IDEAS home Printed from https://ideas.repec.org/a/kap/transp/v46y2019i5d10.1007_s11116-018-9906-3.html
   My bibliography  Save this article

A fractional perspective to the modelling of Lisbon’s public transportation network

Author

Listed:
  • António Dinis F. Santos

    (Universidade de Lisboa)

  • Duarte Valério

    (Universidade de Lisboa)

  • J. A. Tenreiro Machado

    (Institute of Engineering, Polytechnic of Porto)

  • António M. Lopes

    (University of Porto)

Abstract

Urban growth originates multiscale spatial patterns, such as those of transportation networks. Here, the public transportation network (PTN) of the city of Lisbon is analysed from 1901 to 2015, employing several mathematical tools. In a first stage, the fractal dimension and the fractional entropy are used to quantify the evolution of the structure of the PTN in space and time. In a second stage, the PTN is analysed adopting additional information, namely considering different levels of the network based on transportation schedule and passenger capacity, and studying the significance of the distance between stops. Both the fractal dimension and the fractional entropy reveal time patterns compatible with known historical events, showing them to be appropriate for quantifying the growth of the PTN. When the routes’ schedules are used to stratify the PTN, not only the fractal behaviour is observed at different levels, but also the evolution of the network in respect to the homogenization of the capacity of different routes. Finally, when the distance between consecutive stops is analysed, a power law behaviour is revealed, as expected from the fractal geometry of the network. This result is then confirmed using the ht-index.

