A decision support model for passenger capacity design of BRT stations

Engelbrecht, L. ; Bekker, J. (2012)

CITATION: Engelbrecht, L. & Bekker, J. 2012. A decision support model for passenger capacity design of BRT stations. South African Journal of Industrial Engineering, 23(1):162-177, doi:10.7166/23-1-228.

The original publication is available at http://sajie.journals.ac.za

Article

In this paper, a decision support model for capacity planning of bus rapid transit stations is proposed. Static, deterministic models are used at present for station capacity design, whereas bus passenger flow through stations is dynamic with an associated stochastic element. Passenger arrivals vary over time, and are driven by bus schedules and process variation. The proposed model produces capacity design curves for given input data sets and bus schedules, and assists the station designer without being prescriptive. A case study of model application to the proposed Thibault Station in Cape Town, South Africa, is presented.

'n Besluitsteunmodel vir kapasiteitsbeplanning van sneldiensbusstasies word in hierdie artikel voorgehou. Tans word statiese, deterministiese modelle gebruik vir stasie-kapasiteitsontwerp, terwyl passasiersvloei deur busstasies dinamies is met n stochastiese element. Passasiersaankomste varieer oor tyd en word bepaal deur busskedules en proses-variasie. Die voorgestelde model lewer kapasiteitontwerpkurwes vir gegewe insetdata en busskedules en ondersteun die stasieontwerper sonder om voorskriftelik te wees. Die toepassing van die model word gelustreer met behulp van n gevallestudie by die beplande Thibault-stasie in Kaapstad, Suid-Afrika.

Please refer to this item in SUNScholar by using the following persistent URL: http://hdl.handle.net/10019.1/21480
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