Estimating the low-income housing stock in Bangkok

By: Call Number: AIT Thesis no. HS-79-01 Contributor(s): Material type: TextSeries: Asian Institute of Technology. Thesis ; no. HS-79-01Publication details: Bangkok : Asian Institute of Technology, 1979Description: vi, 60 pSubject(s): Online resources: Dissertation note: Thesis (M.Sc.) - Asian Institute of Technology, 1979 Summary: The low-income housing delivery system approach has been recognized to be an alternative solution to t he problem of housing shortage. In Bangkok, various low-income housing subsystems were identified. The magnitude of these subsystems, except the squatters, were unavailable while it might be of great importance to planners and decision makers. Previous in-depth studies of certain subsystems have provided valuable insights and information of housing condition. Yet, some subsystems remained untouched. The main objective of this study was a simple one: to figure out the nearest number of the existing housing stock of the respective housing sub systems. Altogether there were 11 subsystems to be estimated. Aside from providing a relatively reliable number of the subsystem, also the linkage of the subsystems .and the policy interpretations of the low-income housing delivery system were explored. The method for estimation applied here was the combination of data collection, interviews and sampling survey, depending on what subsystem was dealt with. The former research findings and government census data were extensively used. Forty percent of the total population of the study area, Bangkok Metropolitan Area, was considered as low-income habitants. Through the analysis and possible estimations, the total low-income people were classified to be: 165,000 pure squatters, 700,000 temporary tenants, 150,000 public housing occupants, 234,000 rural commuters, 126,000 low-income employees living in houses provided by their employers, and 440,000 had their own private houses. The omitted sub9ystems were found to be either of relative significance or inherited in other subsystems. Thus, the low-income housing subsystems accommodated approximately, 1,755,000 people.
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A thesis submitted in partial fulfillment of the requirement for the degree of Master of Science, School of Engineering and Technology

Thesis (M.Sc.) - Asian Institute of Technology, 1979

The low-income housing delivery system approach has been recognized to be an alternative solution to t he problem of housing shortage. In Bangkok, various low-income housing subsystems were identified. The magnitude of these subsystems, except the squatters, were unavailable while it might be of great importance to planners and decision makers. Previous in-depth studies of certain subsystems have provided valuable insights and information of housing condition. Yet, some subsystems remained untouched. The main objective of this study was a simple one: to figure out the nearest number of the existing housing stock of the respective housing sub systems. Altogether there were 11 subsystems to be estimated. Aside from providing a relatively reliable number of the subsystem, also the linkage of the subsystems .and the policy interpretations of the low-income housing delivery system were explored. The method for estimation applied here was the combination of data collection, interviews and sampling survey, depending on what subsystem was dealt with. The former research findings and government census data were extensively used. Forty percent of the total population of the study area, Bangkok Metropolitan Area, was considered as low-income habitants. Through the analysis and possible estimations, the total low-income people were classified to be: 165,000 pure squatters, 700,000 temporary tenants, 150,000 public housing occupants, 234,000 rural commuters, 126,000 low-income employees living in houses provided by their employers, and 440,000 had their own private houses. The omitted sub9ystems were found to be either of relative significance or inherited in other subsystems. Thus, the low-income housing subsystems accommodated approximately, 1,755,000 people.

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