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