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The roles and influence of socio-economics in urban system for enhancing urban resilience : case of hydro-meteorological disaster in Chao Phraya River Basin, Thailand | |
Author | Thanakom Wongboontham |
Call Number | AIT Diss. no.UE-24-01 |
Subject(s) | Sustainable urban development--Economic aspects--Thailand--Chao Phraya River Basin Sustainable urban development--Social aspects--Thailand--Chao Phraya River Basin Resilience (Ecology)--Thailand--Chao Phraya River Basin |
Note | A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Urban Environmental Management |
Publisher | Asian Institute of Technology |
Abstract | Chao Phraya River Basin (CPRB) is Thailand the most important river, which has the effect to the social and economic development in both country and Southeast Asia. Social and economic development is along the last 50 years since the industrialization in 1960s. This development appears the social and economic changes that can cause the environmental problems. In the catchment of CPRB, flood is an important disaster in the urban areas. As a reason, this research's main objectives is to analyze the role of socio-economic development in shaping the CPRB's urbanization in the floodplain areas, and the to contribute flood risk in critical locations for offering the multiple strategic resilience framework. The research has the scope on the Chao Phraya River Basin’s catchment areas that covers 25 provinces 295 districts. The research methodologies are the deductive approach based on the Driver, Pressure, State, Impact, and Respond (DPSIR) Framework. The data collection is based on seventeen variables from various public agency sources. The analytical methods are mixed between Principal Component Analysis (PCA), Multiple Linear Regression (MLR), K-Means Clustering, and Socio-economic Vulnerability Index. The PCA is used to select the critical socio-economic indicators at the basin and sub-basin level. MLR is to analyze the relation between socio economic sensitivity, exposure, vulnerability, and impact to point out urban flood risk. The K Means Clustering is the operation to understand the relation between socio-economic sensitivity and exposure. The Socio-economic Vulnerability Index is applied for the socio economic vulnerability and adaptive capacity analysis. As a result, the research found that urban socio-economic plays a significant role of sensitivity in urban expansion, which moved into the floodplain areas, which leads to "Peri-urbanization". This change causes livelihood, residential styles, and land function in the existing flood pattern. The critical location is the BMR in lower CPRB, which found high urban scales at the edge of the region. This changing pattern leads to the anthropogenic risk found in the "Ring pattern" or " Urban Flood Risk Hotspot Ring of BMR ". This pattern is from the contribution of urban socio-economic sensitivity that can increase the level of economic losses, affected households, and total flood impacts. This sensitivity can refer to the socio-economic vulnerability that emphasizes low-income households, dependent populations, and slum communities with low adaptive capacity in disaster budgeting and household income. This vulnerability is found in the north to southeast of the BMR. The result of socio-economic sensitivity, exposure, and vulnerability leads to the high flood risk areas in Nonthaburi, Samut Prakarn, Northern and Eastern Bangkok. At the end, this research intends to address the rearrangement of social adaptive capacity building into the multi-level governance under the urban flood resilience planning framework. |
Year | 2024 |
Type | Dissertation |
School | School of Environment, Resources, and Development |
Department | Department of Development and Sustainability (DDS) |
Academic Program/FoS | Urban Environmental and Management (UE) |
Chairperson(s) | Vilas Nitivattananon |
Examination Committee(s) | Pal, Indrajit;Thi, Phuoc Lai Nguyen |
Scholarship Donor(s) | Royal Thai Government;AIT Fellowship |
Degree | Thesis (Ph.D.) - Asian Institute of Technology, 2024 |