Build an app and they will come? Lessons learnt from trialling the GetThereBus app in rural communities

Build an app and they will come? Lessons learnt from trialling the GetThereBus app in rural communities

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Real-time passenger information (RTPI) systems have been identified as having benefits in terms of passenger willingness to travel by public transport and their satisfaction levels with services provided. The lack of this amenity in rural areas, however, may hamper public transport use, thus reinforcing patterns of over-reliance on personal vehicles. To explore the potential impacts of providing RTPI in rural areas, a smartphone application (GetThereBus) was developed to allow rural bus passengers to share real-time public transport data, and access real-time and timetable information. Through user testing of GetThereBus, this work aimed to address questions related to the impact of the limited availability of rural digital infrastructure on the provision of RTPI; the potential for crowdsourced information to supplement published timetable information given digital limitations; and the potential impacts of such a system on the traveller experience. This study describes the GetThereBus development and evaluation phases. The authors found it was possible to design and develop a system that overcame many of the technological limitations experienced in rural areas, and users reported a positive response to the system. However, despite a campaign of user engagement, it proved difficult to recruit and motivate sufficient users to provide the data needed to achieve area-wide coverage.


    1. 1)
      • 1. Office for National Statistics: ‘Mid-2014 population estimates: population density of the United Kingdom; estimated resident population’, 2015, Retrieved 20 July 2016 from
    2. 2)
      • 2. Velaga, N., Beecroft, M., Nelson, J.D., et al: ‘Transport poverty meets the digital divide: accessibility and connectivity in rural communities’, J. Transp. Geogr., 2012, 21, pp. 102112.
    3. 3)
      • 3. Philip, L.J., Cottrill, C., Farrington, J.H.: ‘Two-speed Scotland: patterns and implications of the digital divide in contemporary Scotland’, Scot. Geogr. J., 2015, 131, (3-4), pp. 148170.
    4. 4)
      • 4. Scottish Government: ‘Scotland's digital future – supporting the transition to a world-leading digital economy’, 2013. Available at, accessed 20 July 2016.
    5. 5)
      • 5. Schweiger, C.L., Shammout, K.:Strategies for improved traveler information. Transit cooperative research program: report’, vol. 92 (Transportation Research Board, 2003), pp. 2830, Available at
    6. 6)
      • 6. Johnson, C.M., Thomas, E.L.: ‘Automatic vehicle location successful transit applications: a cross-cutting study’ (Federal Transit Administration, US Department of Transportation, 2000), Available at
    7. 7)
      • 7. Lyons, G., Avineri, E., Farag, S., et al: ‘Strategic review of travel information research. Final Report to the DfT, 2007. Available at, accessed 13 May 2017.
    8. 8)
      • 8. Dziekan, K., Kottenhoff, K.: ‘Dynamic at-stop real-time information displays for public transport: effects on customers’, Transp. Res. A, Policy Pract., 2007, 41, (6), pp. 489501.
    9. 9)
      • 9. Tang, L., Thakuriah, P.: ‘Ridership effects of real-time bus information system: a case study in the city of Chicago’, Transp. Res. C, Emerg. Technol., 2012, 22, pp. 146161.
    10. 10)
      • 10. Zhang, F., Shen, Q., Clifton, K.J.: ‘Examination of traveler responses to real-time information about bus arrivals using panel data’, Transp. Res. Rec.: J. Transp. Res. Board, 2008, 2082, pp. 107115.
    11. 11)
      • 11. Watkins, K.E., Ferris, B., Borning, A., et al: ‘Where is my bus? Impact of mobile real-time information on the perceived and actual wait time of transit riders’, Transp. Res. A, Policy Pract., 2011, 45, (8), pp. 839848.
    12. 12)
      • 12. Zhang L., Li, J.-Q., Zhou K, , Gupta, S.D., et al: ‘Traveller information tool with integrated real-Time transit information and multimodal trip planning: design and implementation’, Transp. Res. Rec.: J. Transp. Res. Board, 2011, 2215, pp. 110.
    13. 13)
      • 13. Jimenez, E., Rengifo, D.: Delivering user information in resource-constrained urban transit systems: the case of Ibague, Colombia. Transp. Res. Proc., 2016, 14, pp. 32573264.
    14. 14)
      • 14. Parker, D.: ‘AVL systems for bus transit: update a synthesis of transit practice’ (The National Academies Press, 2008), Available at
    15. 15)
      • 15. Camacho, T.D., Foth, M., Rakotonirainy, A.: ‘Pervasive technology and public transport: opportunities beyond telematics’. IEEE Pervasive Comput., 2013, 12, (1), pp. 1825.
    16. 16)
      • 16. Chatzimilioudis, G., Konstantinidis, A., Laoudias, C., et al: ‘Crowdsourcing with smartphones’, IEEE Internet Comput., 2012, 16, (5), pp. 3644.
