High fidelity estimates of paratransit energy consumption from per-second GPS tracking data
Paratransit, in particular the minibus taxi, is the mainstay of public transport in sub-Saharan Africa. These vehicles are often second-hand, ageing, fuel inefficient, and expensive to operate - issues that electrification can ameliorate. However, modeling and planning large-scale transitions to ele...
| Main Authors: | , , , , |
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| Format: | Journal article |
| Language: | English |
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Elsevier
2023
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| _version_ | 1797110223209496576 |
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| author | Hull, C Giliomee, JH Collett, KA McCulloch, MD Booysen, MJ |
| author_facet | Hull, C Giliomee, JH Collett, KA McCulloch, MD Booysen, MJ |
| author_sort | Hull, C |
| collection | OXFORD |
| description | Paratransit, in particular the minibus taxi, is the mainstay of public transport in sub-Saharan Africa. These vehicles are often second-hand, ageing, fuel inefficient, and expensive to operate - issues that electrification can ameliorate. However, modeling and planning large-scale transitions to electric paratransit require reliable estimates of vehicle energy consumption. This paper provides such estimates by applying a vehicle kinetic model to per-second GPS data gathered on minibus taxis. Data include 62 trips across three routes with different driving conditions near Stellenbosch, South Africa. We find a range of energy consumption from 0.29 to 0.51 kWh/km (mean = 0.39 kWh/km). Past estimates in literature relied on per-minute GPS data, which we show leads to inaccurate energy consumption estimates. We recommend new kWh/km values for modeling vehicle operations and grid impact, and discuss how future work can utilize our analysis to advance the transition to electric paratransit sub-Saharan Africa. |
| first_indexed | 2024-03-07T07:52:07Z |
| format | Journal article |
| id | oxford-uuid:c8dca54b-36b0-4e43-93e3-45bf0ac0a67b |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T07:52:07Z |
| publishDate | 2023 |
| publisher | Elsevier |
| record_format | dspace |
| spelling | oxford-uuid:c8dca54b-36b0-4e43-93e3-45bf0ac0a67b2023-07-19T15:46:25ZHigh fidelity estimates of paratransit energy consumption from per-second GPS tracking dataJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:c8dca54b-36b0-4e43-93e3-45bf0ac0a67bEnglishSymplectic ElementsElsevier2023Hull, CGiliomee, JHCollett, KAMcCulloch, MDBooysen, MJParatransit, in particular the minibus taxi, is the mainstay of public transport in sub-Saharan Africa. These vehicles are often second-hand, ageing, fuel inefficient, and expensive to operate - issues that electrification can ameliorate. However, modeling and planning large-scale transitions to electric paratransit require reliable estimates of vehicle energy consumption. This paper provides such estimates by applying a vehicle kinetic model to per-second GPS data gathered on minibus taxis. Data include 62 trips across three routes with different driving conditions near Stellenbosch, South Africa. We find a range of energy consumption from 0.29 to 0.51 kWh/km (mean = 0.39 kWh/km). Past estimates in literature relied on per-minute GPS data, which we show leads to inaccurate energy consumption estimates. We recommend new kWh/km values for modeling vehicle operations and grid impact, and discuss how future work can utilize our analysis to advance the transition to electric paratransit sub-Saharan Africa. |
| spellingShingle | Hull, C Giliomee, JH Collett, KA McCulloch, MD Booysen, MJ High fidelity estimates of paratransit energy consumption from per-second GPS tracking data |
| title | High fidelity estimates of paratransit energy consumption from per-second GPS tracking data |
| title_full | High fidelity estimates of paratransit energy consumption from per-second GPS tracking data |
| title_fullStr | High fidelity estimates of paratransit energy consumption from per-second GPS tracking data |
| title_full_unstemmed | High fidelity estimates of paratransit energy consumption from per-second GPS tracking data |
| title_short | High fidelity estimates of paratransit energy consumption from per-second GPS tracking data |
| title_sort | high fidelity estimates of paratransit energy consumption from per second gps tracking data |
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