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Analysing journey-to-work data using complex networks

Author

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  • 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
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    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.
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