IDEAS home Printed from https://ideas.repec.org/a/pal/marecl/v24y2022i3d10.1057_s41278-021-00198-3.html
   My bibliography  Save this article

Using big data to estimate the impact of cruise activity on congestion in port cities

Author

Listed:
  • Agustina Calatayud

    (Inter-American Development Bank)

  • Santiago Sánchez González

    (Inter-American Development Bank)

  • Jose Maria Marquez

    (Inter-American Development Bank)

Abstract

By using big data that are generated by crowdsourced mobility platforms and GPS devices, policymakers can now better understand the relationship between cruise activities and traffic congestion, identify key areas in the road network that need traffic flow improvement, and design appropriate measures to take advantage of cruise tourism while mitigating its effects on urban mobility. This study uses big data and econometric techniques to analyze the relationship between traffic congestion and cruise activity for five of the busiest cruise destinations in South America and the Caribbean: Buenos Aires, Callao, Cartagena, Montevideo, and Rio the Janeiro. Over 80 million observations were collected from automatic identification system (AIS) and crowdsourced traffic data platforms for 2019. Results suggest that cruise activity causes a 12% increase in urban congestion. The analysis of big data presented in this paper facilitates the design of customized interventions to ease congestion according to the temporal dynamics of traffic flows, thus leading towards more efficient traffic management.

Suggested Citation

  • Agustina Calatayud & Santiago Sánchez González & Jose Maria Marquez, 2022. "Using big data to estimate the impact of cruise activity on congestion in port cities," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 24(3), pages 566-583, September.
    • Handle: RePEc:pal:marecl:v:24:y:2022:i:3:d:10.1057_s41278-021-00198-3
    DOI: 10.1057/s41278-021-00198-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41278-021-00198-3
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1057/s41278-021-00198-3?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. Aleksandar Radic & Michael Lück & Amr Al-Ansi & Bee-Lia Chua & Sabrina Seeler & António Raposo & Jinkyung Jenny Kim & Heesup Han, 2021. "To Dine, or Not to Dine on a Cruise Ship in the Time of the COVID-19 Pandemic: The Tripartite Approach towards an Understanding of Behavioral Intentions among Female Passengers," Sustainability, MDPI, vol. 13(5), pages 1-17, February.
    2. Feng, Mingxiang & Shaw, Shih-Lung & Peng, Guojun & Fang, Zhixiang, 2020. "Time efficiency assessment of ship movements in maritime ports: A case study of two ports based on AIS data," Journal of Transport Geography, Elsevier, vol. 86(C).
    3. Rosa-Jiménez, Carlos & Perea-Medina, Beatriz & Andrade, María J. & Nebot, Nuria, 2018. "An examination of the territorial imbalance of the cruising activity in the main Mediterranean port destinations: Effects on sustainable transport," Journal of Transport Geography, Elsevier, vol. 68(C), pages 94-101.
    4. Newell, G. F., 1993. "A simplified theory of kinematic waves in highway traffic, part II: Queueing at freeway bottlenecks," Transportation Research Part B: Methodological, Elsevier, vol. 27(4), pages 289-303, August.
    5. Newell, G. F., 1993. "A simplified theory of kinematic waves in highway traffic, part I: General theory," Transportation Research Part B: Methodological, Elsevier, vol. 27(4), pages 281-287, August.
    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. El Bachir Diop & Jérôme Chenal & Stéphane Cédric Koumetio Tekouabou & Rida Azmi, 2022. "Crowdsourcing Public Engagement for Urban Planning in the Global South: Methods, Challenges and Suggestions for Future Research," Sustainability, MDPI, vol. 14(18), pages 1-21, September.

