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      Why taxi tracking trumps tracking passengers with apps in planning for the electrification of Africa’s paratransit

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          Summary

          Decarbonisation of Africa’s informal paratransit through electrification requires adequate data captured correctly. Field workers getting on-board as passengers with tracked phones are extensively used to measure flow rates and volumes of passengers and vehicles on sections of roads in transport planning applications. Although this method is acceptable for transport planning, it is inadequate for planning for electrification. Combustion engine vehicles have long ranges and refill fast. Drivers and fuel outlets have existed in a symbiotic relationship without the bondage of needing detailed mobility information and planning. With electrification, battery-powered vehicles have become inextricably coupled to roadside infrastructure through their mobility patterns. We compare the current state of public transport data with vehicle tracking data for forecasting the electrification of Africa’s paratransit. Discrepancies between them highlight the problem with using incomplete and/or unreliable data to estimate a city’s peak load, pointing to a need for vehicle-based data acquisition.

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          Highlights

          • Energy forecasting for paratransit electrification planning of seven African cities

          • Energy needs per city vary wildly, with the reliability of the city’s GTFS data

          • Discrepancies highlight the problem with using unreliable transport data

          • Public transport data (GTFS) is not suitable for electrification planning

          • Vehicle-based GPS data should be used for electrification planning of paratransit

          Abstract

          Energy resources; Energy policy; Energy Modeling; Energy transportation

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          Informal transport: A global perspective

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            Motorcycle-taxis in sub-Saharan Africa: Current knowledge, implications for the debate on “informal” transport and research needs

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              Travel behaviour in Ghana: empirical observations from four metropolitan areas

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                Author and article information

                Contributors
                Journal
                iScience
                iScience
                iScience
                Elsevier
                2589-0042
                18 August 2022
                16 September 2022
                18 August 2022
                : 25
                : 9
                : 104943
                Affiliations
                [1 ]Department of E&E Engineering, Stellenbosch University, South Africa
                [2 ]Department of Industrial Engineering, Stellenbosch University, South Africa
                Author notes
                []Corresponding author rix@ 123456sun.ac.za
                [∗∗ ]Corresponding author 24540463@ 123456sun.ac.za
                [∗∗∗ ]Corresponding author mjbooysen@ 123456sun.ac.za
                [3]

                Lead contact

                Article
                S2589-0042(22)01215-9 104943
                10.1016/j.isci.2022.104943
                9437852
                36060060
                57cff1ac-644f-4329-87ec-9fecd867a0d2
                © 2022 The Author(s)

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 1 March 2022
                : 7 July 2022
                : 11 August 2022
                Categories
                Article

                energy resources,energy policy,energy modeling,energy transportation

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