PERFORMANCE EVALUATION OF ROAD NETWORK: A CASE STUDY OF AYAT-MEGENAGNA ROADS OF ADDIS ABABA CITY

[ 31 Dec 2020 | vol. 8 | no. 2 | pp. 1-14 ]

About Authors:

Yalelet E1, Madiha Bencekri2 and Ku Dong-gyun3*
-1Department of Contract Administration and Construction Supervision, Traffic Management Agency, Addis Ababa, Ethiopia
-2,3Department of Transportation Engineering, University of Seoul, South Korea

Abstract:

When a city expands in area, when the people and vehicles it contains increase in number, and when the economic and social value of its inhabitants rise; new roads have to be built, built roads have to be expanded, and the overall level of service (LOS) of transportation system has to be equitably enhanced. However, there is no universally accepted optimal peak threshold for the expansion of roads in a city. This paper has undertaken network analysis in the capital city of Ethiopia, Addis Ababa using general and detail indexes, and a comparison of these indexes was made to standards and other cities. Addis Ababa has been expanding the supply of road networks to accommodate the fast-growing transportation demand in the city for the past two decades (ERA RSDP, 2013). However, the transportation system of the city is increasingly becoming inconvenient for road users as a result of the less coverage of available roads and the less connected road network. Low-capacity road-networks, poor modal-coordination, inefficient traffic-management, and depraved road-users characterizes the existing transportation condition of Addis Ababa. However, determining the extent to which the road is inefficient (lack of rate of connectedness, accessibility, and mobility) can help determine the degree by which infrastructure developers invest on the network and balance an unequitable distribution of the road.
A four-step transport modeling was conducted on a small corridor, Megenagna-Ayat junctions. Following the four-step modeling, network analysis was undertaken using QGIS and CAD Mapper. Network analysis indices, such as road density index, road performance index, traffic load index, road serviceability index, road connectivity index, mobility index, accessibility index, and travel time index (TTI) were determined for the study area. A comparison was then made with standards and cities. Results of the paper technically explained the less road-coverage of the city using indexes relative to the number of vehicles, people, and service usage. Last, a recommendation was forwarded to future researchers on the area for a further analysis using detailed data.

Keywords:

LOS, TAZ, 4SM, Accessibility, Connectivity, Mobility, QGIS, ORS

 

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