IDEAS home Printed from https://ideas.repec.org/a/eee/trapol/v24y2012icp223-231.html
   My bibliography  Save this article

Freeway booking policy: Public discourse and acceptability analysis

Author

Listed:
  • Chung, Younshik
  • Song, Taijin
  • Park, Jungsik

Abstract

This study proposes a new strategy, called “freeway booking,” to mitigate freeway traffic congestion by using advanced traffic technologies and traffic demand management policies and to analyze public discourse and acceptability for the new traffic control policy. While the new control system is a technological issue, the introduction of a new policy must also consider public preference and acceptability. The capability of system control is often not enough to lead to the success of a new policy; the successful implementation of a new policy requires study on a range of issues including identifying the public perception and acceptability. Consequently, to accomplish the analysis of public discourse and acceptability, motorist surveys were carried out with residents of Seoul Metropolitan areas who were returning home from holidays. As a result, 66% of respondents agreed with the proposed policy; 24% of them disagreed and 11% of them gave the no-comment response. Public acceptability was found to be higher with increase in age, household income, the number of family members, and in the inconvenience for using freeways during the major Korean Holidays. Additionally, the married and female respondents tended to show higher acceptability. The results can be informative and practically used for developing participatory policies to successfully integrate public discourse and preference. Also suggested is the consideration of narrative policy as a means to improve public acceptability.

