2016
DOI: 10.17159/2309-8775/2016/v58n4a1
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A comparative evaluation of the impact of average speed enforcement (ASE) on passenger and minibus taxi vehicle drivers on the R61 in South Africa

Abstract: Ebot Eno Akpa NA, Booysen MJ, Sinclair M. A comparative evaluation of the impact of average speed enforcement (ASE) on passenger and minibus taxi vehicle drivers on the R61 in South Africa. J. S. Afr. Inst. Civ. Eng. 2016;58(4), Art. #1255, 9 pages. http://dx

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Cited by 12 publications
(3 citation statements)
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“…We plotted an overlay heatmap showing the intensity variation of minibus taxi activity (based on the count of GPS data points) as shown in Figure 1.1. We could see four high-intensity areas: Stellenbosch, Kraaifontein, Mitchells Plain and Somerset West, which we interpreted as the epicentres of minibus taxi activity, a view that closely corroborates with the areas identified by an earlier study [52].…”
Section: Visual Inspection Of Raw Gps Datasupporting
confidence: 88%
See 1 more Smart Citation
“…We plotted an overlay heatmap showing the intensity variation of minibus taxi activity (based on the count of GPS data points) as shown in Figure 1.1. We could see four high-intensity areas: Stellenbosch, Kraaifontein, Mitchells Plain and Somerset West, which we interpreted as the epicentres of minibus taxi activity, a view that closely corroborates with the areas identified by an earlier study [52].…”
Section: Visual Inspection Of Raw Gps Datasupporting
confidence: 88%
“…This is because some taxis start long-distance weekend trips on Friday evenings. [52,61]. The mean energy required per day was 212 kWh, and the mean distance was 228 km.…”
Section: Energy Demandmentioning
confidence: 99%
“…Not only is this profile clearly defined, but the variation between taxis, shown by the minimum and maximum profiles in the shaded area, is minimal. The only substantial deviation is the increase in the maximum profile just after 9:00 pm, which results from the long-distance journeys over weekends (departing at 9:00 pm on Friday evenings) and holidays, as reported by Ebot Eno Akpa et al (2016). This profile indicates the energy demand profile requirements of the eMBTs, and already hints at substantial charging potential during the evening -probably from grid power -and during the middle of the day -preferably from solar power.…”
Section: Energy Analysismentioning
confidence: 92%