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With Whom Transport Operators Should Partner? An Urban Mobility and Services Geolocation Data Analysis

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Intelligent Transport Systems, From Research and Development to the Market Uptake (INTSYS 2018)

Abstract

Automated Fare Collection (AFC) systems produce a large amount of very detailed data, which analysis may be very useful to authorities and transport planners to define future service delivery strategies. Such analysis can be further improved by relating to other data sources, such as points-of-interest (POI) data. As a result public transport operators are able to identify the city service providers with whom it would be more interesting to establish partnerships and propose joint value propositions benefiting both service providers. The objective of such partnerships is to attract new customers and retain those that already exist by providing combined offers, discounts or loyalty schemes. The potential of such analysis is demonstrated by using data related to the city of Porto, Portugal. This study relies on two different data sources: AFC system data and points-of interest data. Urban mobility data is used to identify mobility patterns of different segments of passengers and points-of-interest data is used to analyse the type of services that are likely to concentrate around public transport stations. The results allowed to identify the potential city services to establish partnerships according to the mobility profiles of passengers and the concentration levels of services around public transport stations.

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Notes

  1. 1.

    www.visitberlin.de/en/berlin-welcome-card.

  2. 2.

    www.hvv.de/en/tickets/single-day-tickets/hamburg-card/.

References

  1. Nunes, A.A., Dias, T.G., e Cunha, J.F.: Passenger journey destination estimation from automated fare collection system data using spatial validation. IEEE Trans. Intell. Transp. Syst. 17(1), 133–142 (2016)

    Article  Google Scholar 

  2. Lathia, N., Smith, C., Froehlich, J., Capra, L.: Individuals among commuters: building personalised transport information services from fare collection systems. Pervasive Mob. Comput. 9(5), 643–664 (2013)

    Article  Google Scholar 

  3. Munizaga, M., Devillaine, F., Navarrete, C., Silva, D.: Validating travel behavior estimated from smartcard data. Transp. Res. Part C Emerg. Technol. 44, 70–79 (2014)

    Article  Google Scholar 

  4. Lee, S.G., Hickman, M.: Travel pattern analysis using smart card data of regular users. In: 90th Annual Meeting of the Transportation Research Board, no. 520 (2011)

    Google Scholar 

  5. Van Oort, N., Cats, O.: Improving public transport decision making, planning and operations by using big data: cases from Sweden and the Netherlands. In: Proceedings of IEEE Conference on Intelligent Transportation Systems, ITSC, vol. 2015–Octob, pp. 19–24 (2015)

    Google Scholar 

  6. Seik, F.T.: A unique demand management instrument in urban transport: the vehicle quota system in Singapore. Cities 15(1), 27–39 (1998)

    Article  Google Scholar 

  7. Mahendra, A.: Vehicle restrictions in four latin American cities: is congestion pricing possible? Transp. Rev. 28(1), 105–133 (2008)

    Article  Google Scholar 

  8. Chu, S.: Car restraint policies and mileage in Singapore. Transp. Res. Part A Policy Pract. 77, 404–412 (2015)

    Article  Google Scholar 

  9. Beale, J.R., Bonsall, P.W.: Marketing in the bus industry: a psychological interpretation of some attitudinal and behavioural outcomes. Transp. Res. Part F Traffic Psychol. Behav. 10(4), 271–287 (2007)

    Article  Google Scholar 

  10. Taniguchi, A., Fujii, S.: Promoting public transport using marketing techniques in mobility management and verifying their quantitative effects. Transp. (AMST) 34(1), 37–49 (2007)

    Google Scholar 

  11. Ibraeva, A., de Sousa, J.F.: Marketing of public transport and public transport information provision. Procedia - Soc. Behav. Sci. 162(Panam), 121–128 (2014)

    Article  Google Scholar 

  12. Campos Ferreira, M., Galvão Dias, T.: How to encourage the use of public transport? A multiservice approach based on mobile technologies. Lect. Notes Bus. Inf. Process. 201, 314–325 (2015)

    Article  Google Scholar 

  13. Campos Ferreira, M., Costa, V., Dias, T.G., Falcão E Cunha, J.: Understanding commercial synergies between public transport and services located around public transport stations. Transp. Res. Procedia 27, 125–132 (2017)

    Article  Google Scholar 

  14. Páez, A., Trépanier, M., Morency, C.: Geodemographic analysis and the identification of potential business partnerships enabled by transit smart cards. Transp. Res. Part A Policy Pract. 45(7), 640–652 (2011)

    Article  Google Scholar 

  15. Transportes Intermodais do Porto. Relatório e Contas (2013)

    Google Scholar 

  16. TfL: Transport assessment best practice, guidance document (2010)

    Google Scholar 

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Acknowledgements

The authors thank Transportes Intermodais do Porto for providing the AFC system data necessary for this work.

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Correspondence to Marta Campos Ferreira .

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Ferreira, M.C., Dias, T.G., e Cunha, J.F. (2019). With Whom Transport Operators Should Partner? An Urban Mobility and Services Geolocation Data Analysis. In: Ferreira, J., Martins, A., Monteiro, V. (eds) Intelligent Transport Systems, From Research and Development to the Market Uptake. INTSYS 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 267. Springer, Cham. https://doi.org/10.1007/978-3-030-14757-0_10

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  • DOI: https://doi.org/10.1007/978-3-030-14757-0_10

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