Suggested Citation

  • Chung, Younshik & Song, Taijin & Park, Jungsik, 2012. "Freeway booking policy: Public discourse and acceptability analysis," Transport Policy, Elsevier, vol. 24(C), pages 223-231.
    • Handle: RePEc:eee:trapol:v:24:y:2012:i:c:p:223-231
    DOI: 10.1016/j.tranpol.2012.08.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0967070X12001382
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tranpol.2012.08.004?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ang, James S.K. & Cao, Chengxuan & Ye, Heng-Qing, 2007. "Model and algorithms for multi-period sea cargo mix problem," European Journal of Operational Research, Elsevier, vol. 180(3), pages 1381-1393, August.
    2. Golob, Thomas F., 2003. "Structural equation modeling for travel behavior research," Transportation Research Part B: Methodological, Elsevier, vol. 37(1), pages 1-25, January.
    3. Tak C. Lee & Marvin Hersh, 1993. "A Model for Dynamic Airline Seat Inventory Control with Multiple Seat Bookings," Transportation Science, INFORMS, vol. 27(3), pages 252-265, August.
    4. Cools, Mario & Brijs, Kris & Tormans, Hans & Moons, Elke & Janssens, Davy & Wets, Geert, 2011. "The socio-cognitive links between road pricing acceptability and changes in travel-behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(8), pages 779-788, October.
    5. Wong, Jinn-Tsai, 1997. "Basic concepts for a system for advance booking for highway use," Transport Policy, Elsevier, vol. 4(2), pages 109-114, April.
    6. Alison Pridmore & Apollonia Miola, 2011. "Public Acceptability of Sustainable Transport Measures: A Review of the Literature," International Transport Forum Discussion Papers 2011/20, OECD Publishing.
    7. You, Peng-Sheng, 2008. "An efficient computational approach for railway booking problems," European Journal of Operational Research, Elsevier, vol. 185(2), pages 811-824, March.
    8. Badinelli, Ralph D., 2000. "An optimal, dynamic policy for hotel yield management," European Journal of Operational Research, Elsevier, vol. 121(3), pages 476-503, March.
    9. Tom Rye & Martin Gaunt & Stephen Ison, 2008. "Edinburgh's Congestion Charging Plans: An Analysis of Reasons for Non-Implementation," Transportation Planning and Technology, Taylor & Francis Journals, vol. 31(6), pages 641-661, March.
    10. Eliasson, Jonas & Jonsson, Lina, 2011. "The unexpected "yes": Explanatory factors behind the positive attitudes to congestion charges in Stockholm," Transport Policy, Elsevier, vol. 18(4), pages 636-647, August.
    11. Jonathan Leape, 2006. "The London Congestion Charge," Journal of Economic Perspectives, American Economic Association, vol. 20(4), pages 157-176, Fall.
    12. Kottenhoff, Karl & Brundell Freij, Karin, 2009. "The role of public transport for feasibility and acceptability of congestion charging - The case of Stockholm," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(3), pages 297-305, March.
    13. Jeffrey I. McGill & Garrett J. van Ryzin, 1999. "Revenue Management: Research Overview and Prospects," Transportation Science, INFORMS, vol. 33(2), pages 233-256, May.
    14. Yetano Roche, María & Mourato, Susana & Fischedick, Manfred & Pietzner, Katja & Viebahn, Peter, 2010. "Public attitudes towards and demand for hydrogen and fuel cell vehicles: A review of the evidence and methodological implications," Energy Policy, Elsevier, vol. 38(10), pages 5301-5310, October.
    15. Teodorovic, Dusan & Lucic, Panta, 2006. "Intelligent parking systems," European Journal of Operational Research, Elsevier, vol. 175(3), pages 1666-1681, December.
    16. S. Jaensirisak & M. Wardman & A. D. May, 2005. "Explaining Variations in Public Acceptability of Road Pricing Schemes," Journal of Transport Economics and Policy, University of Bath, vol. 39(2), pages 127-154, May.
    17. Li, Michael Z. F., 2001. "Pricing non-storable perishable goods by using a purchase restriction with an application to airline fare pricing," European Journal of Operational Research, Elsevier, vol. 134(3), pages 631-647, November.
    18. Greg Hampton, 2009. "Narrative policy analysis and the integration of public involvement in decision making," Policy Sciences, Springer;Society of Policy Sciences, vol. 42(3), pages 227-242, August.
    19. O'Garra, Tanya & Mourato, Susana & Garrity, Lisa & Schmidt, Patrick & Beerenwinkel, Anne & Altmann, Matthias & Hart, David & Graesel, Cornelia & Whitehouse, Simon, 2007. "Is the public willing to pay for hydrogen buses? A comparative study of preferences in four cities," Energy Policy, Elsevier, vol. 35(7), pages 3630-3642, July.
    20. Andrew D. Brown, 1998. "Narrative, Politics and Legitimacy in an IT Implementation," Journal of Management Studies, Wiley Blackwell, vol. 35(1), pages 35-58, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Younshik Chung & Jong-Jin Kim, 2023. "Exploring Factors Affecting Crash Injury Severity with Consideration of Secondary Collisions in Freeway Tunnels," IJERPH, MDPI, vol. 20(4), pages 1-20, February.
    2. Ratanavaraha, Vatanavongs & Jomnonkwao, Sajjakaj & Khampirat, Buratin & Watthanaklang, Duangdao & Iamtrakul, Pawinee, 2016. "The complex relationship between school policy, service quality, satisfaction, and loyalty for educational tour bus services: A multilevel modeling approach," Transport Policy, Elsevier, vol. 45(C), pages 116-126.
    3. Jomnonkwao, Sajjakaj & Ratanavaraha, Vatanavongs, 2016. "Measurement modelling of the perceived service quality of a sightseeing bus service: An application of hierarchical confirmatory factor analysis," Transport Policy, Elsevier, vol. 45(C), pages 240-252.
    4. Watthanaklang, Duangdao & Ratanavaraha, Vatanavongs & Chatpattananan, Vuttichai & Jomnonkwao, Sajjakaj, 2016. "Measuring the motivation to ride bicycles for tourism through a comparison of tourist attractions," Transport Policy, Elsevier, vol. 52(C), pages 153-163.
    5. Mauricio Carvache-Franco & Conrado Carrascosa-López & Wilmer Carvache-Franco, 2022. "Market Segmentation by Motivations in Ecotourism: Application in the Posets-Maladeta Natural Park, Spain," Sustainability, MDPI, vol. 14(9), pages 1-18, April.
