Abstract
Dar es Salaam is one of the fastest growing cities in East Africa, with a population of 4,364,541 whose annual growth rate is 4.5%. The population increase is mainly caused by rural to urban migration causing traffic congestion, unemployment, emerging of unplanned settlements, inadequate infrastructure, and social and housing services. In order to overcome these challenges there is an urgent need to establish and determine suitable locations of satellite towns to the outskirts of the central business district (CBD) to strengthen economic and social activities using reliable techniques. Selecting suitable locations of satellite towns has been determined by using distance from the CBD and population growth indicators. The limitations of using these indicators include unsuitable locations, which ultimately failed to attract economic growth in such areas. In this study, we introduce a new approach of selecting suitable location of satellite towns in fast growing cities. This approach uses Saaty Model and Geographic Information Systems techniques, whereby a pair wise comparison matrix, consistency index and consistency ratio are employed to determine suitable locations of satellite towns in Ubungo and Kinondoni Municipalities. Also, seven criteria were used to produce suitability maps for water, power line, road, communication line, elevation, slope and land use. The results obtained from this study show that about 5.31% of the area was classified as highly suitable, 29.82% as moderately suitable, 24.27% as marginally suitable and 40.6% permanently unsuitable. Locations of satellite towns determined using Saaty model was found to be on highly suitable areas whereas locations of satellite towns proposed by the Dar es Salaam master plan were located on marginally suitable areas. The study concludes that Saaty Model, if integrated with GIS, can be effectively used to determine suitable locations for satellite towns in urban areas.
Highlights
We introduce a new approach of selecting suitable location of satellite towns in fast growing cities
Locations of satellite towns determined using Saaty model was found to be on highly suitable areas whereas locations of satellite towns proposed by the Dar es Salaam master plan were located on marginally suitable areas
According to the study conducted by the Confederation of Tanzanian Industries (CTI) in 2010, it was revealed that traffic congestion reduced the profit of the business community in the City by 20 per cent [4]
Summary
Dar es Salaam is one of the fastest-growing cities in Sub-Saharan Africa with a population growth rate of 4.5% per year. One of the major causes of poor provision of basic services, infrastructure and affordable housing is the rapid population increase in the City. Rural to urban migration causes uncontrolled urban expansion, increase of unplanned settlements, and poor provision of social services. [5] identifies three major reasons for rural to urban migration, which includes psychological, social-economic and political pressure. Rural to urban migration has lead to high unemployment in the City and shortage of social services, causing economic decline in rural areas as manpower is not fully utilized in rural areas. Failure in implementing prepared urban plans in most urban areas in the country resulted into formation of informal settlements including Dar es Salaam City. The objective of the satellite town is to decongest Dar es Salaam City centre, improve social, infrastructure, economic and environmental services to the community
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Journal of Data Analysis and Information Processing
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
