全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

Optimization Model for School Transportation Based on Supply-Demand Analyses

DOI: 10.4236/jsea.2019.126013, PP. 215-225

Keywords: School Transport, Model Optimization, Supply-Demand, Travel to School

Full-Text   Cite this paper   Add to My Lib

Abstract:

This paper presents a new conception model of school transportation supply-demand ratio (STSDR) in order to define the number of school buses needed in a limited area and to describe the conditions of school transport system. For this purpose, a mathematical equation was elaborated to simulate the real system based on the school transport conditions and on the estimated results of STSDR from 15 zones of Cuenca city in Ecuador. The data used in our model was collected from several diverse sources (i.e. administrative data and survey data). The estimated results have shown that our equation has described efficiently the school transport system by reaching an accuracy of 96%. Therefore, our model is suitable for statistical estimation given adequate data and will be useful in school transport planning policy. Given that, it is a support model for making decisions which seek efficiency in supply and demand balance.

References

[1]  Rodrigue, J.-P. (2017) The Geography of Transport System. Routledge, New York, 440.
[2]  Ibeas, A., Moura, J.L. and dell’Olio, L. (2009) Planning School Transport: Design of Routes with Flexible School Opening Times. Transportation Planning and Technology, 32, 527-544.
https://doi.org/10.1080/03081060903374734
[3]  Florian, M. and Gaudry, M. (1980) A Conceptual Framework for the Supply Side in Transportation Systems. Transportation Research Part B: Methodological, 14, 1-8.
https://doi.org/10.1016/0191-2615(80)90029-6
[4]  De Witte, A., Macharis, C., Lannoy, P., Polain, C., Steenberghen, T. and Van de Walle, S. (2006) The Impact of “Free” Public Transport: The Case of Brussels. Transportation Research Part A: Policy and Practice, 40, 671-189.
https://doi.org/10.1016/j.tra.2005.12.008
[5]  Spada, M., Bierlaire, M. and Liebling, T.M. (2005) Decision-Aiding Methodology for the School Bus Routing and Scheduling Problem. Transportation Science, 39, 443-556.
https://doi.org/10.1287/trsc.1040.0096
[6]  Schlossberg, M., Greene, J., Phillips, P.P., Johnson, B. and Parker, B. (2006) School Trips: Effects of Urban Form and Distance on Travel Mode. Journal of the American Planning Association, 72, 337-346.
https://doi.org/10.1080/01944360608976755
[7]  Newton, R.M. and Thomas, W.H. (1974) Bus Routing in a Multi-School System. Computers & Operations Research, 1, 213-222.
https://doi.org/10.1016/0305-0548(74)90047-1
[8]  Ezquerro Eguizábal, S., Moura Berodia, J.L., Ibeas Portilla, á. and Benavente Ponce, J. (2018) Optimization Model for School Transportation Design Based on Economic And Social Efficiency. Transport Policy, 67, 93-101.
[9]  Wu, C., Pei, Y. and Gao, J. (2015) Model for Estimation Urban Transportation Supply-Demand Ratio. Mathematical Problems in Engineering, 2015, Article ID: 502739.
https://doi.org/10.1155/2015/502739
[10]  Dusa, A., Nelie, D., Stock, G. and Wagner, G. (2014) Administrative Data: Problems and Benefits. A Perpective from the United Kingdom. Facing the Future: European Research Infrastructure for the Humanities and Social Sciences.
[11]  O’Hara, A., Shattuck, R.M. and Goerge, R.M. (2016) Linking Federal Surveys with Administrative Data to Improve Research on Families. The Annals of the American Academy of Political and Social Science, 669, 63-74.
https://doi.org/10.1177/0002716216678391
[12]  Sakshaug, J.W., Couper, M.P., Ofstedal, M.B. and Weir, D.R. (2012) Linking Survey and Administrative Records: Mechanisms of Consent. Sociological Methods & Research, 41, 535-569.
https://doi.org/10.1177/0049124112460381

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133