Time–space analysis to evaluate cell-based quality of service in bus rapid transit station platforms through passenger-specific area
Autor: | Jayatilake, Sewmini, Bunker, Jonathan M., Bhaskar, Ashish, Miska, Marc |
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Rok vydání: | 2021 |
Předmět: |
Computer science
Transportation 010501 environmental sciences Management Science and Operations Research Bus rapid transit 01 natural sciences Station platforms Transport engineering Quality of service Platform cell 0502 economics and business Other models Service levels Transit (satellite) Original Research 0105 earth and related environmental sciences 050210 logistics & transportation Measure (data warehouse) Mechanical Engineering 05 social sciences Time–space analysis Time space Service level Passenger-specific area R15 econometric and input–output models Information Systems Cell based |
Zdroj: | Public Transport |
ISSN: | 1613-7159 1866-749X |
DOI: | 10.1007/s12469-021-00267-z |
Popis: | It is important to evaluate the quality of service (QoS) of bus rapid transit (BRT) station platform operation. Passenger-specific area (PSA) is used as a QoS measure which is determined by considering passenger activities separately. As passengers perform various activities on the same platform space, there is a need to evaluate BRT platform QoS by considering the activities collectively. When evaluating transit station platforms, many researchers calculated PSA for the whole platform area, while very few researchers highlighted the importance of evaluating the platform as small, partitioned areas. By considering these findings and gaps in the literature, this study evaluates QoS of the platform on a cell by cell basis using PSA. We use time–space analysis and passenger-minutes of each activity to develop a methodology to determine PSA, by considering stationary passengers, circulating passengers, and passengers overall. To evaluate platform QoS, we define threshold service levels using passenger-minutes of activities and Fruin’s QoS criteria. For the case study BRT station, we find that PSA varies significantly between platform cells. It is evident from the results that it is important to identify highly congested areas in the platform and apply measures to improve platform QoS. |
Databáze: | OpenAIRE |
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