    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. Seo, Toru & Kawasaki, Yutaka & Kusakabe, Takahiko & Asakura, Yasuo, 2019. "Fundamental diagram estimation by using trajectories of probe vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 122(C), pages 40-56.
    2. Huanping Li & Jian Wang & Guopeng Bai & Xiaowei Hu, 2021. "Exploring the Distribution of Traffic Flow for Shared Human and Autonomous Vehicle Roads," Energies, MDPI, vol. 14(12), pages 1-21, June.
    3. Wang, Hongping & Fang, Yi-Ping & Zio, Enrico, 2022. "Resilience-oriented optimal post-disruption reconfiguration for coupled traffic-power systems," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
    4. Cassidy, Michael J. & Jang, Kitae & Daganzo, Carlos F., 2010. "The smoothing effect of carpool lanes on freeway bottlenecks," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(2), pages 65-75, February.
    5. Ma, Tao & Zhou, Zhou & Antoniou, Constantinos, 2018. "Dynamic factor model for network traffic state forecast," Transportation Research Part B: Methodological, Elsevier, vol. 118(C), pages 281-317.
    6. Pedro Cesar Lopes Gerum & Andrew Reed Benton & Melike Baykal-Gürsoy, 2019. "Traffic density on corridors subject to incidents: models for long-term congestion management," EURO Journal on Transportation and Logistics, Springer;EURO - The Association of European Operational Research Societies, vol. 8(5), pages 795-831, December.
    7. Kim, T. & Zhang, H.M., 2008. "A stochastic wave propagation model," Transportation Research Part B: Methodological, Elsevier, vol. 42(7-8), pages 619-634, August.
    8. Yan, Qinglong & Sun, Zhe & Gan, Qijian & Jin, Wen-Long, 2018. "Automatic identification of near-stationary traffic states based on the PELT changepoint detection," Transportation Research Part B: Methodological, Elsevier, vol. 108(C), pages 39-54.
    9. Jang, Kitae & Cassidy, Michael J., 2012. "Dual influences on vehicle speed in special-use lanes and critique of US regulation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(7), pages 1108-1123.
    10. Mads Paulsen & Thomas Kjær Rasmussen & Otto Anker Nielsen, 2022. "Including Right-of-Way in a Joint Large-Scale Agent-Based Dynamic Traffic Assignment Model for Cars and Bicycles," Networks and Spatial Economics, Springer, vol. 22(4), pages 915-957, December.
    11. Ruru Xing & Yihan Zhang & Xiaoyu Cai & Jupeng Lu & Bo Peng & Tao Yang, 2023. "Vehicle-Trajectory Prediction Method for an Extra-Long Tunnel Based on Section Traffic Data," Sustainability, MDPI, vol. 15(8), pages 1-30, April.
    12. Flötteröd, G. & Osorio, C., 2017. "Stochastic network link transmission model," Transportation Research Part B: Methodological, Elsevier, vol. 102(C), pages 180-209.
    13. Taylor, Jeffrey & Zhou, Xuesong & Rouphail, Nagui M. & Porter, Richard J., 2015. "Method for investigating intradriver heterogeneity using vehicle trajectory data: A Dynamic Time Warping approach," Transportation Research Part B: Methodological, Elsevier, vol. 73(C), pages 59-80.
    14. Canepa, Edward S. & Claudel, Christian G., 2017. "Networked traffic state estimation involving mixed fixed-mobile sensor data using Hamilton-Jacobi equations," Transportation Research Part B: Methodological, Elsevier, vol. 104(C), pages 686-709.
    15. Yin, Ruyang & Zheng, Nan & Liu, Zhiyuan, 2022. "Estimating fundamental diagram for multi-modal signalized urban links with limited probe data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 606(C).
    16. Jiang, Chenming & Bhat, Chandra R. & Lam, William H.K., 2020. "A bibliometric overview of Transportation Research Part B: Methodological in the past forty years (1979–2019)," Transportation Research Part B: Methodological, Elsevier, vol. 138(C), pages 268-291.
    17. Daganzo, Carlos F., 2010. "On the Stability of Freeway Traffic," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt4vf597r5, Institute of Transportation Studies, UC Berkeley.
    18. Bliemer, Michiel C.J. & Raadsen, Mark P.H., 2020. "Static traffic assignment with residual queues and spillback," Transportation Research Part B: Methodological, Elsevier, vol. 132(C), pages 303-319.
    19. Hao, Peng & Ban, Xuegang, 2015. "Long queue estimation for signalized intersections using mobile data," Transportation Research Part B: Methodological, Elsevier, vol. 82(C), pages 54-73.
    20. Cassidy, Michael J & Jang, Kitae & Daganzo, Carlos F, 2008. "The Smoothing Effect of Carpool Lanes on Freeway Bottlenecks," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt6fk4s29c, Institute of Transportation Studies, UC Berkeley.

    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:pal:marecl:v:24:y:2022:i:3:d:10.1057_s41278-021-00198-3. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.palgrave-journals.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.