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JDR Vol.13 No.1 pp. 125-137
(2018)
doi: 10.20965/jdr.2018.p0125

Note:

Understanding Regional Building Characteristics in Yangon Based on Digital Building Model

Osamu Murao*1,†, Takuma Usuda*2, Hideomi Gokon* 3, Kimiro Meguro*3, Wataru Takeuchi*3, Kazuya Sugiyasu* 1, and Khin Than Yu*4

*1International Research Institute of Disaster Science, Tohoku University
468-1 Aoba, Aramaki, Aoba-ku, Sendai 980-0845, Japan

Corresponding author

*2Former Graduate School Student, Graduate School of Engineering, Tohoku University

*3Institute of Industrial Science, The University of Tokyo, Japan

*4Yangon Technological University, Myanmar

Received:
September 11, 2017
Accepted:
February 1, 2018
Published:
February 20, 2018
Keywords:
urban vulnerability, Myanmar, building collapse risk, remote sensing, DBM
Abstract

It is indispensable for a government to assess urban vulnerability to natural disasters such as earthquakes or flood in order to take appropriate disaster measures. However, it is sometimes difficult to obtain necessary dataset for cities or regions, especially for developing countries. The authors have been involved in a SATREPS project named “Development of a Comprehensive Disaster Resilience System and Collaboration Platform in Myanmar,” which aims to make urban vulnerability maps for Yangon City based on several datasets including building inventory of each ward. However, Yangon City has not catalogued enough data for the assessment so far. In this context, in order to understand and to arrange regional building characteristics of the city, this paper explores the possibility of using digital building model (DBM) data obtained from remote sensing imageries for the urban vulnerability assessment.

Firstly, a field survey was conducted in Sanchaung Township, and building characteristics such as structural types and the number of stories were analyzed. Therefore, DBM data was prepared for the following comparative analysis. Thirdly, additional field surveys were conducted in Latha and Pabedan Townships, located in the central business districts in the city. Finally, DBM data and the actual building data obtained by the surveys were compared to examine the applicability of DBM for building collapse risk assessment. As a result, it was found that DBM data of 3 m- 7 m represent low-rise buildings, and DBM data of more than 18 m reflect high-rise buildings.

Cite this article as:
O. Murao, T. Usuda, H. Gokon, K. Meguro, W. Takeuchi, K. Sugiyasu, and K. Yu, “Understanding Regional Building Characteristics in Yangon Based on Digital Building Model,” J. Disaster Res., Vol.13, No.1, pp. 125-137, 2018.
Data files:
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Last updated on Nov. 16, 2018