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[1] Papaioannou, P., Basbas, S., & Vougioukas, M., The use of stated preference techniquein evaluating a passenger information system: The EuroBus/Popins/Thepis experience.Public Transport Planning and Operations. Proceedings of Seminar, Held at the PTRCEuropean Transport Forum, Brunel University: England, 1996.
[2] Basbas S., Stated preference surveys and the valuation of urban transport systems.Proceedingsof the 14th International Conference: Urban Transport and the Environmentin the 21st Century – Urban Transport XIV, ed. C.A. Brebbia, Vol. 101, Wessex Instituteof Technology, Transactions on the Built Environment, Malta, 1–3 September 2008,pp. 3–14.
[3] Hensher, D.A. & Button, J., Handbook of Transport Modeling, 3rd ed., Pergamon:Sydney,2000.
[4] TREDIT S.A., Users' Survey Design of the Services of TRAINOSE, Education ofResearchersand Data Analysis for the Project RAIL4SEE – Cities of Southeast Europeas Rail Links, Thessaloniki, 2014.
[5] Nikolaidou, N., Development of Binary Choice models for the case of a Suburban RailIn the City of Thessaloniki, Greece, Master Thesis, Interdepartmental Course ‘Design,Planning and Organization of Transport Systems’, Supervisor: Prof. Panos Papaioannou,Aristotle University of Thessaloniki, Greece, 2014.
[6] Dyer, C., Research in Psychology: A Practical Guide to Methods and Statistics, BlackwellPublishing: Hodoken, NJ, 2006.
[7] Basbas, S., Tetou, V. & Politis, I., Ordinal and binary logistic logit models for examinationof behavioral, infrastructure and perception factors influencing biking. Proceedingsof the 19th International Conference: Urban Transport and the Environment in the21st Century – Urban Transport XIX, ed. C.A. Brebbia, Vol. 130, Wessex Institute ofTechnology,WIT Transactions on the Built Environment, Kos, Greece, 29–31 May 2013,pp. 573–584.
[8] Ben-Akiva, M.E. & Lerman, S.R., Discrete Choice Analysis: Theory and Application toTravel Demand, Vol. 9. MIT press, 1985.
[9] Shumacher, R.E. & Lomax, R.G., A Beginner’s Guide to Structural Equation Modeling,2nd ed. London: Lawrence Erlbaum Associates, 2004.
[10] King, J.E., Standardized coefficients in logistic regression. Paper Presented at theAnnualMeeting of the Southwest Educational Research Association, San Antonio, TX,2007.
[11] Dunne, J.P., Elasticity measures and disaggregate choice models. Journal of TransportEconomics and Policy, XV111(2), pp. 189–197, 1984.
[12] Louviere, J.J., Hensher, D.A. & Swait, J., Stated Choice Methods, Cambridge:CambridgeUniversity Press, 2000
[13] Litman, T., Understanding Transport Demands and Elasticities: How Prices and OtherFactors Affect Travel Behavior. Canada: Victoria Transport Policy Institute, 2013.
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Acadlore takes over the publication of IJTDI from 2025 Vol. 9, No. 4. The preceding volumes were published under a CC BY 4.0 license by the previous owner, and displayed here as agreed between Acadlore and the previous owner. ✯ : This issue/volume is not published by Acadlore.

Open Access
Research article

Assessing the Potential for a New Suburban Rail: Do User Characteristics Matter?

s. basbas1,
a. nikolaidou2,
p. papaioannou2,
i. politis2
1
Faculty of Rural & Surveying Engineering, Aristotle University of Thessaloniki, Greece
2
Faculty of Civil Engineering, Aristotle University of Thessaloniki, Greece
International Journal of Transport Development and Integration
|
Volume 1, Issue 4, 2017
|
Pages 640-653
Received: N/A,
Revised: N/A,
Accepted: N/A,
Available online: 09-01-2017
View Full Article|Download PDF

Abstract:

This article examines the role user-specific characteristics can play on assessing a new public transit service. The case under consideration is the new Western Suburban Rail service in Thessaloniki, Greece, which will cover a suburban area. Binary logit models were developed in order to investigate the potential demand for this project. A revealed and stated preference questionnaire survey was conducted. The sample of the survey was stratified according to the three current travel options, namely car, regular-fare bus and low-fare bus. The revealed preference survey included questions about trip and socio-economic characteristics of each user. The stated preference part examined the potential for the new mode in comparison to the current travel modes through changes in travel cost, travel time and number of transfers. Six binary logit choice models were developed in total, two for each user group. For each group, a simplified model was initially calibrated only with the mode-specific variables; at a next step user-specific variables were added and a second extended model was created. The results show significant relationship of mode- and user-specific variables to the final choice for all the three user groups. Likelihood ratio tests were used to examine whether user-specific attributes improve the overall fit of the models or not, compared to traditional choice models of travel time, travel cost and number of transfers. The outcomes show that the inclusion of user-specific variables improved the overall fit and the explanatory power of the models.

Keywords: Choice models, Discrete choice models, Revealed and stated preference, Suburban rail, Time and cost elasticities

1. Introduction

2. Description of the Undertaken Research and the Descriptive Statistics Results

3. Development of the Choice Models

4. Model Results

5. Conclusions and Further Research

Data Availability

The data used to support the findings of this study are available from the corresponding author upon request.