    6. Khalilikhah, Majid & Habibian, Meeghat & Heaslip, Kevin, 2016. "Acceptability of increasing petrol price as a TDM pricing policy: A case study in Tehran," Transport Policy, Elsevier, vol. 45(C), pages 136-144.
    7. Moeinaddini, Amin & Habibian, Meeghat, 2024. "Acceptability of transportation demand management policy packages considering interactions and socio-economic heterogeneity," Research in Transportation Economics, Elsevier, vol. 103(C).
    8. Chung, Younshik & Kim, Hyun, 2015. "Deep subterranean railway system: Acceptability assessment of the public discourse in the Seoul Metropolitan Area of South Korea," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 82-94.
    9. Moeinaddini, Amin & Habibian, Meeghat, 2023. "Transportation demand management policy efficiency: An attempt to address the effectiveness and acceptability of policy packages," Transport Policy, Elsevier, vol. 141(C), pages 317-330.
    10. Li, Xinwei & Yang, Hai & Ke, Jintao, 2023. "Booking cum rationing strategy for equitable travel demand management in road networks," Transportation Research Part B: Methodological, Elsevier, vol. 167(C), pages 261-274.
    11. Mauricio Carvache-Franco & Conrado Carrascosa-López & Wilmer Carvache-Franco, 2021. "The Perceived Value and Future Behavioral Intentions in Ecotourism: A Study in the Mediterranean Natural Parks from Spain," Land, MDPI, vol. 10(11), pages 1-15, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chung, Younshik & Kim, Hyun, 2015. "Deep subterranean railway system: Acceptability assessment of the public discourse in the Seoul Metropolitan Area of South Korea," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 82-94.
    2. Zhao, Y. & Triantis, K. & Teodorovic, D. & Edara, P., 2010. "A travel demand management strategy: The downtown space reservation system," European Journal of Operational Research, Elsevier, vol. 205(3), pages 584-594, September.
    3. Andrea Baranzini & Stefano Carattini & Linda Tesauro, 2021. "Designing Effective and Acceptable Road Pricing Schemes: Evidence from the Geneva Congestion Charge," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 79(3), pages 417-482, July.
    4. Boggio, Margherita & Beria, Paolo, 2019. "The role of transport supply in the acceptability of pollution charge extension. The case of Milan," Transportation Research Part A: Policy and Practice, Elsevier, vol. 129(C), pages 92-106.
    5. Zhang, Wenjia & Liu, Chengcheng & Zhang, Hongmou, 2023. "Public acceptance of congestion pricing policies in Beijing: The roles of neighborhood built environment and air pollution perception," Transport Policy, Elsevier, vol. 143(C), pages 106-120.
    6. Grisolía, José M. & López, Francisco & Ortúzar, Juan de Dios, 2015. "Increasing the acceptability of a congestion charging scheme," Transport Policy, Elsevier, vol. 39(C), pages 37-47.
    7. Vonk Noordegraaf, Diana & Annema, Jan Anne & van Wee, Bert, 2014. "Policy implementation lessons from six road pricing cases," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 172-191.
    8. Wuyang Yuan & Lei Nie & Xin Wu & Huiling Fu, 2018. "A dynamic bid price approach for the seat inventory control problem in railway networks with consideration of passenger transfer," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-23, August.
    9. Di Ciommo, Floridea & Monzón, Andrés & Fernandez-Heredia, Alvaro, 2013. "Improving the analysis of road pricing acceptability surveys by using hybrid models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 49(C), pages 302-316.
    10. Morton, Craig & Mattioli, Giulio & Anable, Jillian, 2021. "Public acceptability towards Low Emission Zones: The role of attitudes, norms, emotions, and trust," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 256-270.
    11. Wuyang Yuan & Lei Nie, 2020. "Optimization of seat allocation with fixed prices: An application of railway revenue management in China," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-25, April.
    12. Fageda, Xavier & Flores-Fillol, Ricardo & Theilen, Bernd, 2022. "Price versus quantity measures to deal with pollution and congestion in urban areas: A political economy approach," Journal of Environmental Economics and Management, Elsevier, vol. 115(C).
    13. Bernardo, Valeria & Fageda, Xavier & Flores-Fillol, Ricardo, 2021. "Pollution and congestion in urban areas: The effects of low emission zones," Economics of Transportation, Elsevier, vol. 26.
    14. Özgül Ardıç & Jan Anne Annema & Eric Molin & Bert Wee, 2018. "The association between news and attitudes towards a Dutch road pricing proposal," Transportation, Springer, vol. 45(3), pages 827-848, May.
    15. Sørensen, Claus Hedegaard & Isaksson, Karolina & Macmillen, James & Åkerman, Jonas & Kressler, Florian, 2014. "Strategies to manage barriers in policy formation and implementation of road pricing packages," Transportation Research Part A: Policy and Practice, Elsevier, vol. 60(C), pages 40-52.
    16. Lichtin, Florian & Smith, E. Keith & Axhausen, Kay W. & Bernauer, Thomas, 2024. "How to design publicly acceptable road pricing? Experimental insights from Switzerland," Ecological Economics, Elsevier, vol. 218(C).
    17. Mehdizadeh, Milad & Shariat-Mohaymany, Afshin, 2020. "Who are more likely to break the rule of congestion charging? Evidence from an active scheme with no referendum voting," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 63-79.
    18. Feng, Youyi & Xiao, Baichun, 2006. "A continuous-time seat control model for single-leg flights with no-shows and optimal overbooking upper bound," European Journal of Operational Research, Elsevier, vol. 174(2), pages 1298-1316, October.
    19. Chen, Bo & Zhang, Xiandong, 2019. "Scheduling with time-of-use costs," European Journal of Operational Research, Elsevier, vol. 274(3), pages 900-908.
    20. Milenković, Marina & Glavić, Draženko & Maričić, Milica, 2019. "Determining factors affecting congestion pricing acceptability," Transport Policy, Elsevier, vol. 82(C), pages 58-74.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:trapol:v:24:y:2012:i:c:p:223-231. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/30473/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.