IDEAS home Printed from https://ideas.repec.org/a/kap/jgeosy/v23y2021i1d10.1007_s10109-020-00337-z.html
   My bibliography  Save this article

GIS tools and programming languages for creating models of public and private transport potential accessibility in Szczecin, Poland

Author

Listed:
  • Sławomir Goliszek

    (Polish Academy of Sciences)

Abstract

This article presents the results of public and private (car) transport accessibility modelling, which gives the room for the comparison of two types of transport throughout the whole day as well as the rush hours. Both public and private transport models are based on public available data, accessible via the Internet which is downloaded using a programming language and processed using the GIS tools. The public transport model is based on the GTFS data (General Transit Feed Specification), while the car model has been created from data on driving times derived from Google Maps® API. Both models presented in the article have been constructed for a specified period of time, namely from 5.00 am to 10.00 pm in 15-min intervals. The analysis of the above-mentioned models has allowed the comparison of differences in potential accessibility and its deviations at different times of the day. The disparities revealed by the study have indicated that there are certain times of the day when public transport is actually competitive with the private means of transport. The results of potential accessibility analysis are visualised with the use of maps, including the choropleth ones.

Suggested Citation

  • Sławomir Goliszek, 2021. "GIS tools and programming languages for creating models of public and private transport potential accessibility in Szczecin, Poland," Journal of Geographical Systems, Springer, vol. 23(1), pages 115-137, January.
  • Handle: RePEc:kap:jgeosy:v:23:y:2021:i:1:d:10.1007_s10109-020-00337-z
    DOI: 10.1007/s10109-020-00337-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10109-020-00337-z
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s10109-020-00337-z?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. Hadas, Yuval, 2013. "Assessing public transport systems connectivity based on Google Transit data," Journal of Transport Geography, Elsevier, vol. 33(C), pages 105-116.
    2. Michael A. Niedzielski & E. Eric Boschmann, 2014. "Travel Time and Distance as Relative Accessibility in the Journey to Work," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 104(6), pages 1156-1182, November.
    3. Ahmed El-Geneidy & David Levinson, 2007. "Mapping Accessibility Over Time," Working Papers 200709, University of Minnesota: Nexus Research Group.
    4. Lagrell, Ellen & Thulin, Eva & Vilhelmson, Bertil, 2018. "Accessibility strategies beyond the private car: A study of voluntarily carless families with young children in Gothenburg," Journal of Transport Geography, Elsevier, vol. 72(C), pages 218-227.
    5. Andrés Vallone & Coro Chasco & Beatriz Sánchez, 2020. "Strategies to access web-enabled urban spatial data for socioeconomic research using R functions," Journal of Geographical Systems, Springer, vol. 22(2), pages 217-239, April.
    6. Stępniak, Marcin & Pritchard, John P. & Geurs, Karst T. & Goliszek, Sławomir, 2019. "The impact of temporal resolution on public transport accessibility measurement: Review and case study in Poland," Journal of Transport Geography, Elsevier, vol. 75(C), pages 8-24.
