IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i24p10252-d458836.html
   My bibliography  Save this article

Traffic Volumes as a Modal Split Parameter

Author

Listed:
  • Marek Drliciak

    (Department of Highway Engineering, Faculty of Civil Engineering, University of Žilina, Univerzitná 8215/1, 010 26 Žilina, Slovakia)

  • Jan Celko

    (Department of Highway Engineering, Faculty of Civil Engineering, University of Žilina, Univerzitná 8215/1, 010 26 Žilina, Slovakia)

  • Michal Cingel

    (Department of Highway Engineering, Faculty of Civil Engineering, University of Žilina, Univerzitná 8215/1, 010 26 Žilina, Slovakia)

  • Dusan Jandacka

    (Department of Highway Engineering, Faculty of Civil Engineering, University of Žilina, Univerzitná 8215/1, 010 26 Žilina, Slovakia)

Abstract

Traffic volume depends on several indicators. The most important are the degree of motorization, mobility, and especially the travel time and travel cost factor. The article presents an analysis of the possibility of using mobility surveys and traffic counts to achieve a balance between supply and demand. The frequency of congested traffic and over-capacity volumes are determined. By analyzing the trip information captured in the mobility surveys, we detected the strata causing the highest demand—economically active people with “job” as the purpose of their trip. The study area includes the Kysuce region and the city of Žilina in Slovakia. Three scenarios are processed in the article. Scenario 0 defines the current state, scenario 1 defines the situation with free-of-charge public transport, and scenario 2 represents a targeted modal split where saturation is not exceeded. The aim is to shift passengers to public transport and increase the share of public transport in the modal split. Scenario 2 is also presented in terms of saved emissions as an additional factor of relocating passengers from private to public transport. In terms of fare, we found a small change in the modal split with free-of-charge public transport.

