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Advances on Urban Mobility Using Innovative Data-Driven Models

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Handbook of Smart Cities

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Abstract

This chapter presents recent experiences using open data from different cities to extract and structure knowledge about several aspects of mobility in urban areas. Most of them are dedicated to Curitiba, Brazil, a large city in Southern Brazil recognized since 1960s as innovative in urban planning and transportation. Three approaches are considered for modeling mobility from open data: complex network models, link stream models, and computing origin–destination in transport and traffic of vehicles. Complex network models of transportation systems reveal structures that characterize patterns in transportation. Links stream models capture the temporal behavior of transportation systems, and provide information about congestion, transfer of passengers, and bunching phenomena. Moreover, this chapter brings research on approaches for characterizing origin and destinations in public and private transport. Based on data from smart card ticketing in public transportation, relevant information is gathered about people using public transport for displacement in different hours of the day. On the other hand, taxi trips recorded during a day can characterize private transport, providing the information to map relevant flows of vehicles in a city with eventual impact on traffic. Results of origin–destination of vehicles in Oporto, Portugal, are presented. The experiences of the successful Smart City Concepts in Curitiba project are reported as well, which represents a triple helix model involving academia, public, and private sectors. Its results are discussed with emphasis on the relationship between partners and how they can be shared across different players that affect urban organization and public policies for urban areas.

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Acknowledgments

The authors thank Curitiba City Hall, URBS, IPPUC, Setransp for providing access to data and technical support, as well as Semida Silveira, coordinator of the project Smart city concepts in Curitiba – Innovation for sustainable mobility and energy efficiency funded by Vinnova in Sweden. This study was financed in part by Coordenação de Aperfeiçoamento de Pessoal de Nivel Superior-Brasil (CAPES) – (013/2012-DINTER UTFPR/IFSC).

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Authors and Affiliations

  1. Universidade Tecnológica Federal do Paraná (UTFPR), Curitiba, Brazil

    Marcelo O. Rosa & Ricardo Lüders

  2. Centro Universitário Dinâmica das Cataratas (UDC), Foz do Iguacu, Brazil

    Anderson A. De-Bona

  3. Instituto Federal de Santa Catarina (IFSC), Joinville, Brazil

    Jeferson L. Curzel

  4. Instituto Federal do Paraná (IFPR), Campo Largo, Brazil

    Luciano U. Pando

  5. Instituto de Pesquisa e Planejamento Urbano de Curitiba (IPPUC), Curitiba, Brazil

    Olga M. Prestes

  6. Department of Informatics, Federal University of Technology, Curitiba, PR, Brazil

    Keiko V. O. Fonseca & Nádia P. Kozievitch

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  1. Marcelo O. Rosa
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  2. Keiko V. O. Fonseca
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  3. Nádia P. Kozievitch
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Correspondence to Marcelo O. Rosa .

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  1. Department of Computer Science, Middlesex University, London, UK

    Juan Carlos Augusto

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Rosa, M.O. et al. (2021). Advances on Urban Mobility Using Innovative Data-Driven Models. In: Augusto, J.C. (eds) Handbook of Smart Cities. Springer, Cham. https://doi.org/10.1007/978-3-030-69698-6_57

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