Determining transit nodes for potential transit-oriented development: Along the LRT corridor in Addis Ababa, Ethiopia

Eden Atsbeha Teklemariam , Zhongwei Shen

Front. Archit. Res. ›› 2020, Vol. 9 ›› Issue (3) : 606 -622.

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Front. Archit. Res. ›› 2020, Vol. 9 ›› Issue (3) :606 -622. DOI: 10.1016/j.foar.2020.03.005
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Research Article

Determining transit nodes for potential transit-oriented development: Along the LRT corridor in Addis Ababa, Ethiopia

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Abstract

The aim of transit-oriented development (TOD) is to create a livable urban environment by improving the integration between land-use and transportation systems. The capital city of Ethiopia, Addis Ababa, aims to promote a sustainable transportation system by launching its first light rail transit (LRT) network to control the current pattern of increased congestion and the need for mass transport. Planning for TOD around existing transit stations helps achieve improved transit choice and encourages local economic development. Therefore, this article proposes a methodology to quantitatively measure the existing TOD in terms of a TOD index within the walkable distance of transit nodes by measuring the criteria that define TOD levels. The TOD index is calculated for areas of 22 stations on the East-West LRT line of Addis Ababa. Depending on the value of the TOD index, certain stations are identified to have a potential TOD but poor transit accessibility. With these results, the recommendation to improve TOD planning can become accurate for each station, depending on its relevant factors. Such results also help identify each station’s potential for TOD planning and its improvements toward future local developments.

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Accessibility / LRT / Transit / TOD / TOD index / Addis Ababa

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Eden Atsbeha Teklemariam, Zhongwei Shen. Determining transit nodes for potential transit-oriented development: Along the LRT corridor in Addis Ababa, Ethiopia. Front. Archit. Res., 2020, 9(3): 606-622 DOI:10.1016/j.foar.2020.03.005

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2020 Higher Education Press Limited Company. Production and hosting by Elsevier B.V. on behalf of KeAi. This is an open access article under the CC BY-NC-ND license (http:// creativecommons.org/licenses/by-nc-nd/4.0/).

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