IDEAS home Printed from https://ideas.repec.org/a/eee/jotrge/v123y2025ics0966692324003065.html
   My bibliography  Save this article

Distance-decay function alternatives based on mobile phone location data

Author

Listed:
  • Halás, Marián

Abstract

This article evaluates the distance-decay functions of regional centres in the Czech Republic based on mobile phone location data. Therefore, it expands on what is known about the influence of regional centres where mobile phone location data enables many new parameters to be evaluated. The temporality of people flows can be distinguished, the examined flows can be divided into daily and weekend flows, etc. The daily flows are distinctly limited by time and can be further split into regular flows (work, school) and irregular flows (day trips, work trips, etc.). In general, the temporality of flows has a basic influence on the shape and development of the distance-decay function as a limiting factor. The mobile phone location data's character also allows for the confrontation of centripetal and centrifugal flows. The results show a disproportionate distribution of these two directions for regular daily flows and weekend flows. On the contrary, the irregular daily flows centripetal and centrifugal directions are distributed proportionally, and these flow directions also do not have a more distinct influence on the distance-decay function's development. In addition to the original radius of the influence parameter, the definition and quantification of the parameter determining the spatial influence of a regional centre, i.e., the area of influence, is the article's methodological added value.

Suggested Citation

  • Halás, Marián, 2025. "Distance-decay function alternatives based on mobile phone location data," Journal of Transport Geography, Elsevier, vol. 123(C).
    • Handle: RePEc:eee:jotrge:v:123:y:2025:i:c:s0966692324003065
    DOI: 10.1016/j.jtrangeo.2024.104097
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0966692324003065
    Download Restriction: no
    File URL: https://libkey.io/10.1016/j.jtrangeo.2024.104097?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
    ---><---

    References listed on IDEAS

    as
    1. Halás, Marián & Klapka, Pavel & Kladivo, Petr, 2014. "Distance-decay functions for daily travel-to-work flows," Journal of Transport Geography, Elsevier, vol. 35(C), pages 107-119.
    2. Cheng, Jianquan & Bertolini, Luca, 2013. "Measuring urban job accessibility with distance decay, competition and diversity," Journal of Transport Geography, Elsevier, vol. 30(C), pages 100-109.
    3. Šveda, Martin & Madajová, Michala Sládeková, 2023. "Estimating distance decay of intra-urban trips using mobile phone data: The case of Bratislava, Slovakia," Journal of Transport Geography, Elsevier, vol. 107(C).
    4. Cassel, Susanna Heldt & Macuchova, Zuzana & Rudholm, Niklas & Rydell, Alexis, 2013. "Willingness to commute long distance among job seekers in Dalarna, Sweden," Journal of Transport Geography, Elsevier, vol. 28(C), pages 49-55.
    5. Ibeas, Ángel & Cordera, Ruben & dell’Olio, Luigi & Coppola, Pierluigi, 2013. "Modelling the spatial interactions between workplace and residential location," Transportation Research Part A: Policy and Practice, Elsevier, vol. 49(C), pages 110-122.
    6. Gutiérrez, Javier & Cardozo, Osvaldo Daniel & García-Palomares, Juan Carlos, 2011. "Transit ridership forecasting at station level: an approach based on distance-decay weighted regression," Journal of Transport Geography, Elsevier, vol. 19(6), pages 1081-1092.
    7. Martínez, L. Miguel & Viegas, José Manuel, 2013. "A new approach to modelling distance-decay functions for accessibility assessment in transport studies," Journal of Transport Geography, Elsevier, vol. 26(C), pages 87-96.
    8. Klapka, Pavel & Kraft, Stanislav & Halás, Marián, 2020. "Network based definition of functional regions: A graph theory approach for spatial distribution of traffic flows," Journal of Transport Geography, Elsevier, vol. 88(C).
    9. Mamun, Sha A. & Lownes, Nicholas E. & Osleeb, Jeffrey P. & Bertolaccini, Kelly, 2013. "A method to define public transit opportunity space," Journal of Transport Geography, Elsevier, vol. 28(C), pages 144-154.
    10. Jakub Novak & Rein Ahas & Anto Aasa & Siiri Silm, 2013. "Application of mobile phone location data in mapping of commuting patterns and functional regionalization: a pilot study of Estonia," Journal of Maps, Taylor & Francis Journals, vol. 9(1), pages 10-15, March.
    11. Marián Halás & Vojtěch Blažek & Pavel Klapka & Stanislav Kraft, 2021. "Population movements based on mobile phone location data: the Czech Republic," Journal of Maps, Taylor & Francis Journals, vol. 17(1), pages 116-122, January.
    12. Stefan Hennemann, 2013. "Information-rich visualisation of dense geographical networks," Journal of Maps, Taylor & Francis Journals, vol. 9(1), pages 68-75, March.
    Full references (including those not matched with items on IDEAS)

