Abstract
The paper has deal with the problem of public transport network design. Collected data about people’s travelling in urban area opens up new opportunities related to the design of novel solutions for analysing real needs of people. The issue is how to make a rational choice of preferable PTN according to: (i) a set of selected quality criteria; (ii) decision makers preferences. In the paper we propose a multi-criteria decision analysis (MCDA) method adopted for choice of PTN obtained automatically based on geospatial data analysis. The evaluation criteria of the PTN were developed for the particular task: (i) degree of transport demand satisfaction, (ii) coefficient of non-straightness, and (iii) transport network density. This technique was tested on the routes constructed by the expert, as well as on the automatically generated route. The results suggested by the expert and design in automation mode is close to each other in terms of efficiency. It lead to conclusion that data-driven approaches migh be used for urban planning and monitoring with minimal human intervention.
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Acknowledgments
The reported study was partially supported by RFBR, research project Nos. 16-37-60066, 16-07-00388_a and research project MD-6964.2016.9. Authors would like to thank anonymous reviewers for fruitful remarks.
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Parygin, D., Golubev, A., Sadovnikova, N., Shcherbakov, M. (2017). Method GAND: Multi-criteria Analysis for Choice the Most Preferable Geodata-Based Transport Network. In: Alexandrov, D., Boukhanovsky, A., Chugunov, A., Kabanov, Y., Koltsova, O. (eds) Digital Transformation and Global Society. DTGS 2017. Communications in Computer and Information Science, vol 745. Springer, Cham. https://doi.org/10.1007/978-3-319-69784-0_28
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DOI: https://doi.org/10.1007/978-3-319-69784-0_28
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