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Determining the factors affecting transportation demand management and selecting the best strategy: A case study

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  • Aytekin, Ahmet
  • Korucuk, Selçuk
  • Görçün, Ömer Faruk

Abstract

Demand management in transportation services, as well as demand sustainability, demand planning, and demand implementation are critical components in service quality and environmental sustainability. It is evident that developing a transportation system, particularly one responsive to society’s aspirations and demands, will result in long-term and sustainable success for enterprises. Transportation demand management and strategies can produce alternative perspectives at a desirable and sufficient level to handle problems in the field while considering the obstacles. Considering the elements influencing transportation demand management in logistics enterprises, this study aims to evaluate factors affecting transportation demand management and select the best strategy. The study was carried out on logistic firms with a corporate identity in the Turkish province of Samsun (Turkiye), engaged in international transportation activities to define the criteria affecting transportation demand management and select the best transportation demand strategy. The constituents from the literature review were analyzed using the q-rung orthopair fuzzy MCDA methodology. “Freight Transportation” was determined to be the most crucial measure affecting transportation demand management, while “Competition Legislation and Regulations Regulation” was the least important factor. The rapid expansion in the number of companies participating in freight transport and their capacity was evaluated as the essential aspect for the relevant logistics companies in transport demand management. The “Strategy for Prioritizing High Occupancy Vehicles” is the best transportation strategy based on the weights of the transportation demand management factors. Because of the implementation of this strategy in logistics organizations, this study is regarded as a significant indicator of competitiveness to ensure efficiency and effectiveness. The defined transport demand strategy also represents an exemplary model of the measures that need to be developed to increase the demand preference for sustainable transport.