    7. 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.
    8. Beria, Paolo & Debernardi, Andrea & Ferrara, Emanuele, 2017. "Measuring the long-distance accessibility of Italian cities," Journal of Transport Geography, Elsevier, vol. 62(C), pages 66-79.
    9. Allen, Jeff & Farber, Steven, 2019. "Sizing up transport poverty: A national scale accounting of low-income households suffering from inaccessibility in Canada, and what to do about it," SocArXiv ua2gj, Center for Open Science.
    10. Neutens, Tijs, 2015. "Accessibility, equity and health care: review and research directions for transport geographers," Journal of Transport Geography, Elsevier, vol. 43(C), pages 14-27.
    11. Rosik, Piotr & Pomianowski, Wojciech & Komornicki, Tomasz & Goliszek, Sławomir & Szejgiec-Kolenda, Barbara & Duma, Patryk, 2020. "Regional dispersion of potential accessibility quotient at the intra-European and intranational level. Core-periphery pattern, discontinuity belts and distance decay tornado effect," Journal of Transport Geography, Elsevier, vol. 82(C).
    12. S Kiavash Fayyaz S. & Xiaoyue Cathy Liu & Guohui Zhang, 2017. "An efficient General Transit Feed Specification (GTFS) enabled algorithm for dynamic transit accessibility analysis," PLOS ONE, Public Library of Science, vol. 12(10), pages 1-22, October.
    13. Shirgaokar, Manish, 2014. "Employment centers and travel behavior: exploring the work commute of Mumbai’s rapidly motorizing middle class," Journal of Transport Geography, Elsevier, vol. 41(C), pages 249-258.
    14. Owen, Andrew & Levinson, David M., 2015. "Modeling the commute mode share of transit using continuous accessibility to jobs," Transportation Research Part A: Policy and Practice, Elsevier, vol. 74(C), pages 110-122.
    15. Jinjoo Bok & Youngsang Kwon, 2016. "Comparable Measures of Accessibility to Public Transport Using the General Transit Feed Specification," Sustainability, MDPI, vol. 8(3), pages 1-13, March.
    16. Morton O’Kelly & Michael Niedzielski & Justin Gleeson, 2012. "Spatial interaction models from Irish commuting data: variations in trip length by occupation and gender," Journal of Geographical Systems, Springer, vol. 14(4), pages 357-387, October.
    17. El-Geneidy, Ahmed & Levinson, David & Diab, Ehab & Boisjoly, Genevieve & Verbich, David & Loong, Charis, 2016. "The cost of equity: Assessing transit accessibility and social disparity using total travel cost," Transportation Research Part A: Policy and Practice, Elsevier, vol. 91(C), pages 302-316.
    18. R W Vickerman, 1974. "A Demand Model for Leisure Travel," Environment and Planning A, , vol. 6(1), pages 65-77, February.
    19. Allen, Jeff & Farber, Steven, 2019. "Sizing up transport poverty: A national scale accounting of low-income households suffering from inaccessibility in Canada, and what to do about it," Transport Policy, Elsevier, vol. 74(C), pages 214-223.
    20. García-Albertos, Pedro & Picornell, Miguel & Salas-Olmedo, María Henar & Gutiérrez, Javier, 2019. "Exploring the potential of mobile phone records and online route planners for dynamic accessibility analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 125(C), pages 294-307.