Suggested Citation

  • Marek Drliciak & Jan Celko & Michal Cingel & Dusan Jandacka, 2020. "Traffic Volumes as a Modal Split Parameter," Sustainability, MDPI, vol. 12(24), pages 1-21, December.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:24:p:10252-:d:458836
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/24/10252/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/12/24/10252/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jonathan Levine & Lawrence Frank, 2007. "Transportation and land-use preferences and residents’ neighborhood choices: the sufficiency of compact development in the Atlanta region," Transportation, Springer, vol. 34(2), pages 255-274, March.
    2. Cao, Xinyu & Mokhtarian, Patricia L., 2005. "How do individuals adapt their personal travel? Objective and subjective influences on the consideration of travel-related strategies for San Francisco Bay Area commuters," Transport Policy, Elsevier, vol. 12(4), pages 291-302, July.
    3. Redman, Lauren & Friman, Margareta & Gärling, Tommy & Hartig, Terry, 2013. "Quality attributes of public transport that attract car users: A research review," Transport Policy, Elsevier, vol. 25(C), pages 119-127.
    4. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, September.
    5. Cao, Xinyu & Mokhtarian, Patricia L., 2005. "How do individuals adapt their personal travel? A conceptual exploration of the consideration of travel-related strategies," Transport Policy, Elsevier, vol. 12(3), pages 199-206, May.
    6. Jaroslav MAŠEK & Martin KENDRA & Sanjin MILINKOVIĆ & Slavko VESKOVIĆ & Dalibor Bà RTA, 2015. "Proposal And Application Of Methodology Of Revitalisation Of Regional Railway Track In Slovakia And Serbia. Part 1: Theoretical Approach And Proposal Of Methodology For Revitalisation Of Regional Rail," Transport Problems, Silesian University of Technology, Faculty of Transport, vol. 10(SE), pages 85-95, December.
    7. Christiadi & Brian Cushing, 2007. "Conditional Logit, IIA, and Alternatives for Estimating Models of Interstate Migration," Working Papers Working Paper 2007-04, Regional Research Institute, West Virginia University.
    8. Hymel, Kent, 2019. "If you build it, they will drive: Measuring induced demand for vehicle travel in urban areas," Transport Policy, Elsevier, vol. 76(C), pages 57-66.
    9. Weichuan Yin & Yingqun Zhang, 2020. "Identification Method for Optimal Urban Bus Corridor Location," Sustainability, MDPI, vol. 12(17), pages 1-22, September.
    10. Ciyun Lin & Kang Wang & Dayong Wu & Bowen Gong, 2020. "Passenger Flow Prediction Based on Land Use around Metro Stations: A Case Study," Sustainability, MDPI, vol. 12(17), pages 1-22, August.
    11. Daniel Štraub, 2020. "The Effects of Fare-Free Public Transport: A Lesson from Frýdek-Místek (Czechia)," Sustainability, MDPI, vol. 12(21), pages 1-15, November.
    12. Rodrigo V. Ventura & Manoela Cabo & Rafael Caixeta & Elton Fernandes & Vicente Aprigliano Fernandes, 2020. "Air Transportation Income and Price Elasticities in Remote Areas: The Case of the Brazilian Amazon Region," Sustainability, MDPI, vol. 12(15), pages 1-18, July.
    13. Satoshi Fujii & Ryuichi Kitamura, 2003. "What does a one-month free bus ticket do to habitual drivers? An experimental analysis of habit and attitude change," Transportation, Springer, vol. 30(1), pages 81-95, February.
    14. Olumide F. Abioye & Maxim A. Dulebenets & Junayed Pasha & Masoud Kavoosi, 2019. "A Vessel Schedule Recovery Problem at the Liner Shipping Route with Emission Control Areas," Energies, MDPI, vol. 12(12), pages 1-28, June.
    15. Steg, Linda, 2005. "Car use: lust and must. Instrumental, symbolic and affective motives for car use," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(2-3), pages 147-162.
    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. Maxwell Umunna Nwachukwu & Clement Obinna & Uloma Jiburum & Donald Chiuba Okeke, 2023. "Analysis of Modal Split of Intra-urban Trips in a Centenary City: A Case Study of Enugu, Nigeria," SAGE Open, , vol. 13(1), pages 21582440231, February.
    2. Martin Decky & Katarina Hodasova & Zuzana Papanova & Eva Remisova, 2022. "Sustainable Adaptive Cycle Pavements Using Composite Foam Concrete at High Altitudes in Central Europe," Sustainability, MDPI, vol. 14(15), pages 1-19, July.
    3. Vladislav Krivda & Jan Petru & David Macha & Jakub Novak, 2021. "Use of Microsimulation Traffic Models as Means for Ensuring Public Transport Sustainability and Accessibility," Sustainability, MDPI, vol. 13(5), pages 1-38, March.