Suggested Citation

  • António Dinis F. Santos & Duarte Valério & J. A. Tenreiro Machado & António M. Lopes, 2019. "A fractional perspective to the modelling of Lisbon’s public transportation network," Transportation, Springer, vol. 46(5), pages 1893-1913, October.
  • Handle: RePEc:kap:transp:v:46:y:2019:i:5:d:10.1007_s11116-018-9906-3
    DOI: 10.1007/s11116-018-9906-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11116-018-9906-3
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11116-018-9906-3?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. Isabelle Thomas & Pierre Frankhauser, 2013. "Fractal Dimensions of the Built-up Footprint: Buildings versus Roads. Fractal Evidence from Antwerp (Belgium)," Environment and Planning B, , vol. 40(2), pages 310-329, April.
    2. TANNIER, Cécile & THOMAS, Isabelle & VUIDEL, Gilles & FRANKHAUSER, Pierre, 2011. "A fractal approach to identifying urban boundaries," LIDAM Reprints CORE 2297, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    3. TANNIER, Cécile & THOMAS, Isabelle, 2013. "Defining and characterizing urban boundaries: a fractal analysis of theoretical cities and Belgian cities," LIDAM Reprints CORE 2521, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    4. Bin Jiang & Junjun Yin, 2014. "Ht-Index for Quantifying the Fractal or Scaling Structure of Geographic Features," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 104(3), pages 530-540, May.
    5. Michael Batty & Kwang Sik Kim, 1992. "Form Follows Function: Reformulating Urban Population Density Functions," Urban Studies, Urban Studies Journal Limited, vol. 29(7), pages 1043-1069, October.
    6. Chen, Yanguang, 2017. "Multi-scaling allometric analysis for urban and regional development," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 673-689.
    7. L Benguigui, 1995. "A Fractal Analysis of the Public Transportation System of Paris," Environment and Planning A, , vol. 27(7), pages 1147-1161, July.
    8. Yongmei Lu & Junmei Tang, 2004. "Fractal Dimension of a Transportation Network and its Relationship with Urban Growth: A Study of the Dallas-Fort Worth Area," Environment and Planning B, , vol. 31(6), pages 895-911, December.
    9. Jian Feng & Yanguang Chen, 2010. "Spatiotemporal Evolution of Urban Form and Land-Use Structure in Hangzhou, China: Evidence from Fractals," Environment and Planning B, , vol. 37(5), pages 838-856, October.
    10. Yanguang Chen & Shiguo Jiang, 2010. "Modeling Fractal Structure of Systems of Cities Using Spatial Correlation Function," International Journal of Artificial Life Research (IJALR), IGI Global, vol. 1(1), pages 12-34, January.
    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. Andrey Karpachevskiy & German Titov & Oksana Filippova, 2021. "Development of A Spatiotemporal Database for Evolution Analysis of the Moscow Backbone Power Grid," Data, MDPI, vol. 6(12), pages 1-14, November.
    2. Ugarte, Juan P. & Tenreiro Machado, J.A. & Tobón, Catalina, 2022. "Fractional generalization of entropy improves the characterization of rotors in simulated atrial fibrillation," Applied Mathematics and Computation, Elsevier, vol. 425(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. Pavón-Domínguez, P. & Rincón-Casado, A. & Ruiz, P. & Camacho-Magriñán, P., 2018. "Multifractal approach for comparing road transport network geometry: The case of Spain," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 510(C), pages 678-690.
    2. François Sémécurbe & Cécile Tannier & Stéphane G. Roux, 2019. "Applying two fractal methods to characterise the local and global deviations from scale invariance of built patterns throughout mainland France," Journal of Geographical Systems, Springer, vol. 21(2), pages 271-293, June.
    3. Chen, Yanguang & Wang, Yihan & Li, Xijing, 2019. "Fractal dimensions derived from spatial allometric scaling of urban form," Chaos, Solitons & Fractals, Elsevier, vol. 126(C), pages 122-134.
    4. Dan Wang & Liang Kong & Zhongsheng Chen & Xia Yang & Mingliang Luo, 2022. "Physical Urban Area Identification Based on Geographical Data and Quantitative Attribution of Identification Threshold: A Case Study in Chongqing Municipality, Southwestern China," Land, MDPI, vol. 12(1), pages 1-18, December.
    5. Chen, Yanguang & Huang, Linshan, 2019. "Modeling growth curve of fractal dimension of urban form of Beijing," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 1038-1056.
    6. Chong Zhao & Yu Li & Min Weng, 2021. "A Fractal Approach to Urban Boundary Delineation Based on Raster Land Use Maps: A Case of Shanghai, China," Land, MDPI, vol. 10(9), pages 1-21, September.
    7. Michael J Dawes & Michael J Ostwald, 2020. "The mathematical structure of Alexander’s A Pattern Language: An analysis of the role of invariant patterns," Environment and Planning B, , vol. 47(1), pages 7-24, January.
    8. Bin Jiang, 2019. "A Recursive Definition of Goodness of Space for Bridging the Concepts of Space and Place for Sustainability," Sustainability, MDPI, vol. 11(15), pages 1-13, July.
    9. Rycx, François & Saks, Yves & Tojerow, Ilan, 2016. "Misalignment of Productivity and Wages across Regions? Evidence from Belgian Matched Panel Data," IZA Discussion Papers 10336, Institute of Labor Economics (IZA).
    10. Taylor M. Oshan & Levi J. Wolf & Mehak Sachdeva & Sarah Bardin & A. Stewart Fotheringham, 2022. "A scoping review on the multiplicity of scale in spatial analysis," Journal of Geographical Systems, Springer, vol. 24(3), pages 293-324, July.
    11. Apostolos Lagarias & Poulicos Prastacos, 2020. "Comparing the urban form of South European cities using fractal dimensions," Environment and Planning B, , vol. 47(7), pages 1149-1166, September.
    12. Janka Lengyel & Seraphim Alvanides & Jan Friedrich, 2023. "Modelling the interdependence of spatial scales in urban systems," Environment and Planning B, , vol. 50(1), pages 182-197, January.
    13. Qi Zhou & Lei Guo, 2018. "Empirical approach to threshold determination for the delineation of built-up areas with road network data," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-25, March.
    14. Dupuy, Gabriel, 2013. "Network geometry and the urban railway system: the potential benefits to geographers of harnessing inputs from “naive” outsiders," Journal of Transport Geography, Elsevier, vol. 33(C), pages 85-94.
    15. Miaoxi Zhao & Gaofeng Xu & Martin de Jong & Xinjian Li & Pingcheng Zhang, 2020. "Examining the Density and Diversity of Human Activity in the Built Environment: The Case of the Pearl River Delta, China," Sustainability, MDPI, vol. 12(9), pages 1-21, May.
    16. Luca Salvati, 2019. "Examining urban functions along a metropolitan gradient: a geographically weighted regression tells you more," Letters in Spatial and Resource Sciences, Springer, vol. 12(1), pages 19-40, April.
    17. Mario Coccia & Barry Bozeman, 2016. "Allometric models to measure and analyze the evolution of international research collaboration," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1065-1084, September.
    18. Chen, Yanguang, 2013. "Fractal analytical approach of urban form based on spatial correlation function," Chaos, Solitons & Fractals, Elsevier, vol. 49(C), pages 47-60.
    19. Nimrod Serok & Orr Levy & Shlomo Havlin & Efrat Blumenfeld-Lieberthal, 2019. "Unveiling the inter-relations between the urban streets network and its dynamic traffic flows: Planning implication," Environment and Planning B, , vol. 46(7), pages 1362-1376, September.
    20. Fleur Visser, 2014. "Rapid mapping of urban development from historic Ordnance Survey maps: An application for pluvial flood risk in Worcester," Journal of Maps, Taylor & Francis Journals, vol. 10(2), pages 276-288, April.

    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:transp:v:46:y:2019:i:5:d:10.1007_s11116-018-9906-3. 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.