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Planning for Metro Transit Transportation System a simplified Approach: A Case Study of Ruwi City Center in Muscat
( Vol-3,Issue-6,June 2017 )


Amjad Saleem Aamir Al Khayari, N. Srinivasa Reddy


Public transit demand estimation, Planning for Metro Transit system, Travel patterns, Transit Planning at CBD.


Currently Muscat the capital city of Oman is suffering from many traffic and transported related problems. Some of the serious concerns are high vehicle ownerships, low occupancy in personalized vehicles and poor patronization towards public transportation systems. Ruwi is the City center and a major Central Business District in Muscat. More than one million commuters daily visit Ruwi City center for their day to day business. The common transportation related problems often reported by the citizens at Ruwi CBD, are traffic congestion, over speeding of vehicles, inadequacy of parking places and pedestrian safety. All such problems can be eliminated by providing efficient public transportation system by restricting the entry of personal vehicles and para transit. In this technical paper, panning and designing of public transit facility by metro transport facility is attempted by capturing land use and travel information of daily commuters at Ruwi CBD area. An extensive literature review is carried for establishing the bench marking while planning metro transit system. For this the CBD area is cordoned and divided into traffic analysis zones based on the land use characteristics. Travel information of the commuter is estimated through interviewing them at the CBD entry gateway points and work locations. Land use characteristics are captured through reconnaissance of the area and random inspection of land parcels. Land use Information captured through the Google images and physical verification of data of the selected sample land parcels helped in estimation and characterization of the land use. Questionnaire survey at the activity centers helped in estimation of total trips attracted by the land uses. Travel characteristics, derived through the personal interviews of the commuters, facilitated for the estimation of total trips. Trip factors for different land uses are derived. Total trips generated are quantified and is used in planning of Metro Transit facility at the Ruwi city center. Commuter circulation pattern for the metro transit is also scheduled. Also it is proposed to carry extensive literature for establishing bench mark while planning the transit system.

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[1] Advani, M. &Tiwari, G., 2005, Evaluation of Public Transport Systems: Case Study of Delhi Metro. Transportation Research & Injury Prevention Programme.[e-journal].8(1).p.1=8. Available from: http://tripp.iitd.ernet.in/publications/paper/planning/mukti_metro_kharagpur_05.pdf [Accessed on 13 May 2017]
[2] Ashalatha, R., Manju, V., and Zacharia, A.2013. Mode Choice Behavior of Commuters in Thiruvananthapuram City. Journal of Transportation Engineering.[e-journal]. 139(5).p.494-502.Availablefrom: http://ascelibrary.org/doi/abs/10.1061/(ASCE)TE.1943-5436.0000533. [Accessed:12th November 2016].
[3] Belwal, R., 2010, Public Transportation Services in Oman: A Study of Public Perceptions. Journal of Public Transportation. [e-journal]. 13(4).p.1-21. Available from: http://scholarcommons.usf.edu/cgi/viewcontent.cgi?article=1165&context=jpt [Accessed on 16 May 2017]
[4] Ben-Akiva, M. & Lerman, S.R., 1985, Discrete Choice Analysis: Theory and Application to Travel Demand. Cambridge, MA: MIT Press. [e-journal]. Available from: https://mitpress.mit.edu/books/discrete-choice-analysis [Accessed on 17 May 2017]
[5] Hossain, M., 2003, Shaping up of urban transport system of a developing metropolis in absence of proper management setup: the case of Dhaka. Journal of Civil Engineering (IEB), [e-journal].32 (1) .p.47-58 Available from : http://www.jce-ieb.org/pdfdown/ce320104.pdf [Accessed on 17 May 2017]
[6] Jaiswal, A. A. & Sharma, A. , 2012. Optimization of Public Transport Demand: A Case Study of Bhopal. International Journal of Scientific and Research Publications.[e-journal]. 2 (7).p. 1-16.Available from: http://www.ijsrp.org/research_paper_jul2012/ijsrp-july-2012-81.pdf. [Accessed:10th Noveember 2016]
[7] Jaiswal, A. A., Sharma, A. & Bisaria, J., 2012. Estimation of Public Transport Demand in Million Plus Indian Cities based on Travel Behavior. International Journal of Engineering and Advanced Technology (IJEAT)[e-journal]. 2 (1).p. 249-254.Available from: http://www.oalib.com/paper/2089116#.WFDbu9J96Ul. [Accessed:13th November 2016].
[8] Kohansal, R.M., 2013, Estimation of Passenger Rail Demand Function in Tehran Province by using Ols Method. Journal of Economics and Management. [e-journal]. 4(7).p.50-58. Available from: http://prj.co.in/setup/business/paper423.pdf[Accessed on 14 May 2017]
[9] Kumar, M. & Rao, K. V. K., 1997. Location and Travel Choice Models for the Cities of Developing Countries Countries. Department of Civil Engineering.[e-journal]. 1-10.Available from: http://www.codatu.org/wp-content/uploads/Location-and-travel-choice-models-for-the-cities-of-developing-countries-M.-Kumar -KV-KRISHNA-RAO.pdf. [Accessed:13th November 2016]
[10] Montview, R. & Putcha, S.C., 2014, Optimal Integrated planning of a Public Transit System. International Journal of Engineering Research and General Science. [e-journal]. 2(2).p.23-32. Available from: http://ijergs.org/files/documents/Optimal-Integrated-planning2.pdf [Accessed on 12 May 2017]
[11] Muthukannan, M. & Thirumurthy, A., 2008, Modeling for Optimization of Urban Transit System Utility: A Case Study. Journal of Engineering and Applied Sciences. [e-journal]. 3(2).p.71-74. Available from: https://www.arpnjournals.com/jeas/research_papers/rp_2008/jeas_0408_97.pdf[Accessed on 19 May 2017]
[12] Navya, S. V. et al., 2013. Trip Generation Model for the Core Area of Thiruvananthapuram City. International Journal of Innovative Research in Science, Engineering and Technology. [e-journal]. 2 (1).p. 99-106.Available from: http://www.rroij.com/open-access/trip-generation-model-for-the-core-area-ofthiruvananthapuram-city.pdf. [Accessed:10th November 2016].
[13] Niger, M., 2013, Deficiencies of existing public transport system and a proposal for integrated hierarchical transport network as an improvement options: a case of Dhaka city. Journal of Mechanical and Civil Engineering. [e-journal]. 5(5).p.42-53. Available from : http://www.iosrjournals.org/iosr-jmce/papers/vol5-issue5/F0554253.pdf?id=2461[Accessed on 15 May 2017]
[14] Olivkova, I., 2011, Quality Standards for Measuring the Level of Service In Public Transport. International Journal of Engineering Research and General Science. [e-journal]. 6(5).p.229-235. Available from: http://pernerscontacts.upce.cz/24_2011/Olivkova.pdf [Accessed on 14 May 2017]