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The influence of passenger load, driving cycle, fuel price and different types of buses on the cost of transport service in the BRT system in Curitiba, Brazil
KTH, School of Industrial Engineering and Management (ITM), Energy Technology.ORCID iD: 0000-0002-0437-2093
KTH, School of Industrial Engineering and Management (ITM), Energy Technology.ORCID iD: 0000-0001-7123-1824
KTH, School of Industrial Engineering and Management (ITM), Energy Technology.ORCID iD: 0000-0002-0033-9982
Federal University of Technology – Paraná (UTFPR), Curitiba, Brazil.
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2018 (English)In: Transportation, ISSN 0049-4488, p. 1-48Article in journal (Refereed) Published
Abstract [en]

This study analyses the influence of passenger load, driving cycle, fuel price and four different types of buses on the cost of transport service for one bus rapid transit (BRT) route in Curitiba, Brazil. First, the energy use is estimated for different passenger loads and driving cycles for a conventional bi-articulated bus (ConvBi), a hybrid-electric two-axle bus (HybTw), a hybrid-electric articulated bus (HybAr) and a plug-in hybrid-electric two-axle bus (PlugTw). Then, the fuel cost and uncertainty are estimated considering the fuel price trends in the past. Based on this and additional cost data, replacement scenarios for the currently operated ConvBi fleet are determined using a techno-economic optimisation model. The lowest fuel cost ranges for the passenger load are estimated for PlugTw amounting to (0.198–0.289) USD/km, followed by (0.255–0.315) USD/km for HybTw, (0.298–0.375) USD/km for HybAr and (0.552–0.809) USD/km for ConvBi. In contrast, the coefficient of variation (Cv'>C v  Cv) of the combined standard uncertainty is the highest for PlugTw (Cv'>C v  Cv: 15–17%) due to stronger sensitivity to varying bus driver behaviour, whereas it is the least for ConvBi (Cv'>C v  Cv: 8%). The scenario analysis shows that a complete replacement of the ConvBi fleet leads to considerable higher cost of transport service on the BRT route, amounting to an increase by 64% to 139%, depending on the bus fleet composition. Meanwhile, the service quality is improved resulting in 42% up to 64% less waiting time for passengers at a bus stop.

Place, publisher, year, edition, pages
2018. p. 1-48
Keywords [en]
Bi-articulated, Driving pattern, Fuel consumption, Optimization, Ridership, Service quality
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:kth:diva-246190DOI: 10.1007/s11116-018-9925-0Scopus ID: 2-s2.0-85053835267OAI: oai:DiVA.org:kth-246190DiVA, id: diva2:1296438
Funder
Vinnova
Note

QC 20190318

Available from: 2019-03-15 Created: 2019-03-15 Last updated: 2019-03-18Bibliographically approved

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Silveira, SemidaKhatiwada, Dilip

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