A Comparison of LRT with an Imaginary BRT System in Performance: Bursa Example
The increasing usage of private vehicles causes serious environmental, social and economic problems necessitating efficient transit systems for big cities in all over the world. Appropriate transit systems require consideration of a variety of service quality criteria. Among them, speed, comfort, economy and safety are the most important ones. Considering characteristics and demand of existing light rail transit system (LRT) of Bursa, Turkey, bus rapid transit (BRT) system, comparatively as a cheaper alternative, is investigated in this study to realize how it would have provided competitive service quality in terms of comfort, capacity and operational cost. First, the existing LRT is evaluated with the current demand. Then, as if it were replaced with an imaginary BRT system, how the BRT system would have responded to the existing demand in terms of capacity and comfort are examined. All models are developed in PTV VISSIM simulation environment. The results are compared and important finding are outlined.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/2213624X
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Supplemental Notes:
- © 2019 Published by Elsevier Ltd on behalf of World Conference on Transport Research Society. Abstract reprinted with permission of Elsevier.
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Authors:
- Rizelioğlu, Mehmet
- Arslan, Turan
- Publication Date: 2020-3
Language
- English
Media Info
- Media Type: Web
- Features: Figures; References; Tables;
- Pagination: pp 135-142
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Serial:
- Case Studies on Transport Policy
- Volume: 8
- Issue Number: 1
- Publisher: Elsevier
- ISSN: 2213-624X
- Serial URL: http://www.sciencedirect.com/science/journal/2213624X
Subject/Index Terms
- TRT Terms: Bus rapid transit; Light rail transit; Public transit; Quality of service
- Geographic Terms: Bursa (Turkey)
- Subject Areas: Planning and Forecasting; Public Transportation;
Filing Info
- Accession Number: 01696113
- Record Type: Publication
- Files: TRIS
- Created Date: Feb 26 2019 9:39AM