Teshome, Eyob (2006) A GIS-Based Bicycle Suitability Study in Addis Ababa. Masters thesis, Addis Ababa University.
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Abstract
Various local is international organizations are located in Addis Ababa and hence high level of mobility is existing in the city that demands various forms of transportations. Automobile is the most common form of transportation mechanism in the city. However there is high traffic congestion with greater impact on the day to day activity of the metropolis. This study considers the suitability of cycling as additional means of transportation. In order to do this around 9048 streets in Addis Ababa are evaluated to find out the best road for cycling. Factors such as slope, traffic density and pavement surface condition were considered to assess the suitability of roads for bicycle. The study was conducted in two steps. The first step involved evaluation of the entire roads of the city. When considering all factors, the result indicated that riders can use bicycle only on 9% of the roads. The data analysis showed that the factor ‘pavement surface’ condition was the most infantile to limit the suitability of roads for cycling. Using this factor alone about 65% of the total roads is found to be unsuitable. As an attempt for detail study the second step considered only five roads among the total 9048 streets. The roads are selected from Arada sub-city where there exists high traffic density and people with different socio economic background. The detail analysis again considered the same three factors and the result indicated that the route running to Gullele found to be the best as its slope, traffic condition and pavement surface condition is suitable for cycling. In contrast the road that runs to Art Kilo is the worst because of the traffic density and pavement surface condition.
| Item Type: | Thesis (Masters) |
|---|---|
| Subjects: | Q Science > QE Geology T Technology > T Technology (General) |
| Divisions: | Africana |
| Depositing User: | Selom Ghislain |
| Date Deposited: | 04 Oct 2018 12:13 |
| Last Modified: | 04 Oct 2018 12:13 |
| URI: | http://thesisbank.jhia.ac.ke/id/eprint/6732 |
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