Considering sustainability in the planning of transit systems: Istanbul case
Traditionally, minimization of the total travel time spent by the passenger in the system is the most preferred objective while planning transit systems. To satisfy this objective, forecasted travel demands between zones and characteristics of the available fleet are taken into account, and at the end of the planning process, optimum frequencies of each of the transit lines are identified. Unfortunately, this planning approach is not sufficient as the negative effects of the global warming are growing each day. Fossil fuels are the primary energy sources for transport systems and accordingly, the emission of the greenhouse gases especially carbon dioxide is accredited to this industry. Hence, it is impossible to ignore environmental requirements in the transit planning phase. In this study, the authors developed a bi-level and bi-objective optimization model to identify the optimum line frequencies. One of the objectives is to minimize the mean travel time of the passengers. The other objective is to minimize the total emission. A genetic algorithm is developed to solve this mathematical programming problem. A large instance related to Istanbul transit system involving 39 zones and 463 bus lines is solved with this solution method and results are elaborated.
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Availability:
- Find a library where document is available. Order URL: http://www.witpress.com/978-1-84564-716-2.html
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Supplemental Notes:
- Abstract reprinted with permission from WIT Press.
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Corporate Authors:
Ashurst Lodge
Ashurst, Southampton United Kingdom SO40 7AA -
Authors:
- Buran, B
- Feyzioğlu, O
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Conference:
- 19th International Conference on Urban Transport and the Environment
- Location: Kos , Greece
- Date: 2013-5-29 to 2013-5-31
- Publication Date: 2013
Language
- English
Media Info
- Media Type: Web
- Features: Figures; References; Tables;
- Pagination: 12p
- Monograph Title: Urban Transport XIX
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Serial:
- WIT Transactions on the Built Environment
- Issue Number: 130
- Publisher: Wessex Institute of Technology
- ISSN: 1743-3509
- Serial URL: http://library.witpress.com/pages/listBooks.asp?tID=2
Subject/Index Terms
- TRT Terms: Exhaust gases; Genetic algorithms; Minimization; Optimization; Public transit; Sustainable transportation; Transportation planning; Travel time
- Uncontrolled Terms: Service frequency
- Geographic Terms: Istanbul (Turkey)
- Subject Areas: Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning;
Filing Info
- Accession Number: 01494765
- Record Type: Publication
- ISBN: 9781845647162
- Files: TRIS
- Created Date: Sep 30 2013 1:59PM