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Small-world characteristics on transportation networks: a perspective from network autocorrelation


  • Zengwang Xu


  • Daniel Sui



No abstract is available for this item.

Suggested Citation

  • Zengwang Xu & Daniel Sui, 2007. "Small-world characteristics on transportation networks: a perspective from network autocorrelation," Journal of Geographical Systems, Springer, vol. 9(2), pages 189-205, June.
  • Handle: RePEc:kap:jgeosy:v:9:y:2007:i:2:p:189-205
    DOI: 10.1007/s10109-007-0045-1

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    References listed on IDEAS

    1. M. E. J. Newman & D. J. Watts, 1999. "Scaling and Percolation in the Small-World Network Model," Working Papers 99-05-034, Santa Fe Institute.
    2. repec:cor:louvrp:-2168 is not listed on IDEAS
    3. Sean P Gorman & Rajendra Kulkarni, 2004. "Spatial small worlds: new geographic patterns for an information economy," Environment and Planning B: Planning and Design, Pion Ltd, London, vol. 31(2), pages 273-296, March.
    4. Latora, Vito & Marchiori, Massimo, 2002. "Is the Boston subway a small-world network?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 314(1), pages 109-113.
    5. Bin Jiang & Christophe Claramunt, 2004. "Topological analysis of urban street networks," Environment and Planning B: Planning and Design, Pion Ltd, London, vol. 31(1), pages 151-162, January.
    6. PEETERS, Dominique & THOMAS, Isabelle, 2009. "Network autocorrelation," CORE Discussion Papers RP 2168, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    7. A K M Stoneham, 1977. "The Small-World Problem in a Spatial Context," Environment and Planning A, , vol. 9(2), pages 185-195, February.
    8. M. T. Gastner & M. E.J. Newman, 2006. "The spatial structure of networks," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 49(2), pages 247-252, January.
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    Cited by:

    1. Richard Connors & David Watling, 2015. "Assessing the Demand Vulnerability of Equilibrium Traffic Networks via Network Aggregation," Networks and Spatial Economics, Springer, vol. 15(2), pages 367-395, June.
    2. Aldrich, Preston R. & El-Zabet, Jermeen & Hassan, Seerat & Briguglio, Joseph & Aliaj, Enela & Radcliffe, Maria & Mirza, Taha & Comar, Timothy & Nadolski, Jeremy & Huebner, Cynthia D., 2015. "Monte Carlo tests of small-world architecture for coarse-grained networks of the United States railroad and highway transportation systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 438(C), pages 32-39.
    3. Patel Nilanchal & Mukherjee Alok Bhushan, 2015. "Assessment of network traffic congestion through Traffic Congestability Value (TCV): a new index," Bulletin of Geography. Socio-economic Series, De Gruyter Open, vol. 30(30), pages 123-134, December.
    4. Sun, Yeran & Mburu, Lucy & Wang, Shaohua, 2016. "Analysis of community properties and node properties to understand the structure of the bus transport network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 450(C), pages 523-530.
    5. Tao Cheng & James Haworth & Jiaqiu Wang, 2012. "Spatio-temporal autocorrelation of road network data," Journal of Geographical Systems, Springer, vol. 14(4), pages 389-413, October.

    More about this item


    Small-world network; Network autocorrelation; Spatial autocorrelation; C51;

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation


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