    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. Jiajun Shen & Guangchuan Yang, 2020. "Crash Risk Assessment for Heterogeneity Traffic and Different Vehicle-Following Patterns Using Microscopic Traffic Flow Data," Sustainability, MDPI, vol. 12(23), pages 1-18, November.
    2. Jonathan L. Gifford, 2011. "Psychology and Rationality in User Behavior: The Case of Scarcity," Chapters, in: André de Palma & Robin Lindsey & Emile Quinet & Roger Vickerman (ed.), A Handbook of Transport Economics, chapter 27, Edward Elgar Publishing.
    3. Cristina Pronello & Jean-Baptiste Gaborieau, 2018. "Engaging in Pro-Environment Travel Behaviour Research from a Psycho-Social Perspective: A Review of Behavioural Variables and Theories," Sustainability, MDPI, vol. 10(7), pages 1-22, July.
    4. Marcel Paulssen & Dirk Temme & Akshay Vij & Joan Walker, 2014. "Values, attitudes and travel behavior: a hierarchical latent variable mixed logit model of travel mode choice," Transportation, Springer, vol. 41(4), pages 873-888, July.
    5. Abdurrahman B. Aydemir & Erkan Duman, 2021. "Migrant Networks and Destination Choice: Evidence from Moves across Turkish Provinces," Koç University-TUSIAD Economic Research Forum Working Papers 2109, Koc University-TUSIAD Economic Research Forum.
    6. Toşa, Cristian & Sato, Hitomi & Morikawa, Takayuki & Miwa, Tomio, 2018. "Commuting behavior in emerging urban areas: Findings of a revealed-preferences and stated-intentions survey in Cluj-Napoca, Romania," Journal of Transport Geography, Elsevier, vol. 68(C), pages 78-93.
    7. Alessandro Vitale & Giuseppe Guido & Daniele Rogano, 2016. "A smartphone based DSS platform for assessing transit service attributes," Public Transport, Springer, vol. 8(2), pages 315-340, September.
    8. de Oña, Juan & Estévez, Esperanza & de Oña, Rocío, 2021. "How does private vehicle users perceive the public transport service quality in large metropolitan areas? A European comparison," Transport Policy, Elsevier, vol. 112(C), pages 173-188.
    9. Ferreira, Sara & Amorim, Marco & Lobo, António & Kern, Mira & Fanderl, Nora & Couto, António, 2022. "Travel mode preferences among German commuters over the course of COVID-19 pandemic," Transport Policy, Elsevier, vol. 126(C), pages 55-64.
    10. repec:hal:wpaper:hal-00827972 is not listed on IDEAS
    11. Allen, Jaime & Muñoz, Juan Carlos & Rosell, Jordi, 2019. "Effect of a major network reform on bus transit satisfaction," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 310-333.
    12. Pablo Neudörfer & Jorge Dresdner, 2014. "Does religious affiliation affect migration?," Papers in Regional Science, Wiley Blackwell, vol. 93(3), pages 577-594, August.
    13. Juan de O~na & Esperanza Est'evez & Rocio de O~na, 2021. "Public transport users versus private vehicle users: differences about quality of service, satisfaction and attitudes toward public transport in Madrid (Spain)," Papers 2103.14762, arXiv.org.
    14. 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.
    15. Khatun, Farzana & Saphores, Jean-Daniel, 2023. "Covid-19, intentions to change modes, and how they materialized - Results from a random survey of Californians," Transportation Research Part A: Policy and Practice, Elsevier, vol. 178(C).
    16. Luis A. Guzman & Victor A. Cantillo-Garcia & Julian Arellana & Olga L. Sarmiento, 2023. "User expectations and perceptions towards new public transport infrastructure: evaluating a cable car in Bogotá," Transportation, Springer, vol. 50(3), pages 751-771, June.
    17. Nordfjærn, Trond & Egset, Kaja Solland & Mehdizadeh, Milad, 2019. "“Winter is coming”: Psychological and situational factors affecting transportation mode use among university students," Transport Policy, Elsevier, vol. 81(C), pages 45-53.
    18. Yang, Yuan & Wang, Can & Liu, Wenling & Zhou, Peng, 2018. "Understanding the determinants of travel mode choice of residents and its carbon mitigation potential," Energy Policy, Elsevier, vol. 115(C), pages 486-493.
    19. Simone Borghesi & Chiara Calastri & Giorgio Fagiolo, 2014. "How do people choose their commuting mode? An evolutionary approach to transport choices," LEM Papers Series 2014/15, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    20. Monchambert, Guillaume & de Palma, André, 2014. "Public transport reliability and commuter strategy," Journal of Urban Economics, Elsevier, vol. 81(C), pages 14-29.
    21. Martine Audibert & Yong He & Jacky Mathonnat, 2013. "Multinomial and Mixed Logit Modeling in the Presence of Heterogeneity: A Two-Period Comparison of Healthcare Provider Choice in Rural China," Working Papers halshs-00846085, HAL.

    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:gam:jsusta:v:12:y:2020:i:24:p:10252-:d:458836. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.