A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Assessing housing quality in metropolitan Lima, Peru
Abstract Recent increases in poverty and inequity combined with rapid population growth in developing countries have created substantial pressures on housing provision. Housing supply shortages and the deterioration in the quality of the housing stock through ageing and lack of repair have become serious problems that need to be addressed in these countries. This paper presents a housing quality index (HQI) model that seeks to provide government housing planners with household and area-based information that allows areas of deficient housing quality to be identified, as well as identifying the primary contributory factors in terms of a set of quality-based indicators. The model is applied using a multi-criteria analysis (MCA) of selected indicators in Lima, Peru. The HQI is calculated using micro-level census data (households) and is spatially aggregated to the city block level so that dwellings in the greatest need of improvements can be mapped and areas that are experiencing high housing quality inequity can be easily visualized. The case study in Lima demonstrates the effectiveness of the model and reveals the spatial distribution of housing quality in a typical Latin American mega-city.
Assessing housing quality in metropolitan Lima, Peru
Abstract Recent increases in poverty and inequity combined with rapid population growth in developing countries have created substantial pressures on housing provision. Housing supply shortages and the deterioration in the quality of the housing stock through ageing and lack of repair have become serious problems that need to be addressed in these countries. This paper presents a housing quality index (HQI) model that seeks to provide government housing planners with household and area-based information that allows areas of deficient housing quality to be identified, as well as identifying the primary contributory factors in terms of a set of quality-based indicators. The model is applied using a multi-criteria analysis (MCA) of selected indicators in Lima, Peru. The HQI is calculated using micro-level census data (households) and is spatially aggregated to the city block level so that dwellings in the greatest need of improvements can be mapped and areas that are experiencing high housing quality inequity can be easily visualized. The case study in Lima demonstrates the effectiveness of the model and reveals the spatial distribution of housing quality in a typical Latin American mega-city.
Assessing housing quality in metropolitan Lima, Peru
Meng, Gang (author) / Hall, G. Brent (author)
2006
Article (Journal)
English
BKL:
56.00$jBauwesen: Allgemeines
/
56.81$jWohnungsbau$XArchitektur
/
74.72
Stadtplanung, kommunale Planung
/
74.72$jStadtplanung$jkommunale Planung
/
56.00
Bauwesen: Allgemeines
/
74.60$jRaumordnung$jStädtebau: Allgemeines
/
74.60
Raumordnung, Städtebau: Allgemeines
/
56.81
Wohnungsbau
Assessing housing quality in metropolitan Lima, Peru
| British Library Online Contents | 2006
Assessing housing quality in metropolitan Lima, Peru
| Online Contents | 2006
| Online Contents | 1997