@article{Leelawat20151041,

title = {Disaster warning system in the Philippines through enterprise engineering perspective: A study on the 2013 super Typhoon Haiyan},

author = {Natt Leelawat and Anawat Suppasri and Shuichi Kure and Carine J. Yi and Cherry May R. Mateo and Fumihiko Imamura},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84957097461&doi=10.20965%2fjdr.2015.p1041&partnerID=40&md5=a9935cc6f7f88993c1226e4a651c587c},

doi = {10.20965/jdr.2015.p1041},

issn = {18812473},

year  = {2015},

date = {2015-01-01},

journal = {Journal of Disaster Research},

volume = {10},

number = {6},

pages = {1041 – 1050},

publisher = {Fuji Technology Press},

abstract = {In this research on disaster warning systems, the Philippines was selected to be a case study. The Philippines was hit by a particularly bad storm in 2013 Super Typhoon Haiyan. Here we focused on warning system process management from an enterprise engineering perspective. In understanding warning systems, it is necessary to know the essence of overall processes. The objective of this qualitative study is to determine the system’s essential components by using the Design and Engineering Methodology for Organizations (DEMO). This involves both assigning responsibility levels and utilizing both traditional means such as broadcast vehicles with speakers and radios and newer means such as Internet channels to disseminate warning information. The findings provide a simple model explaining the disaster-related organization and communication structure. They also contribute a practical aspect in the form of suggestions to planners and decision makers that may assist them in preparing mitigation plans for projected natural disasters. © 2015, Fuji Technology Press. All rights reserved.},

note = {Cited by: 9; All Open Access, Gold Open Access},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Leelawat2015111,

title = {The tsunami warning system in Thailand: A part of the reconstruction process after the 2004 Indian Ocean tsunami},

author = {Natt Leelawat and Anawat Suppasri and Fumihiko Imamura},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85014058507&doi=10.1007%2f978-3-319-10202-3_8&partnerID=40&md5=f7b7c1911d09e7b5f304170e4cc8c06a},

doi = {10.1007/978-3-319-10202-3_8},

issn = {18789897},

year  = {2015},

date = {2015-01-01},

journal = {Advances in Natural and Technological Hazards Research},

volume = {44},

pages = {111 – 119},

publisher = {Springer Netherlands},

abstract = {A disaster early warning system is an important tool to prevent a large number of human casualties from natural disasters such as earthquakes and tsunamis. In Thailand, an early disaster warning system has been established as a part of the reconstruction process after the 2004 Indian Ocean earthquake and tsunami. This chapter focuses on the establishment, development and management process of this early warning system, with particular emphasis on tsunami hazards. This study considers face-to-face interviews with executive officers from the National Disaster Warning Center (NDWC) and the Seismological Bureau of the Thai Meteorological Department (TMD). Moreover, observations of a warning drill conducted in September 2013 in Bangkok, Thailand are also considered. Relevant issues and findings are discussed while providing suggestions for the potential development of early warning systems of a similar nature in other developing countries. © Springer International Publishing Switzerland 2015.},

note = {Cited by: 12},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Leelawat2015105,

title = {A study on influential factors on building damage in Kesennuma, Japan from the 2011 great East Japan Tsunami},

author = {Natt Leelawat and Anawat Suppasri and Ingrid Charvet and Takayuki Kimura and Daisuke Sugawara and Fumihiko Imamura},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84930940576&doi=10.4186%2fej.2015.19.3.105&partnerID=40&md5=775390cea9aa0a32b9adb33c93fa22b5},

doi = {10.4186/ej.2015.19.3.105},

issn = {01258281},

year  = {2015},

date = {2015-01-01},

journal = {Engineering Journal},

volume = {19},

number = {3},

pages = {105 – 115},

publisher = {Chulalongkorn University 1},

abstract = {A number of buildings were damaged by the 2011 Great East Japan tsunami in the Tohoku area. The research objective is to determine the significant predictor variables of the level of building damage. This paper used detailed data on damaged buildings in Kesennuma City, Japan, collected by the Ministry of Land, Infrastructure, Transport and Tourism (MLIT). The tested explanatory parameters included the inundation depth, number of floors, volume of the building, debris flow, structural material, and function of the building. Through multinomial logistic regression, the results found that the number of floors was significantly associated with the damage level; the inundation depth, structural material (reinforced concrete and masonry), and function of the building (commercial facility, transportation/storage facility, and public facility) were partially associated with the damage level. This study can contribute to academic research by assessing the contribution of different variables to observed damage data by applying statistical analysis, as well as the practical contribution of providing an examination of the predominant factors driving tsunami damage to buildings. © 2015, Chulalongkorn University 1. All rights reserved.},

