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Kenya Transport-Energy Futures

Authors: Dixon, James; Pierard Manzano, Elena; Onjala, Joseph; Mwanzia, Patrick; Ondanje, Warren; Brand, Christian;

Kenya Transport-Energy Futures

Abstract

The Kenya Transport-Energy Futures (KTEF) project aims to develop decision support tools to assist policymakers at county, national and international scales in testing out credible futures of the transport-energy system given different policy and scenario pathways. The future of the transport system, and that of the wider energy system in which it is enveloped, will determine Kenya’s ability to meet its targets in economic development [1] and climate mitigation [2]. These transport-energy futures are outcomes of a complex web of systems; they are driven by policy in the transport-energy sector and across the wider economy, and wider changes in society that cannot directly be controlled (including socio-economic changes, such as changes in a population’s age distribution, and broader shifts in travel demand, such as a population’s propensity for leisure travel). In developing decision support tools, a strategic transport-energy systems model, the Transport Energy Air pollution Model (TEAM) [3], has been adapted to the Kenyan case from the UK case in which it was originally developed. [1] Government of Kenya, “Vision 2030,” 2008. https://vision2030.go.ke/ [2] Government of Kenya, “Updated NDC,” 2021. https://unfccc.int/sites/default/files/NDC/2022-06/Kenya%27s First NDC %28updated version%29.pdf [3] C. Brand, J. Anable, and C. Morton, “Transport Energy and Air pollution Model (TEAM),” 2019. https://ukerc.ac.uk/project/team-model/ (accessed Feb. 04, 2022).

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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