Acknowledgments

The survey for the Thessaloniki suburban rail study was conducted within the framework of the ‘RAIL4SEE – Cities of South East Europe as rail links’ project co-funded by the European Union South Eastern Europe Transborder Program. The authors would like to express their sincere thanks to the Hellenic Institute of Transport, lead partner of the project consortium for the provision of the raw data.

Conflicts of Interest

The authors declare that they have no conflicts of interest.

References
[1] Papaioannou, P., Basbas, S., & Vougioukas, M., The use of stated preference techniquein evaluating a passenger information system: The EuroBus/Popins/Thepis experience.Public Transport Planning and Operations. Proceedings of Seminar, Held at the PTRCEuropean Transport Forum, Brunel University: England, 1996.
[2] Basbas S., Stated preference surveys and the valuation of urban transport systems.Proceedingsof the 14th International Conference: Urban Transport and the Environmentin the 21st Century – Urban Transport XIV, ed. C.A. Brebbia, Vol. 101, Wessex Instituteof Technology, Transactions on the Built Environment, Malta, 1–3 September 2008,pp. 3–14.
[3] Hensher, D.A. & Button, J., Handbook of Transport Modeling, 3rd ed., Pergamon:Sydney,2000.
[4] TREDIT S.A., Users' Survey Design of the Services of TRAINOSE, Education ofResearchersand Data Analysis for the Project RAIL4SEE – Cities of Southeast Europeas Rail Links, Thessaloniki, 2014.
[5] Nikolaidou, N., Development of Binary Choice models for the case of a Suburban RailIn the City of Thessaloniki, Greece, Master Thesis, Interdepartmental Course ‘Design,Planning and Organization of Transport Systems’, Supervisor: Prof. Panos Papaioannou,Aristotle University of Thessaloniki, Greece, 2014.
[6] Dyer, C., Research in Psychology: A Practical Guide to Methods and Statistics, BlackwellPublishing: Hodoken, NJ, 2006.
[7] Basbas, S., Tetou, V. & Politis, I., Ordinal and binary logistic logit models for examinationof behavioral, infrastructure and perception factors influencing biking. Proceedingsof the 19th International Conference: Urban Transport and the Environment in the21st Century – Urban Transport XIX, ed. C.A. Brebbia, Vol. 130, Wessex Institute ofTechnology,WIT Transactions on the Built Environment, Kos, Greece, 29–31 May 2013,pp. 573–584.
[8] Ben-Akiva, M.E. & Lerman, S.R., Discrete Choice Analysis: Theory and Application toTravel Demand, Vol. 9. MIT press, 1985.
[9] Shumacher, R.E. & Lomax, R.G., A Beginner’s Guide to Structural Equation Modeling,2nd ed. London: Lawrence Erlbaum Associates, 2004.
[10] King, J.E., Standardized coefficients in logistic regression. Paper Presented at theAnnualMeeting of the Southwest Educational Research Association, San Antonio, TX,2007.
[11] Dunne, J.P., Elasticity measures and disaggregate choice models. Journal of TransportEconomics and Policy, XV111(2), pp. 189–197, 1984.
[12] Louviere, J.J., Hensher, D.A. & Swait, J., Stated Choice Methods, Cambridge:CambridgeUniversity Press, 2000
[13] Litman, T., Understanding Transport Demands and Elasticities: How Prices and OtherFactors Affect Travel Behavior. Canada: Victoria Transport Policy Institute, 2013.
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BibTex Style
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Basbas, S., Nikolaidou, A., Papaioannou, P., & Politis, I. (2017). Assessing the Potential for a New Suburban Rail: Do User Characteristics Matter?. Int. J. Transp. Dev. Integr., 1(4), 640-653. https://doi.org/10.2495/TDI-V1-N4-640-653
S. Basbas, A. Nikolaidou, P. Papaioannou, and I. Politis, "Assessing the Potential for a New Suburban Rail: Do User Characteristics Matter?," Int. J. Transp. Dev. Integr., vol. 1, no. 4, pp. 640-653, 2017. https://doi.org/10.2495/TDI-V1-N4-640-653
@research-article{Basbas2017AssessingTP,
title={Assessing the Potential for a New Suburban Rail: Do User Characteristics Matter?},
author={S. Basbas and A. Nikolaidou and P. Papaioannou and I. Politis},
journal={International Journal of Transport Development and Integration},
year={2017},
page={640-653},
doi={https://doi.org/10.2495/TDI-V1-N4-640-653}
}
S. Basbas, et al. "Assessing the Potential for a New Suburban Rail: Do User Characteristics Matter?." International Journal of Transport Development and Integration, v 1, pp 640-653. doi: https://doi.org/10.2495/TDI-V1-N4-640-653
S. Basbas, A. Nikolaidou, P. Papaioannou and I. Politis. "Assessing the Potential for a New Suburban Rail: Do User Characteristics Matter?." International Journal of Transport Development and Integration, 1, (2017): 640-653. doi: https://doi.org/10.2495/TDI-V1-N4-640-653
Basbas S.， Nikolaidou A.， Papaioannou P.， et al. Assessing the Potential for a New Suburban Rail: Do User Characteristics Matter?[J]. International Journal of Transport Development and Integration， 2017， 1(4)： 640-653. https://doi.org/10.2495/TDI-V1-N4-640-653