A literature review of the passenger benefits of real-time transit information

References

• Azenkot, S., Prasain, S., Borning, A., Fortuna, E., Ladner, R., & Wobbrock, J. (2011). Enhancing independence and safety for blind and deaf-blind public transit riders. Proceedings of CHI, 3247–3256.
   Google Scholar
• Bai, Y., & Kattan, L. (2014). Modeling riders’ behavioral responses to real-time information at light rail transit stations. Transportation Research Record: Journal of the Transportation Research Board, 2412, 82–92.
   Web of Science ®Google Scholar
• Barbeau, S., Borning, A., & Watkins, K. (2014). Onebusaway multi-region – rapidly expanding mobile transit apps to new cities. Journal of Public Transportation, 17(4), 14–34.
   Web of Science ®Google Scholar
• Barbeau, S., Georggi, N., & Winters, P. (2010). Global positioning system integrated with personalized real-time transit information from automatic vehicle location. Transportation Research Record: Journal of the Transportation Research Board, 2143, 168–176.
   Web of Science ®Google Scholar
• Ben-Elia, E., & Avineri, E. (2015). Response to travel information: A behavioural review. Transport Reviews, 35(3), 352–377.
   Web of Science ®Google Scholar
• Brakewood, C., Barbeau, S., & Watkins, K. (2014). An experiment evaluating the impacts of real-time transit information on bus riders in Tampa, Florida. Transportation Research Part A: Policy and Practice, 69, 409–422.
   Web of Science ®Google Scholar
• Brakewood, C., Ghahramani, N., Peters, J., Kwak, E., & Sion, J. (2017). Real-time riders: A first look at user interaction data from the back end of a transit and shared mobility smartphone app. Transportation Research Record: Journal of the Transportation Research Board, 2658, 56–63.
   Web of Science ®Google Scholar
• Brakewood, C., Macfarlane, G., & Watkins, K. (2015). The impact of real-time information on bus ridership in New York City. Transportation Research Part C: Emerging Technologies, 53, 59–75.
   Web of Science ®Google Scholar
• Brakewood, C., Rojas, F., Zegras, P. C., Watkins, K., & Robin, J. (2015). An analysis of commuter rail real-time information in Boston. Journal of Public Transportation, 18(1), 1–20.
   Web of Science ®Google Scholar
• Carrel, A., Halvorsen, A., & Walker, J. L. (2013). Passengers’ perception of and behavioral adaptation to unreliability in public transportation. Transportation Research Record: Journal of the Transportation Research Board, 2351, 153–162.
   Web of Science ®Google Scholar
• Cats, O., Abenoza, R. F., Liu, C., & Susilo, Y. O. (2015). Evolution of satisfaction with public transport and its determinants in Sweden: Identifying priority areas. Transportation Research Record: Journal of the Transportation Research Board, 2538, 86–95.
   Web of Science ®Google Scholar
• Cats, O., & Gkioulou, Z. (2014). Modeling the impacts of public transport reliability and travel information on passengers’ waiting-time uncertainty. EURO Journal on Transportation and Logistics, 0, 1–24. doi: 10.1007/s13676-014-0070-4
   Google Scholar
• Cats, O., Koutsopoulos, H., Burghout, W., & Toledo, T. (2011). Effect of real-time transit information on dynamic path choice of passengers. Transportation Research Record: Journal of the Transportation Research Board, 2217, 46–54.
   Web of Science ®Google Scholar
• Cats, O., & Loutos, G. (2016a). Evaluating the added-value of online bus arrival prediction schemes. Transportation Research Part A: Policy and Practice, 86, 35–55.
   Web of Science ®Google Scholar
• Cats, O., & Loutos, G. (2016b). Real-time bus arrival information system: An empirical evaluation. Journal of Intelligent Transportation Systems: Technology, Planning and Operations, 20(2), 138–151.
   Web of Science ®Google Scholar
• Caulfield, B., & O’Mahony, M. (2009). A stated preference analysis of real-time public transit stop information. Journal of Public Transportation, 12(3), 1–20.
   Google Scholar
• Cham, L., Darido, G., Jackson, D., Laver, R., & Schneck, D. (2006). Real-time bus arrival information systems return-on-investment study. Final Report. Federal Transit Administration.
   Google Scholar
• Chen, D. J. (2012). Measuring the passenger’s benefit of providing the real-time information system of the bus transit. Proceedings of the annual meeting of the Transportation Research Board, Washington, DC.
   Google Scholar
• Chien, S., Ding, Y., & Wei, C. (2002). Dynamic bus arrival time prediction with artificial neural networks. Journal of Transportation Engineering, 128(5), 429–438.
   Web of Science ®Google Scholar
• Chorus, C., Molin, E., & Van Wee, B. (2006). Use and effects of advanced traveller information services (ATIS): a review of the literature. Transport Reviews, 26(2), 127–149.
   Web of Science ®Google Scholar
• Chow, W., Block-Schachter, D., & Hickey, S. (2014). Impacts of real-time passenger information signs in rail stations at the Massachusetts Bay Transportation Authority. Transportation Research Record: Journal of the Transportation Research Board, 2419, 1–10.
   Web of Science ®Google Scholar
• Daigle, J., & Zimmerman, C. (2004). The convergence of transportation, information technology, and visitor experience at Acadia National Park. Journal of Travel Research, 43(2), 151–160.
   Google Scholar
• Dziekan, K., & Kottenhoff, K. (2007). Dynamic at-stop real-time information displays for public transport: Effect on customers. Transportation Research Part A: Policy and Practice, 41(6), 489–501.
