IDEAS home Printed from https://ideas.repec.org/a/eee/jotrge/v66y2018icp65-79.html
   My bibliography  Save this article

Analysing journey-to-work data using complex networks

Author

Listed:
  • Zhu, Guohun
  • Corcoran, Jonathan
  • Shyy, Paul
  • Pileggi, Salvatore Flavio
  • Hunter, Jane

Abstract

It is well known that journey-to-work (JTW) data can be represented using complex network graphs. What is less evident is the way in which this approach can be used to quantitatively analyse the structure, connectivity and dynamics of commuting behaviour. This paper employs a complex network approach to spatially disaggregated JTW data in order to examine commuting behaviour for six different modes of transport (car, car passengers, train, bus, cycling and walking) within three of the most populous metropolitan areas in Australia. A set of network measures (degree, strength, clustering coefficient, maximum cliques, average shortest path length and betweenness) are computed from both the unweighted and weighted graphs corresponding to JTW data for the Sydney, Melbourne and the South East Queensland regions from the time periods: 2001, 2006 and 2011. Results reveal a number of interesting dynamics, one being that Melbourne exhibits shorter (and presumed to be faster) alternate commuting paths than either Sydney or South East Queensland given its lower betweenness and shortest path values allied with higher clustering coefficients. The interpretation of these metrics demonstrates that complex networks have the capacity to reveal new insights from JTW data, by enabling a more comprehensive, systematic, empirical and fine-grained analysis of changes in commuting behaviour over time.

Suggested Citation

  • Zhu, Guohun & Corcoran, Jonathan & Shyy, Paul & Pileggi, Salvatore Flavio & Hunter, Jane, 2018. "Analysing journey-to-work data using complex networks," Journal of Transport Geography, Elsevier, vol. 66(C), pages 65-79.
    • Handle: RePEc:eee:jotrge:v:66:y:2018:i:c:p:65-79
    DOI: 10.1016/j.jtrangeo.2017.11.006
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0966692317303988
    Download Restriction: no
    File URL: https://libkey.io/10.1016/j.jtrangeo.2017.11.006?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. Maoh, Hanna & Tang, Zhongyuan, 2012. "Determinants of normal and extreme commute distance in a sprawled midsize Canadian city: evidence from Windsor, Canada," Journal of Transport Geography, Elsevier, vol. 25(C), pages 50-57.
    2. Li, Tiebei & Corcoran, Jonathan & Burke, Matthew, 2012. "Disaggregate GIS modelling to track spatial change: exploring a decade of commuting in South East Queensland, Australia," Journal of Transport Geography, Elsevier, vol. 24(C), pages 306-314.
    3. Vincent-Geslin, Stephanie & Ravalet, Emmanuel, 2016. "Determinants of extreme commuting. Evidence from Brussels, Geneva and Lyon," Journal of Transport Geography, Elsevier, vol. 54(C), pages 240-247.
    4. Masucci, A.P. & Rodgers, G.J., 2008. "The network of commuters in London," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(14), pages 3781-3788.
    5. Erling Holden & Ingrid T. Norland, 2005. "Three Challenges for the Compact City as a Sustainable Urban Form: Household Consumption of Energy and Transport in Eight Residential Areas in the Greater Oslo Region," Urban Studies, Urban Studies Journal Limited, vol. 42(12), pages 2145-2166, November.
    6. Cervero, Robert, 1996. "Mixed land-uses and commuting: Evidence from the American Housing Survey," Transportation Research Part A: Policy and Practice, Elsevier, vol. 30(5), pages 361-377, September.
    7. Andrea Montis & Simone Caschili & Alessandro Chessa, 2011. "Time evolution of complex networks: commuting systems in insular Italy," Journal of Geographical Systems, Springer, vol. 13(1), pages 49-65, March.
    8. Patuelli, Roberto & Reggiani, Aura & Nijkamp, Peter & Bade, Franz-Josef, 2010. "The evolution of the commuting network in Germany: Spatial and connectivity patterns," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 2(3), pages 5-37.
    9. Porta, Sergio & Crucitti, Paolo & Latora, Vito, 2006. "The network analysis of urban streets: A dual approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 369(2), pages 853-866.
    10. Robert Cervero, 1995. "Planned Communities, Self-containment and Commuting: A Cross-national Perspective," Urban Studies, Urban Studies Journal Limited, vol. 32(7), pages 1135-1161, August.
    11. Roberto Patuelli & Aura Reggiani & Sean Gorman & Peter Nijkamp & Franz-Josef Bade, 2007. "Network Analysis of Commuting Flows: A Comparative Static Approach to German Data," Networks and Spatial Economics, Springer, vol. 7(4), pages 315-331, December.
    12. Travisi, Chiara M. & Camagni, Roberto & Nijkamp, Peter, 2010. "Impacts of urban sprawl and commuting: a modelling study for Italy," Journal of Transport Geography, Elsevier, vol. 18(3), pages 382-392.
    13. Andrea De Montis & Marc Barthélemy & Alessandro Chessa & Alessandro Vespignani, 2007. "The Structure of Interurban Traffic: A Weighted Network Analysis," Environment and Planning B, , vol. 34(5), pages 905-924, October.
    14. De Montis, Andrea & Chessa, Alessandro & Campagna, Michele & Caschili, Simone & Deplano, Giancarlo, 2010. "Modeling commuting systems through a complex network analysis: A study of the Italian islands of Sardinia and Sicily," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 2(3), pages 39-55.
    15. Maxime Lenormand & Sylvie Huet & Floriana Gargiulo & Guillaume Deffuant, 2012. "A Universal Model of Commuting Networks," PLOS ONE, Public Library of Science, vol. 7(10), pages 1-7, October.
    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. Amedeo Ganciu & Mara Balestrieri & Cristina Imbroglini & Fabrizio Toppetti, 2018. "Dynamics of Metropolitan Landscapes and Daily Mobility Flows in the Italian Context. An Analysis Based on the Theory of Graphs," Sustainability, MDPI, vol. 10(3), pages 1-27, February.
    2. Sui, Yi & Shao, Fengjing & Yu, Xiang & Sun, Rencheng & Li, Shujing, 2019. "Public transport network model based on layer operations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 984-995.
    3. Ferreira, Ronan S. & da Silva, Priscila C.A., 2020. "q-Weibull distributions describing commercial service routes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 541(C).
    4. Zhang, Shanqi & Yang, Yu & Zhen, Feng & Lobsang, Tashi & Li, Zhixuan, 2021. "Understanding the travel behaviors and activity patterns of the vulnerable population using smart card data: An activity space-based approach," Journal of Transport Geography, Elsevier, vol. 90(C).

