia Disaster Risk Management Project,” 2017.
  6. [6] I. S. Lowry, “A model of metropolis Santa Monica,” CA (Rand Corporation), 1964.
  7. [7] F. H. Sklar and R. Costanza, “The development of dynamic spatial models for landscape ecology,” A review and prognosis, pp. 239-288, 1991.
  8. [8] M. Batty, “Cellular automata and urban form,” J. of the American Planning Association. Vol.63, No.3, pp. 264-274, 1997.
  9. [9] I. Benenson, “Multiagent simulations of residential dynamics in the city,” Computers Environment and Urban Systems. Vol.22, No.1, pp. 25-42, 1998.
  10. [10] X. Zhang and Y. Wang, “Spatial dynamic modeling for urban development,” Photogrammetric engineering and remote sensing. Vol.67, No.9, pp. 1049-1057, 2001.
  11. [11] T. Sritarapipat and W. Takeuchi, “Building Classification in Yangon City, Myanmar using Stereo GeoEye Images, Landsat Image and Night-time Light Data,” Remote Sensing Applications: Society and Environment, Vol.6, pp. 46-51, 2017.
  12. [12] S. H. Cho, Z. Chen, S. T. Yen, and D. B. Eastwood, “Estimating effects of an urban growth boundary on Land development,” J. of Agricultural and Applied Economics, Vol.38, No.2, pp. 287-298, 2006.
  13. [13] T. Sritarapipat and W. Takeuchi, “Urban growth modeling based on the multi-centers of the urban areas and land cover change in Yangon, Myanmar,” J. of Remote Sensing Society of Japan, Vol.37, No.3, pp. 248-260, 2017.
  14. [14] D. Hoornweg and K. Pope, “Socioeconomic Pathways and Regional Distribution of the World’s 101 Largest Cities,” Global Cities Institute, Working Paper No.4, 2014.
  15. [15] N. Kazakis, I. Kougias, and T. Patsialis, “Assessment of flood hazard areas at a regional scale using an index-based approach and Analytical Hierarchy Process: Application in Rhodope – Evros region, Greece,” Science of the Total Environment, Vol.538, pp. 555-563, 2015.
  16. [16] S. Karimzadeh, M. Miyajima, R. Hassanzadeh, R. Amiraslanzadeh, and B. Kamel, “A GIS based seismic hazard, building vulnerability and human loss assessment for the earthquake scenario in Tabriz,” Soil Dynamics and Earthquake Engineering. Vol.66, pp. 263-280, 2014.
  17. [17] M. Thant, “Probabilistic Seismic hazard assessment for Yangon region, Myanmar,” ASEAN Engineering J. Part C, Vol.3, No.2, p. 131, 2012.
  18. [18] W. Kron, “Flood Risk = Hazard·Values·Vulnerability,” Water Int., Vol.30, pp. 58-68, 2005.
  19. [19] JICA (Japan International Cooperation Agency), “The Strategic Urban Development Plan and the Urban Transport Development Plan of the Greater Yangon,” 2016.
Cite this article as:
Tanakorn Sritarapipat and Wataru Takeuchi, “Land Cover Change Simulations in Yangon Under Several Scenarios of Flood and Earthquake Vulnerabilities with Master Plan,” J. Disaster Res., Vol.13, No.1, pp. 50-61, 2018
Tanakorn Sritarapipat and Wataru Takeuchi, J. Disaster Res., Vol.13, No.1, pp. 50-61, 2018

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Last updated on May. 19, 2018