@phdthesis{Nguyen2014, author = {Nguyen, Thi Phuong Chau}, title = {The Socioeconomic impact assessment of climate change in Ho Chi Minh City}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:co1-opus-29580}, school = {BTU Cottbus - Senftenberg}, year = {2014}, abstract = {Historically as a city situated in a low-lying area a Ho Chi Minh City has been exposed to floods. Ho Chi Minh City is a megacity with uncontrollable urbanization and dynam-ic economies. In recent years, flood has become a serious problem with a multitude of follow-on impacts. It received more heavy rains affected by tropical storms and cy-clones. Further urbanization and future changes in climate are likely to increase flood risks. People have faced the flood impacts on the socioeconomic aspects in recent dec-ades. This study researched on 450 households in different spaces of the inner center (old districts), developed center (urban districts) and new-developing areas (peri-districts) and in different geographical elevations to identify the impacts of flooding in various space and time; and various problems on households' socioeconomic aspects in flood residential areas. The multi-criteria analyses in GIS and with of the combination SPSS analysis, the sur-veyed households were identified by their location on the topographic map to clarify the flooding reasons and the types of flood in the areas. The 450 households were chosen in flood residential areas and selected in three categories of characteristics: (1) 150 poor households in flood housing areas; (2) 150 poor households in non-flood housing areas; and (3) 150 higher-income households in non-flood housing areas. This disparity was to analyze the different flood impacts on socioeconomic aspects and on household capitals amongst them. The linear regression in SPSS analysis was used to clarify the relation-ships between flood types with space factor (geographical elevation) and time factors (flood months in year, and flood years in residential areas). This test gave the supports to the reliability of the study results. By geographical elevation analysis, flood impacted on the areas in three main types: (1) flood by rain; (2) flood by tide; and (3) flood by both rain and tide. The tidal flood oc-cupied the low-elevation areas; flood by rain invaded the widespread higher-elevation areas; and the mix type of flood occupied the transition areas between flood areas by rain and by tide. Lower land had the deeper flood level, however; many of high-land areas were flooded in this city. Flood in residential areas had caused flood problems on streets, sidewalks (housing pavements), residential drainage system, water supply and electric power. In the poor households of Group One, flood in residential areas impacted their housing areas. To protect housing from flooding, many households had to invest their income for house rising or rebuilding or pavement rising, etc. They also privately invested for repairing or new buying their housing facilities, furniture and other appli-ances. Their income was lost and deficit. To the household capitals analysis, households were impacted more on physical, financial, natural and human capitals. The poor households in Group One had the most vulnerabilities amongst three groups, whilst there was no support from social organizations and government at levels. The household strategies developed in this study are to support people in flood and flood-prone areas conserving their capabilities to achieve the strategic outcome for sustainable develop-ment.}, subject = {Verst{\"a}dterung; Sozio{\"o}konomischer Wandel; Klima{\"a}nderung; Hochwasser; Geoinformationssystem; Hochwasser; Klimawandel; Urbanisierung; Sozio-{\"o}konomische Auswirkungen; Kapital-Vulnerabilit{\"a}t; Flood impacts; Climatic change; Rapid urbanization; Socioeconomic impacts; Households' capital vulnerability}, language = {en} }