    21. MERCHANT, Deepak K. & NEMHAUSER, George L., 1978. "A model and an algorithm for the dynamic traffic assignment problems," LIDAM Reprints CORE 346, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    22. Karner, Alex, 2018. "Assessing public transit service equity using route-level accessibility measures and public data," Journal of Transport Geography, Elsevier, vol. 67(C), pages 24-32.
    23. Widener, Michael J. & Farber, Steven & Neutens, Tijs & Horner, Mark, 2015. "Spatiotemporal accessibility to supermarkets using public transit: an interaction potential approach in Cincinnati, Ohio," Journal of Transport Geography, Elsevier, vol. 42(C), pages 72-83.
    24. Karst T. Geurs & Kevin J. Krizek & Aura Reggiani (ed.), 2012. "Accessibility Analysis and Transport Planning," Books, Edward Elgar Publishing, number 14718.
    25. Ramos, Raúl & Cantillo, Víctor & Arellana, Julián & Sarmiento, Iván, 2017. "From restricting the use of cars by license plate numbers to congestion charging: Analysis for Medellin, Colombia," Transport Policy, Elsevier, vol. 60(C), pages 119-130.
    26. Xia, Nan & Cheng, Liang & Chen, Song & Wei, XiaoYan & Zong, WenWen & Li, ManChun, 2018. "Accessibility based on Gravity-Radiation model and Google Maps API: A case study in Australia," Journal of Transport Geography, Elsevier, vol. 72(C), pages 178-190.
    27. Rothfeld, Raoul & Straubinger, Anna & Paul, Annika & Antoniou, Constantinos, 2019. "Analysis of European airports’ access and egress travel times using Google Maps," Transport Policy, Elsevier, vol. 81(C), pages 148-162.
    28. Bwire, Hannibal & Zengo, Emil, 2020. "Comparison of efficiency between public and private transport modes using excess commuting: An experience in Dar es Salaam," Journal of Transport Geography, Elsevier, vol. 82(C).
    29. Salonen, Maria & Toivonen, Tuuli, 2013. "Modelling travel time in urban networks: comparable measures for private car and public transport," Journal of Transport Geography, Elsevier, vol. 31(C), pages 143-153.
    30. Deepak K. Merchant & George L. Nemhauser, 1978. "A Model and an Algorithm for the Dynamic Traffic Assignment Problems," Transportation Science, INFORMS, vol. 12(3), pages 183-199, August.
    31. Fransen, Koos & Neutens, Tijs & Farber, Steven & De Maeyer, Philippe & Deruyter, Greet & Witlox, Frank, 2015. "Identifying public transport gaps using time-dependent accessibility levels," Journal of Transport Geography, Elsevier, vol. 48(C), pages 176-187.
    32. Zhangcai Yin & Zhanghaonan Jin & Shen Ying & Sanjuan Li & Qingquan Liu, 2020. "A spatial data model for urban spatial–temporal accessibility analysis," Journal of Geographical Systems, Springer, vol. 22(4), pages 447-468, October.
    33. Roger Vickerman & Klaus Spiekermann & Michael Wegener, 1999. "Accessibility and Economic Development in Europe," Regional Studies, Taylor & Francis Journals, vol. 33(1), pages 1-15.
    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. Goliszek Sławomir & Połom Marcin & Duma Patryk, 2020. "Potential and cumulative accessibility of workplaces by public transport in Szczecin," Bulletin of Geography. Socio-economic Series, Sciendo, vol. 50(50), pages 133-146, December.
    2. Goliszek Sławomir, 2022. "The potential accessibility to workplaces and working-age population by means of public and private car transport in Szczecin," Miscellanea Geographica. Regional Studies on Development, Sciendo, vol. 26(1), pages 31-41, January.