    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. Halás, Marián & Klapka, Pavel & Kladivo, Petr, 2014. "Distance-decay functions for daily travel-to-work flows," Journal of Transport Geography, Elsevier, vol. 35(C), pages 107-119.
    2. Šveda, Martin & Madajová, Michala Sládeková, 2023. "Estimating distance decay of intra-urban trips using mobile phone data: The case of Bratislava, Slovakia," Journal of Transport Geography, Elsevier, vol. 107(C).
    3. Feng Ren & Jinbo Zhang & Xiuyun Yang, 2023. "Study on the Effect of Job Accessibility and Residential Location on Housing Occupancy Rate: A Case Study of Xiamen, China," Land, MDPI, vol. 12(4), pages 1-21, April.
    4. Verma, Rajat & Ukkusuri, Satish V., 2025. "What determines travel time and distance decay in spatial interaction and accessibility?," Journal of Transport Geography, Elsevier, vol. 122(C).
    5. Rajat Verma & Mithun Debnath & Shagun Mittal & Satish V. Ukkusuri, 2024. "Towards a generalized accessibility measure for transportation equity and efficiency," Papers 2404.04985, arXiv.org.
    6. He, Zhangyuan & Zhao, Pengjun & Xiao, Zuopeng & Huang, Xin & Li, Zhaoxiang & Kang, Tingting, 2024. "Exploring the distance decay in port hinterlands under port regionalization using truck GPS data," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 181(C).
    7. Martín-Barroso, David & Núñez-Serrano, Juan A. & Velázquez, Francisco J., 2017. "Firm heterogeneity and the accessibility of manufacturing firms to labour markets," Journal of Transport Geography, Elsevier, vol. 60(C), pages 243-256.
    8. Spencer Leitch & Zhiyuan Wei, 2024. "Improving spatial access to healthcare facilities: an integrated approach with spatial analysis and optimization modeling," Annals of Operations Research, Springer, vol. 341(2), pages 1057-1074, October.
    9. Yang, Xiping & Fang, Zhixiang & Xu, Yang & Yin, Ling & Li, Junyi & Lu, Shiwei, 2019. "Spatial heterogeneity in spatial interaction of human movements—Insights from large-scale mobile positioning data," Journal of Transport Geography, Elsevier, vol. 78(C), pages 29-40.
    10. Nelson, Hal T. & Wikstrom, Kris & Hass, Samantha & Sarle, Kirsten, 2021. "Half-length and the FACT framework: Distance-decay and citizen opposition to energy facilities," Land Use Policy, Elsevier, vol. 101(C).
    11. Jinbao Zhao & Wei Deng & Yan Song & Yueran Zhu, 2014. "Analysis of Metro ridership at station level and station-to-station level in Nanjing: an approach based on direct demand models," Transportation, Springer, vol. 41(1), pages 133-155, January.
    12. Cascetta, Ennio & Cartenì, Armando & Montanino, Marcello, 2016. "A behavioral model of accessibility based on the number of available opportunities," Journal of Transport Geography, Elsevier, vol. 51(C), pages 45-58.
    13. Aris Christodoulou & Panayotis Christidis, 2019. "Measuring Cross-Border Road Accessibility in the European Union," Sustainability, MDPI, vol. 11(15), pages 1-18, July.
    14. Jiri Horak & Jan Tesla & David Fojtik & Vit Vozenilek, 2019. "Modelling Public Transport Accessibility with Monte Carlo Stochastic Simulations: A Case Study of Ostrava," Sustainability, MDPI, vol. 11(24), pages 1-25, December.
    15. Rosik, Piotr & Stępniak, Marcin & Komornicki, Tomasz, 2015. "The decade of the big push to roads in Poland: Impact on improvement in accessibility and territorial cohesion from a policy perspective," Transport Policy, Elsevier, vol. 37(C), pages 134-146.
    16. (Melrose) Pan, Meiyu & Dahal, Pankaj & Lim, Hyeonsup & Pandey, Birat, 2025. "Geospatial analysis of freight accessibility and job attraction: The role of interstate ramps, airports, ports, and rail," Journal of Transport Geography, Elsevier, vol. 123(C).
    17. Bertolaccini, Kelly & Lownes, Nicholas E. & Mamun, Sha A., 2018. "Measuring and mapping transit opportunity: An expansion and application of the Transit Opportunity Index," Journal of Transport Geography, Elsevier, vol. 71(C), pages 150-160.
    18. Salih, Samal Hama & Lee, Jinwoo (Brian), 2022. "Measuring transit accessibility: A dispersion factor to recognise the spatial distribution of accessible opportunities," Journal of Transport Geography, Elsevier, vol. 98(C).
    19. Cascetta, Ennio & Cartenì, Armando & Henke, Ilaria & Pagliara, Francesca, 2020. "Economic growth, transport accessibility and regional equity impacts of high-speed railways in Italy: ten years ex post evaluation and future perspectives," Transportation Research Part A: Policy and Practice, Elsevier, vol. 139(C), pages 412-428.
    20. Wang, Chih-Hao & Chen, Na, 2015. "A GIS-based spatial statistical approach to modeling job accessibility by transportation mode: case study of Columbus, Ohio," Journal of Transport Geography, Elsevier, vol. 45(C), pages 1-11.

    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:jotrge:v:123:y:2025:i:c:s0966692324003065. 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: https://www.journals.elsevier.com/journal-of-transport-geography .

    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.