Suggested Citation

  • Aytekin, Ahmet & Korucuk, Selçuk & Görçün, Ömer Faruk, 2024. "Determining the factors affecting transportation demand management and selecting the best strategy: A case study," Transport Policy, Elsevier, vol. 146(C), pages 150-166.
    • Handle: RePEc:eee:trapol:v:146:y:2024:i:c:p:150-166
    DOI: 10.1016/j.tranpol.2023.11.003
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    as
    1. Edmundas Kazimieras Zavadskas & Valentinas Podvezko, 2016. "Integrated Determination of Objective Criteria Weights in MCDM," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 15(02), pages 267-283, March.
    2. Hasnine, Md Sami & Habib, Khandker Nurul, 2020. "Transportation demand management (TDM) and social justice: A case study of differential impacts of TDM strategies on various income groups," Transport Policy, Elsevier, vol. 94(C), pages 1-10.
    3. Guiwu Wei & Jie Wang & Jianping Lu & Jiang Wu & Cun Wei & Fuad E. Alsaadi & Tasawar Hayat, 2020. "VIKOR method for multiple criteria group decision making under 2-tuple linguistic neutrosophic environment," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 33(1), pages 3185-3208, January.
    4. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    5. Kumar, Aalok & Anbanandam, Ramesh, 2022. "Assessment of environmental and social sustainability performance of the freight transportation industry: An index-based approach," Transport Policy, Elsevier, vol. 124(C), pages 43-60.
    6. Naveen, B.R. & Gurtoo, Anjula, 2022. "Public transport strategy and epidemic prevention framework in the Context of Covid-19," Transport Policy, Elsevier, vol. 116(C), pages 165-174.
    7. Swati Goyal & Shivi Agarwal & Narinderjit Singh Sawaran Singh & Trilok Mathur & Nirbhay Mathur, 2022. "Analysis of Hybrid MCDM Methods for the Performance Assessment and Ranking Public Transport Sector: A Case Study," Sustainability, MDPI, vol. 14(22), pages 1-21, November.
    8. Philippe Barla & Nathanael Lapierre & Ricardo A. Daziano & Markus Herrmann, 2015. "Reducing Automobile Dependency on Campus Using Transport Demand Management: A Case Study for Quebec City," Canadian Public Policy, University of Toronto Press, vol. 41(1), pages 86-96, March.
    9. Edwards, Ward & Barron, F. Hutton, 1994. "SMARTS and SMARTER: Improved Simple Methods for Multiattribute Utility Measurement," Organizational Behavior and Human Decision Processes, Elsevier, vol. 60(3), pages 306-325, December.
    10. Pietro Amenta & Alessio Ishizaka & Antonio Lucadamo & Gabriella Marcarelli & Vijay Vyas, 2020. "Computing a common preference vector in a complex multi-actor and multi-group decision system in Analytic Hierarchy Process context," Annals of Operations Research, Springer, vol. 284(1), pages 33-62, January.
    11. Szabolcs Duleba & István Blahota, 2022. "Determining optimal group weights for consensus creation in AHP for three conflicting stakeholder groups by vector distance minimization," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 73(7), pages 1633-1648, July.
    12. C. West Churchman & Russell L. Ackoff, 1954. "An Approximate Measure of Value," Operations Research, INFORMS, vol. 2(2), pages 172-187, May.
    13. Percoco, Marco, 2014. "The effect of road pricing on traffic composition: Evidence from a natural experiment in Milan, Italy," Transport Policy, Elsevier, vol. 31(C), pages 55-60.
    14. Wu, Jiyan & Tian, Ye & Sun, Jian & Michael Zhang, H. & Wang, Yunpeng, 2023. "Public or private? Optimal organization for incentive-based travel demand management," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 174(C).
    15. Xu, Xun & Chase, Nicholas & Peng, Tianduo, 2021. "Economic structural change and freight transport demand in China," Energy Policy, Elsevier, vol. 158(C).
    16. Woodburn, Allan, 2019. "Rail network resilience and operational responsiveness during unplanned disruption: A rail freight case study," Journal of Transport Geography, Elsevier, vol. 77(C), pages 59-69.
    17. Gohari, Adel & Ahmad, Anuar Bin & Balasbaneh, Ali Tighnavard & Gohari, Ali & Hasan, Razi & Sholagberu, Abdulkadir Taofeeq, 2022. "Significance of intermodal freight modal choice criteria: MCDM-based decision support models and SP-based modal shift policies," Transport Policy, Elsevier, vol. 121(C), pages 46-60.
    18. Elzbieta Broniewicz & Karolina Ogrodnik, 2021. "A Comparative Evaluation of Multi-Criteria Analysis Methods for Sustainable Transport," Energies, MDPI, vol. 14(16), pages 1-23, August.
    19. Soner Haldenbilen & Halim Ceylan, 2005. "Transport Demand Management in Turkey: A Genetic Algorithm Approach," Transportation Planning and Technology, Taylor & Francis Journals, vol. 28(6), pages 403-426, August.
    20. Litman, Todd, 2003. "The Online TDM Encyclopedia: mobility management information gateway," Transport Policy, Elsevier, vol. 10(3), pages 245-249, July.
    21. Pamucar, Dragan & Deveci, Muhammet & Gokasar, Ilgin & Tavana, Madjid & Köppen, Mario, 2022. "A metaverse assessment model for sustainable transportation using ordinal priority approach and Aczel-Alsina norms," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    22. Stefan Gössling, 2020. "Why cities need to take road space from cars - and how this could be done," Journal of Urban Design, Taylor & Francis Journals, vol. 25(4), pages 443-448, June.
    23. Preeti Devi & Bartłomiej Kizielewicz & Abhishek Guleria & Andrii Shekhovtsov & Jarosław Wątróbski & Tomasz Królikowski & Jakub Więckowski & Wojciech Sałabun, 2022. "Decision Support in Selecting a Reliable Strategy for Sustainable Urban Transport Based on Laplacian Energy of T -Spherical Fuzzy Graphs," Energies, MDPI, vol. 15(14), pages 1-20, July.
    24. Ahmad Alkharabsheh & Sarbast Moslem & Laila Oubahman & Szabolcs Duleba, 2021. "An Integrated Approach of Multi-Criteria Decision-Making and Grey Theory for Evaluating Urban Public Transportation Systems," Sustainability, MDPI, vol. 13(5), pages 1-15, March.
    25. Cheng, Yung-Hsiang & Chen, Ssu-Yun, 2015. "Perceived accessibility, mobility, and connectivity of public transportation systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 386-403.
    26. Yu-Lan Wang & Chin-Nung Liao, 2023. "Assessment of Sustainable Reverse Logistic Provider Using the Fuzzy TOPSIS and MSGP Framework in Food Industry," Sustainability, MDPI, vol. 15(5), pages 1-17, February.
    27. Opricovic, Serafim & Tzeng, Gwo-Hshiung, 2004. "Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS," European Journal of Operational Research, Elsevier, vol. 156(2), pages 445-455, July.
    28. Rotaris, Lucia & Danielis, Romeo, 2014. "The impact of transportation demand management policies on commuting to college facilities: A case study at the University of Trieste, Italy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 67(C), pages 127-140.
    29. Joan Calzada & Xavier Fageda, 2012. "Discounts and Public Service Obligations in the Airline Market: Lessons from Spain," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 40(4), pages 291-312, June.
    30. Adis Puška & Miroslav Nedeljković & Radivoj Prodanović & Radovan Vladisavljević & Radmila Suzić, 2022. "Market Assessment of Pear Varieties in Serbia Using Fuzzy CRADIS and CRITIC Methods," Agriculture, MDPI, vol. 12(2), pages 1-15, January.
    31. Rezaei, Jafar, 2015. "Best-worst multi-criteria decision-making method," Omega, Elsevier, vol. 53(C), pages 49-57.
    32. SteadieSeifi, M. & Dellaert, N.P. & Nuijten, W. & Van Woensel, T. & Raoufi, R., 2014. "Multimodal freight transportation planning: A literature review," European Journal of Operational Research, Elsevier, vol. 233(1), pages 1-15.
    33. Marta Kadłubek & Eleftherios Thalassinos & Joanna Domagała & Sandra Grabowska & Sebastian Saniuk, 2022. "Intelligent Transportation System Applications and Logistics Resources for Logistics Customer Service in Road Freight Transport Enterprises," Energies, MDPI, vol. 15(13), pages 1-27, June.
    34. Bouraima, Mouhamed Bayane & Qiu, Yanjun & Stević, Željko & Simić, Vladimir, 2023. "Assessment of alternative railway systems for sustainable transportation using an integrated IRN SWARA and IRN CoCoSo model," Socio-Economic Planning Sciences, Elsevier, vol. 86(C).
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