    17. 17)
      • 17. ‘How Google Tracks Traffic’ NCTA, July 2013, Available at, accessed 20 July 2016.
    18. 18)
      • 18. Zhang, X.M., Zhu, F.: ‘Group size and incentives to contribute: a natural experiment at Chinese Wikipedia’, Am. Econ. Rev., 2010, 101, (4), pp. 16011615.
    19. 19)
      • 19. Gault, P., Corsar, D., Edwards, P., et al: ‘You'll never ride alone: the role of social media in supporting the bus passenger experience’. Ethnographic Praxis in Industry Conf. Proc., 2014, (1), pp. 199212.
    20. 20)
      • 20. de Vreede, T., Nguyen, C., de Vreede, G.J., et al: ‘A theoretical model of user engagement in crowdsourcing’. Proc. Int. Conf. on Collaboration and Technology (CRIWG 2013), Wellington, New Zealand, October 2013, pp. 94109.
    21. 21)
      • 21. Majchrzak, A., Malhotra, A.: ‘Towards an information systems perspective and research agenda on crowdsourcing for innovation’, J. Strateg. Inf. Syst., 2013, 22, (4), pp. 257268.
    22. 22)
      • 22. Hossain, M.: ‘Users’ motivation to participate in online crowdsourcing platforms’. IEEE Int. Conf. on Innovation Management and Technology Research (ICIMTR), Malacca, Malaysia, 2012, pp. 310315.
    23. 23)
      • 23. Biagioni, J., Gerlich, T., Merrifield, T., et al: ‘EasyTracker: automatic transit tracking, mapping, and arrival time prediction using smartphones’. Proc. 9th ACM Conf. on Embedded Networked Sensor Systems – SenSys'11, Seattle, USA, November 2011, pp. 6881.
    24. 24)
      • 24. Hsiao, H.J., Huang, Y.F., Deng, H.S., et al: ‘Intelligent bus information service with the support of mobile social community on the internet’. IEEE 8th Int. Conf. on Ubi-Media Computing (UMEDIA), Colombo, Sri Lanka, August 2015, pp. 6165.
    25. 25)
      • 25. Holdsworth, N., Enoch, M.P., Ison, S.G.: ‘Examining the political and practical reality of bus-based real time passenger information’, Transp. Plan. Technol., 2007, 30, (2-3), pp. 183204.
    26. 26)
      • 26. Namiot, D., Sneps-Sneppe, M.: ‘Geofence and network proximity’. Internet of Things, Smart Spaces, and Next Generation Networking: 13th Int. Conf., NEW2AN 2013 and 6th Conf., ruSMART 2013, St Petersburg, Russia, 2013, pp. 117127.
    27. 27)
      • 27. Ghorpade, A., Pereira, F.C., Zhao, F., et al: ‘An integrated stop-mode detection algorithm for real world smartphone-based travel survey’. Transportation Research Board 94th Annual Meeting, Washington DC, USA, January 2015, 15-6021.
    28. 28)
      • 28. Shin, D., Aliaga, D., Tunçer, B., et al: ‘Urban sensing: using smartphones for transportation mode classification’, Comput. Environ. Urban Syst., 2015, 53, pp. 7686.
    29. 29)
      • 29. Gault, P., Corsar, D., Edwards, P., et al: ‘Providing older adults with real-Time passenger information via SMS’. Proc. Re-Imagining Commonly Used Mobile Interfaces for Older Adults Workshop at Mobile (CHI 2014), Toronto, Canada, September 2014.
    30. 30)
      • 30. Scottish Government: ‘Scottish government urban/rural classification, 2013–2014 8-fold classification’, 2014, Available at, accessed 20 July 2016.
    31. 31)
      • 31. Papangelis, K., Velaga, N.R., Sripada, S., et al: ‘Supporting rural public transport users during disruptions: the role of real time information’. Transportation Research Board 92nd Annual Meeting, Washington DC, USA, January 2013, 13-2964.
    32. 32)
      • 32. Papangelis, K., Sripada, S., Corsar, D., et al: ‘Developing a real time passenger information system for rural areas’, in Yamamoto, S. (Ed.): ‘Human interface and the management of information. information and interaction for health, safety, mobility and complex environments’, vol. 8017 (Springer, Berlin, Heidelberg, 2013), pp. 153162.
    33. 33)
      • 33. ‘Our Scottish Borders’, New Ways, Available at, accessed 20 July 2016.
    34. 34)
      • 34. ‘The Open Definition’, Open Knowledge Int., Available at, accessed 20 July 2016.
    35. 35)
      • 35. Corsar, D., Edwards, P., Nelson, J., et al: ‘Linking open data and the crowd for real-time passenger information’, J. Web Semant.: Sci. Serv. Agents World Wide Web, 2017, 43, pp. 1824.
    36. 36)
      • 36. Corsar, D., Edwards, P., Nelson, J.D., et al: ‘Mobile phones, sensors & the crowd: lessons learnt from development of a real-time travel information system’. Proc. First Int. Conf. on IoT in Urban Space, Int. Conf. Sensing Technology (ICST), Rome, Italy, October 2014, pp. 99101.
    37. 37)
      • 37. Corsar, D., Edwards, P., Baillie, C., et al: ‘Short paper: citizen sensing within a real time passenger information system’. Proc. 6th Int. Workshop on Semantic Sensor Networks, CEUR Workshop Proc., Sydney, Australia, October 2013, pp. 7782.
    38. 38)
      • 38. Papangelis, K., Nelson, J.D., Sripada, S., et al: ‘The effects of mobile real time information on rural passengers’, Transp. Plan. Technol., 2016, 39, (1), pp. 97114.

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