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The impact of transportation demand management policies on commuting to college facilities: A case study at the University of Trieste, Italy

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  • Rotaris, Lucia
  • Danielis, Romeo

Abstract

Universities, like other types of public and private institutions, when located in a city, have both positive and negative impacts on the area where they are situated. On the one hand, they contribute to the prestige of the area; on the other hand, they are large generators/attractors of traffic. The ability to successfully balance the pros and cons of the urban location of these large traffic-generating institutions is crucial for their success and for the livability of the city. In this paper this issue has been analyzed selecting as a representative case the University of Trieste.

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  • 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.
    • Handle: RePEc:eee:transa:v:67:y:2014:i:c:p:127-140
    DOI: 10.1016/j.tra.2014.06.011
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    7. Beno Mesarec & Branka Trček, 2024. "Suggestions and Solutions for Enhancing Active Commuting to the University of Maribor and Advancing CO 2 Emission Reduction," Sustainability, MDPI, vol. 16(2), pages 1-21, January.
    8. Shin, Eun Jin, 2021. "Exploring the causal impact of transit fare exemptions on older adults’ travel behavior: Evidence from the Seoul metropolitan area," Transportation Research Part A: Policy and Practice, Elsevier, vol. 149(C), pages 319-338.
    9. Mattia Cattaneo & Paolo Malighetti & Stefano Paleari & Renato Redondi, 2015. "Evolution of long distance students? mobility: the role of transport infrastructures in Italy," ERSA conference papers ersa15p1231, European Regional Science Association.
    10. Hossain, Sanjana & Loa, Patrick & Ong, Felita & Habib, Khandker Nurul, 2022. "The determinants of commute mode usage frequency of post-secondary students in the Greater Toronto and Hamilton Area," Transportation Research Part A: Policy and Practice, Elsevier, vol. 166(C), pages 164-185.
    11. Hasnine, Md Sami & Lin, TianYang & Weiss, Adam & Habib, Khandker Nurul, 2018. "Determinants of travel mode choices of post-secondary students in a large metropolitan area: The case of the city of Toronto," Journal of Transport Geography, Elsevier, vol. 70(C), pages 161-171.
    12. Aghaabbasi, Mahdi & Shekari, Zohreh Asadi & Shah, Muhammad Zaly & Olakunle, Oloruntobi & Armaghani, Danial Jahed & Moeinaddini, Mehdi, 2020. "Predicting the use frequency of ride-sourcing by off-campus university students through random forest and Bayesian network techniques," Transportation Research Part A: Policy and Practice, Elsevier, vol. 136(C), pages 262-281.
    13. Sottile, Eleonora & Tuveri, Giovanni & Piras, Francesco & Meloni, Italo, 2022. "Modelling commuting tours versus non-commuting tours for university students. A panel data analysis from different contexts," Transport Policy, Elsevier, vol. 118(C), pages 56-67.
    14. Cattaneo, Mattia & Malighetti, Paolo & Paleari, Stefano & Redondi, Renato, 2016. "The role of the air transport service in interregional long-distance students’ mobility in Italy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 93(C), pages 66-82.
    15. Rotaris, Lucia & Danielis, Romeo, 2015. "Commuting to college: The effectiveness and social efficiency of transportation demand management policies," Transport Policy, Elsevier, vol. 44(C), pages 158-168.
    16. Aleksandra Romanowska & Romanika Okraszewska & Kazimierz Jamroz, 2019. "A Study of Transport Behaviour of Academic Communities," Sustainability, MDPI, vol. 11(13), pages 1-18, June.
    17. Bagdatli, Muhammed Emin Cihangir & Ipek, Fatima, 2022. "Transport mode preferences of university students in post-COVID-19 pandemic," Transport Policy, Elsevier, vol. 118(C), pages 20-32.
    18. Wang, Yacan & Geng, Kexin & May, Anthony D. & Zhou, Huiyu, 2022. "The impact of traffic demand management policy mix on commuter travel choices," Transport Policy, Elsevier, vol. 117(C), pages 74-87.
    19. Guangnian Xiao & Qin Cheng & Chunqin Zhang, 2019. "Detecting travel modes from smartphone-based travel surveys with continuous hidden Markov models," International Journal of Distributed Sensor Networks, , vol. 15(4), pages 15501477198, April.
    20. Branka Trček & Beno Mesarec, 2022. "Pathways to Alternative Transport Mode Choices among University Students and Staff—Commuting to the University of Maribor since 2010," Sustainability, MDPI, vol. 14(18), pages 1-19, September.
    21. Hannes Wallimann & Kevin Blattler & Widar von Arx, 2021. "Do price reductions attract customers in urban public transport? A synthetic control approach," Papers 2111.14613, arXiv.org, revised Mar 2022.
    22. Wallimann, Hannes & Blättler, Kevin & von Arx, Widar, 2023. "Do price reductions attract customers in urban public transport? A synthetic control approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
    23. Collins, Patricia A. & MacFarlane, Robert, 2018. "Evaluating the determinants of switching to public transit in an automobile-oriented mid-sized Canadian city: A longitudinal analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 682-695.
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    25. Rotaris, Lucia & Danielis, Romeo & Maltese, Ila, 2019. "Carsharing use by college students: The case of Milan and Rome," Transportation Research Part A: Policy and Practice, Elsevier, vol. 120(C), pages 239-251.

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