    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. Goliszek Sławomir, 2022. "The potential accessibility to workplaces and working-age population by means of public and private car transport in Szczecin," Miscellanea Geographica. Regional Studies on Development, Sciendo, vol. 26(1), pages 31-41, January.
    2. Goliszek Sławomir & Połom Marcin & Duma Patryk, 2020. "Potential and cumulative accessibility of workplaces by public transport in Szczecin," Bulletin of Geography. Socio-economic Series, Sciendo, vol. 50(50), pages 133-146, December.
    3. Stępniak, Marcin & Pritchard, John P. & Geurs, Karst T. & Goliszek, Sławomir, 2019. "The impact of temporal resolution on public transport accessibility measurement: Review and case study in Poland," Journal of Transport Geography, Elsevier, vol. 75(C), pages 8-24.
    4. Wessel, Nate, 2019. "Accessibility Beyond the Schedule," SocArXiv c4yvx, Center for Open Science.
    5. Ben-Elia, Eran & Benenson, Itzhak, 2019. "A spatially-explicit method for analyzing the equity of transit commuters' accessibility," Transportation Research Part A: Policy and Practice, Elsevier, vol. 120(C), pages 31-42.
    6. Weckström, Christoffer & Kujala, Rainer & Mladenović, Miloš N. & Saramäki, Jari, 2019. "Assessment of large-scale transitions in public transport networks using open timetable data: case of Helsinki metro extension," Journal of Transport Geography, Elsevier, vol. 79(C), pages 1-1.
    7. Xu, Wangtu (Ato) & Li, Yongling & Wang, Hui, 2016. "Transit accessibility for commuters considering the demand elasticities of distance and transfer," Journal of Transport Geography, Elsevier, vol. 56(C), pages 138-156.
    8. Ruqin Yang & Yaolin Liu & Yanfang Liu & Hui Liu & Wenxia Gan, 2019. "Comprehensive Public Transport Service Accessibility Index—A New Approach Based on Degree Centrality and Gravity Model," Sustainability, MDPI, vol. 11(20), pages 1-20, October.
    9. Moyano, Amparo & Martínez, Héctor S. & Coronado, José M., 2018. "From network to services: A comparative accessibility analysis of the Spanish high-speed rail system," Transport Policy, Elsevier, vol. 63(C), pages 51-60.
    10. David Levinson & Hao Wu, 2020. "Towards a general theory of access," Working Papers 2022-01, University of Minnesota: Nexus Research Group.
    11. Shi, Yuji & Blainey, Simon & Sun, Chao & Jing, Peng, 2020. "A literature review on accessibility using bibliometric analysis techniques," Journal of Transport Geography, Elsevier, vol. 87(C).
    12. Da Silva, Diego & Klumpenhouwer, Willem & Karner, Alex & Robinson, Mitchell & Liu, Rick & Shalaby, Amer, 2022. "Living on a fare: Modeling and quantifying the effects of fare budgets on transit access and equity," Journal of Transport Geography, Elsevier, vol. 101(C).
    13. Ryan, Jean & Pereira, Rafael H.M. & Andersson, Magnus, 2023. "Accessibility and space-time differences in when and how different groups (choose to) travel," Journal of Transport Geography, Elsevier, vol. 111(C).
    14. Allen, Jeff & Farber, Steven, 2020. "Planning transport for social inclusion: An accessibility-activity participation approach," SocArXiv ap7wh, Center for Open Science.
    15. Fayyaz, S. Kiavash & Liu, Xiaoyue Cathy & Porter, Richard J., 2017. "Dynamic transit accessibility and transit gap causality analysis," Journal of Transport Geography, Elsevier, vol. 59(C), pages 27-39.
    16. Boisjoly, Geneviève & El-Geneidy, Ahmed, 2016. "Daily fluctuations in transit and job availability: A comparative assessment of time-sensitive accessibility measures," Journal of Transport Geography, Elsevier, vol. 52(C), pages 73-81.
    17. Liu, Rick Zhaoju & Shalaby, Amer, 2024. "Impacts of public transit delays and disruptions on equity seeking groups in Toronto – A time-expanded graph approach," Journal of Transport Geography, Elsevier, vol. 114(C).
    18. Amparo Moyano & Marcin Stępniak & Borja Moya-Gómez & Juan Carlos García-Palomares, 2021. "Traffic congestion and economic context: changes of spatiotemporal patterns of traffic travel times during crisis and post-crisis periods," Transportation, Springer, vol. 48(6), pages 3301-3324, December.
    19. Mansour, Shawky & Alahmadi, Mohammed & Abulibdeh, Ammar, 2022. "Spatial assessment of audience accessibility to historical monuments and museums in Qatar during the 2022 FIFA World Cup," Transport Policy, Elsevier, vol. 127(C), pages 116-129.
    20. Wessel, Nate & Farber, Steven, 2018. "On the Accuracy of Schedule-Based GTFS for Measuring Accessibility," SocArXiv hzgpd, Center for Open Science.

    More about this item

    Keywords

    GTFS; Google maps API; GIS; Potential accessibility; Car model; Public transport model;
    All these keywords.

    JEL classification:

    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • R53 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Public Facility Location Analysis; Public Investment and Capital Stock
    • R42 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government and Private Investment Analysis; Road Maintenance; Transportation Planning
    • L90 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - General
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software

    Statistics

    Access and download statistics

    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:kap:jgeosy:v:23:y:2021:i:1:d:10.1007_s10109-020-00337-z. 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.springer.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.