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Network geometry and the urban railway system: the potential benefits to geographers of harnessing inputs from “naive” outsiders

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  • Dupuy, Gabriel

Abstract

This paper considers a form of scientific interdisciplinarity that brings the experts in one discipline or field into play with uninitiated outsiders from other, unrelated, disciplines – what Edgar Morin might call “naive interdisciplinarity”. The discipline here is network geography and the field the urban railway system (URS), which has benefitted from some significant contributions from “naive” outsiders over the past 50years, such as graphs, fractals and the scale-free network; and which might be able to continue to do so with the promising new amoeboid model. How have those ground-breaking tools developed by mathematicians, physicists and biologists managed to find their way into the mainly geography-based approach of URS experts? After seeking to grasp what has given rise to naive interdisciplinarity and why the experts might turn against it, the paper identifies the conditions for them to set aside their objections and facilitate a transfer of knowledge.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:jotrge:v:33:y:2013:i:c:p:85-94
    DOI: 10.1016/j.jtrangeo.2013.09.012
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    References listed on IDEAS

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    Cited by:

    1. Cats, Oded, 2017. "Topological evolution of a metropolitan rail transport network: The case of Stockholm," Journal of Transport Geography, Elsevier, vol. 62(C), pages 172-183.
    2. Cats, O., 2016. "The robustness value of public transport development plans," Journal of Transport Geography, Elsevier, vol. 51(C), pages 236-246.
    3. Luo, Ding & Cats, Oded & van Lint, Hans & Currie, Graham, 2019. "Integrating network science and public transport accessibility analysis for comparative assessment," Journal of Transport Geography, Elsevier, vol. 80(C).
    4. Cats, Oded & Vermeulen, Alex & Warnier, Martijn & van Lint, Hans, 2020. "Modelling growth principles of metropolitan public transport networks," Journal of Transport Geography, Elsevier, vol. 82(C).
    5. Hong, Liu & Zhong, Xin & Ouyang, Min & Tian, Hui & He, Xiaozheng, 2019. "Vulnerability analysis of public transit systems from the perspective of urban residential communities," Reliability Engineering and System Safety, Elsevier, vol. 189(C), pages 143-156.
    6. Hong, Liu & Ye, Bowen & Yan, Han & Zhang, Hui & Ouyang, Min & (Sean) He, Xiaozheng, 2019. "Spatiotemporal vulnerability analysis of railway systems with heterogeneous train flows," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 725-744.

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