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Scheduling with mixed fleets to improve the feasibility of electric minibus taxis: A case scenario of South Africa.

Authors :
Pretorius, B.G.
Wüst, J.
Strauss, J.M.
Bekker, J.
Booysen, M.J.
Source :
Journal of Cleaner Production. Sep2024, Vol. 472, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

The path to electrification of the informal and organic transport sector – minibus taxis in South Africa's case – is fraught with challenges. These stem mainly from shorter ranges and slower re-energising of electric vehicles, compounded by their unscheduled nature and day-variant routing. However, the transformation also presents opportunities for improving infrastructure and vehicle utilisation. Planning for electrification becomes a complex spatio-temporal interdependence between mobility, infrastructure (civil and electrical), vehicle specifics, and driver behaviour. This paper evaluates two scenarios using mixed fleet analysis: (1) striving to achieve the same mobility patterns with equal-sized electric vehicles and (2) scheduling for passenger demand, which was extracted from existing mobility patterns. The paper's main contributions lie in a proposed method to bridge the gap between these two scenarios through trip extraction, as well as introducing the concept of mixed fleets as a way to achieve electrification in the paratransit industry. The results show that using passenger demand to place the charging infrastructure and schedule the vehicles and their charging, results in a reduced number of vehicles, a higher proportion of electric vehicles in the fleet, a reduced number of chargers required, a reduced grid impact, and only a fractional increase in total fleet distance covered. Consequently, we propose to leverage the transformational opportunity presented by electrification to structure sub-Saharan Africa's paratransit. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09596526
Volume :
472
Database :
Academic Search Index
Journal :
Journal of Cleaner Production
Publication Type :
Academic Journal
Accession number :
179602131
Full Text :
https://doi.org/10.1016/j.jclepro.2024.143512