TY - JOUR
T1 - Understanding regional building characteristics in yangon based on digital building model
AU - Murao, Osamu
AU - Usuda, Takuma
AU - Gokon, Hideomi
AU - Meguro, Kimiro
AU - Takeuchi, Wataru
AU - Sugiyasu, Kazuya
AU - Yu, Khin Than
N1 - Funding Information:
This research was supported by the Japan Science and Technology Agency (JST) and the Japan International Cooperation Agency (JICA) as Science and Technology Research Partnership for Sustainable Development (SATREPS) for “Development of a Comprehensive Disaster Resilience System and Collaboration Platform in Myanmar.” In addition, the authors would like to acknowledge the contributions of JICA and Mr. Sritarapipat at Institute of Industrial Science, The University of Tokyo.
Publisher Copyright:
© 2018, Fuji Technology Press. All rights reserved.
PY - 2018/2
Y1 - 2018/2
N2 - 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.
AB - 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.
KW - Building collapse risk
KW - DBM
KW - Myanmar
KW - Remote sensing
KW - Urban vulnerability
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U2 - 10.20965/jdr.2018.p0125
DO - 10.20965/jdr.2018.p0125
M3 - Comment/debate
AN - SCOPUS:85049346546
SN - 1881-2473
VL - 13
SP - 125
EP - 137
JO - Journal of Disaster Research
JF - Journal of Disaster Research
IS - 1
ER -