note = {Cited by: 6; All Open Access, Bronze Open Access, Green Open Access},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Leelawat2015310,

title = {Disaster Recovery and Reconstruction Following the 2011 Great East Japan Earthquake and Tsunami: A Business Process Management Perspective},

author = {Natt Leelawat and Anawat Suppasri and Fumihiko Imamura},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84957046584&doi=10.1007%2fs13753-015-0066-1&partnerID=40&md5=b04831f79314b836d0b6a6120b3cdf9f},

doi = {10.1007/s13753-015-0066-1},

issn = {20950055},

year  = {2015},

date = {2015-01-01},

journal = {International Journal of Disaster Risk Science},

volume = {6},

number = {3},

pages = {310 – 314},

publisher = {Beijing Normal University Press},

abstract = {The Tohoku Regional Bureau (TRB) of the Ministry of Land, Infrastructure, Transport and Tourism (MLIT) performed various actions in response to the 2011 Great East Japan Earthquake and Tsunami. The total disaster recovery and reconstruction period is expected to last for 10 years, of which the first five years are regarded as the concentrated reconstruction period. As of 2013, a majority of the mega projects that involved restoration actions have been completed, which indicates a more effective rate of completion compared with the MLIT projects performed in normal non-disaster situations. This short article explains the management process of the recovery and reconstruction utilized by the TRB—an inter-organizational process—from a business process management (BPM) perspective and creates a simple organization construction diagram of the entire process. The study focused on the transactions and actor roles to identify their strengths. The findings indicate the utilization of different operational procedures in some parts of the process, the importance of liaison role, as well as some obstacles. The lessons learned from this analysis can assist managers and researchers in designing and managing restoration processes for future disasters. © 2015, The Author(s).},

note = {Cited by: 15; All Open Access, Gold Open Access},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Leelawat2014449,

title = {Building damage from the 2011 Great East Japan tsunami: Quantitative assessment of influential factors: A new perspective on building damage analysis},

author = {Natt Leelawat and Anawat Suppasri and Ingrid Charvet and Fumihiko Imamura},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84905381788&doi=10.1007%2fs11069-014-1081-z&partnerID=40&md5=60fb4a06b3c6255fd201b2aaccdb13c8},

doi = {10.1007/s11069-014-1081-z},

issn = {0921030X},

year  = {2014},

date = {2014-01-01},

journal = {Natural Hazards},

volume = {73},

number = {2},

pages = {449 – 471},

publisher = {Kluwer Academic Publishers},

abstract = {Based on the classification provided by the Ministry of Land, Infrastructure, Transport and Tourism (MLIT), the damage level of buildings impacted by the 2011 Great East Japan tsunami can be separated into six levels (from minor damage to washed away). The objective of this paper is to identify the significant predictor variables and the direction of their potential relationship to the damage level in order to create a predicting formula for damage level. This study used the detailed data of damaged buildings in Ishinomaki city, Miyagi prefecture, Japan, collected by MLIT. The explanatory variables tested included the inundation depth, number of floors, structural material, and function of the building. Ordinal regression was applied to model the relationship between the ordinal outcome variable (damage level) and the predictors. The findings indicated that inundation depth, structural material, and function of building were significantly associated with the damage level. In addition to this new type of model, this research provides a valuable insight into the relative influence of different factors on building damage and suggestions that may help to revise the classification of current standards. This study can contribute to academic tsunami research by assessing the contribution of different variables to the observed damage using new approaches based on statistical analysis and regression. Moreover, practical applications of these results include understanding of the predominant factors driving tsunami damage to structures, implementation of the relevant variables into the proposed, or alternative model in order to improve current damage predictions by taking into account not only inundation depth, but also variables such as structural material and function of building. © 2014 The Author(s).},

note = {Cited by: 40},

keywords = {},

pubstate = {published},

tppubtype = {article}

}