    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. Amedeo Ganciu & Mara Balestrieri & Cristina Imbroglini & Fabrizio Toppetti, 2018. "Dynamics of Metropolitan Landscapes and Daily Mobility Flows in the Italian Context. An Analysis Based on the Theory of Graphs," Sustainability, MDPI, vol. 10(3), pages 1-27, February.
    2. Ahfeldt, Gabriel M. & Pietrostefani, Elisabetta, 2017. "The compact city in empirical research: A quantitative literature review," LSE Research Online Documents on Economics 83638, London School of Economics and Political Science, LSE Library.
    3. César Ducruet & Laurent Beauguitte, 2014. "Spatial Science and Network Science: Review and Outcomes of a Complex Relationship," Networks and Spatial Economics, Springer, vol. 14(3), pages 297-316, December.
    4. Lenormand, Maxime & Bassolas, Aleix & Ramasco, José J., 2016. "Systematic comparison of trip distribution laws and models," Journal of Transport Geography, Elsevier, vol. 51(C), pages 158-169.
    5. Gabriel M. Ahfeldt & Elisabetta Pietrostefani, 2017. "The Compact City in Empirical Research: A Quantitative Literature Review," SERC Discussion Papers 0215, Centre for Economic Performance, LSE.
    6. Ortuño-Padilla, Armando & Fernández-Aracil, Patricia, 2013. "Impact of fuel price on the development of the urban sprawl in Spain," Journal of Transport Geography, Elsevier, vol. 33(C), pages 180-187.
    7. Ahlfeldt, Gabriel M. & Pietrostefani, Elisabetta, 2019. "The economic effects of density: A synthesis," Journal of Urban Economics, Elsevier, vol. 111(C), pages 93-107.
    8. Andrea CIRILLI & Paolo VENERI, 2010. "Spatial Structure and CO2 Emissions Due to Commuting: an Analysis on Italian Urban Areas," Working Papers 353, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    9. Davide Burgalassi & Tommaso Luzzati, 2015. "Urban spatial structure and environmental emissions: a survey of the literature and some empirical evidence for Italian NUTS-3 regions," Discussion Papers 2015/199, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    10. Isabelle Wachter & Christian Holz-Rau, 2022. "Gender differences in work-related high mobility differentiated by partnership and parenthood status," Transportation, Springer, vol. 49(6), pages 1737-1764, December.
    11. Li, Tiebei & Dodson, Jago & Sipe, Neil, 2015. "Differentiating metropolitan transport disadvantage by mode: Household expenditure on private vehicle fuel and public transport fares in Brisbane, Australia," Journal of Transport Geography, Elsevier, vol. 49(C), pages 16-25.
    12. Aura Reggiani & Pietro Bucci & Giovanni Russo, 2011. "Accessibility and Impedance Forms: Empirical Applications to the German Commuting Network," International Regional Science Review, , vol. 34(2), pages 230-252, April.
    13. Wang, Shiguang & Zheng, Lili & Yu, Dexin, 2017. "The improved degree of urban road traffic network: A case study of Xiamen, China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 256-264.
    14. Piliuk, Anastasiia & Semerikova, Elena & Nastansky, Andreas, 2023. "Determinants of commuting flows in Germany," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 71, pages 99-127.
    15. Delclòs-Alió, Xavier & Miralles-Guasch, Carme, 2017. "Suburban travelers pressed for time: Exploring the temporal implications of metropolitan commuting in Barcelona," Journal of Transport Geography, Elsevier, vol. 65(C), pages 165-174.
    16. Lenormand, Maxime & Huet, Sylvie & Gargiulo, Floriana, 2014. "Generating French virtual commuting networks at the municipality level," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 7(1), pages 43-55.
    17. Giménez-Nadal, José Ignacio & Molina, José Alberto & Velilla, Jorge, 2021. "Two-way commuting: Asymmetries from time use surveys," Journal of Transport Geography, Elsevier, vol. 95(C).
    18. Ji, Shujuan & Wang, Xin & Lyu, Tao & Liu, Xiaojie & Wang, Yuanqing & Heinen, Eva & Sun, Zhenwei, 2022. "Understanding cycling distance according to the prediction of the XGBoost and the interpretation of SHAP: A non-linear and interaction effect analysis," Journal of Transport Geography, Elsevier, vol. 103(C).
    19. Yanchun Yi & Sisi Ma & Weijun Guan & Ke Li, 2017. "An Empirical Study on the Relationship between Urban Spatial Form and CO 2 in Chinese Cities," Sustainability, MDPI, vol. 9(4), pages 1-12, April.
    20. Floriana Gargiulo & Maxime Lenormand & Sylvie Huet & Omar Baqueiro Espinosa, 2012. "Commuting Network Models: Getting the Essentials," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 15(2), pages 1-6.

    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:66:y:2018:i:c:p:65-79. 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.