   Web of Science ®Google Scholar
• Dziekan, K., & Vermeulen, A. (2006). Psychological effects of and design preferences for real-time information displays. Journal of Public Transportation, 9(1), 1–19.
   Google Scholar
• Estrada, M., Giesen, R., Mauttone, A., Nacelle, E., & Segura, L. (2015). Experimental evaluation of real-time information services in transit systems from the perspective of users. Proceedings of the conference on advanced systems in public transport (CAPST), 1–20.
   Google Scholar
• Fan, Y., Guthrie, A., & Levinson, D. (2016). Waiting time perceptions at transit stops and stations: Effects of basic amenities, gender, and security. Transportation Research Part A: Policy and Practice, 88, 251–264.
   Web of Science ®Google Scholar
• Ferris, B., Watkins K., & Borning A. (2010). Onebusaway: Results from providing real-time arrival information for public transit. Proceedings of CHI, 1807–1816.
   Google Scholar
• Fonzone, A. (2015). What do you do with your app? Study of bus rider decision making with real-time passenger information. Transportation Research Record: Journal of the Transportation Research Board, 2535, 15–24.
   Web of Science ®Google Scholar
• Fonzone, A., & Schmöcker, J.-D. (2014). Effects of transit real-time information usage strategies. Transportation Research Record: Journal of the Transportation Research Board, 2417, 121–129.
   Web of Science ®Google Scholar
• Fries, R., Dunning, A., & Chowdhury, M. (2011). University traveler value of potential real-time transit information. Journal of Public Transportation, 14(2), 29–50.
   Web of Science ®Google Scholar
• Ge, Y., Jabbari, P., MacKenzie, D., & Tao, J. (2017). Effects of a public real-time multi-modal transportation information display on travel behavior and attitudes. Journal of Public Transportation, 20(2), 40–65.
   Web of Science ®Google Scholar
• Georggi, N., Barbeau, S., Gordon, M., & Winters, P. (2011). Evaluating the deployment of a mobile navigation device at four transit agencies in Florida. Proceedings of the annual meeting of the Transportation Research Board, Washington, DC.
   Google Scholar
• Gkiotsalitis, K., & Stathopoulos, A. (2015). A mobile application for real-time multimodal routing under a set of users’ preferences. Journal of Intelligent Transportation Systems, 19(2), 149–166.
   Web of Science ®Google Scholar
• Google. (2018). About Google Scholar. https://scholar.google.com/intl/en/scholar/about.html
   Google Scholar
• Gooze, A., Watkins, K., & Borning, A. (2013). Benefits of real-time transit information and impacts of data accuracy on rider experience. Transportation Research Record: Journal of the Transportation Research Board, 2351, 95–103.
   Web of Science ®Google Scholar
• Harmony, X., & Gayah, V. (2017). Evaluation of real-time transit information systems: An information demand and supply approach. International Journal of Transportation Science and Technology, 6(1), 86–98.
   Google Scholar
• Hickman, M., & Wilson, N. H. M. (1995). Passenger travel time and path choice implications of real-time transit information. Transportation Research Part C: Emerging Technologies, 3(4), 211–226.
   Web of Science ®Google Scholar
• Hill, R. (2000). Realtime passenger information and bus priority system in Cardiff. Proceedings of the 7th world congress on intelligent systems, Turin, Italy.
   Google Scholar
• Holdsworth, N., Enoch, M. P., & Ison, S. G. (2007). Examining the political and practical reality of bus-based real time passenger information. Transportation Planning and Technology, 30(2–3), 183–204.
   Web of Science ®Google Scholar
• Imaz, A., Nurul Habib, K. M., Shalaby, A., & Idris, A. O. (2015). Investigating the factors affecting transit user loyalty. Public Transport, 7, 39–60.
   Web of Science ®Google Scholar
• Islam, M. F., Fonzone, A., MacIver, A., & Dickinson, K. (2017). Modelling factors affecting the use of ubiquitous real-time bus passenger information. Proceedings of the 5th IEEE international conference on models and technologies for intelligent transportation systems (MT-ITS), 827–832.
   Google Scholar
• Ji, Y., He, L., & Zhang, M. (2014). Bus driver’s responses to real-time schedule adherence and the effects of transit reliability. Transportation Research Record: Journal of the Transportation Research Board, 2417, 1–9.
   Web of Science ®Google Scholar
• Ji, Y., Zhang, R., Gao, L., & Fan, Y. (2017). Perception of transfer waiting time at stops and stations in nanjing, China. Proceedings of the annual meeting of the Transportation Research Board, Washington, DC.
   Google Scholar
• Kamga, C., Yazıcı, M. A., & Singhal, A. (2013). Implementation of interactive transit information kiosks at New York city transit facilities: Analysis of user utilization and lessons learned. Transportation Research Part C: Emerging Technologies, 35, 218–231.
   Web of Science ®Google Scholar
• Kaplan, S., Monteiro, M., Anderson, M., Nielsen, O., & Dos Santos, E. (2017). The role of information systems in non-routine transit use of university students: Evidence from Brazil and Denmark. Transportation Research Part A: Policy and Practice, 95, 34–48.
   Web of Science ®Google Scholar
• Kim, J.-K., Lee, B., & Oh, S. (2009). Passenger choice models for analysis of impacts of real-time bus information on crowdedness. Transportation Research Record: Journal of the Transportation Research Board, 2112, 119–126.
   Web of Science ®Google Scholar
• Larsen, O., & Sunde, Ø. (2008). Waiting time and the role and value of information in scheduled transport. Research in Transportation Economics, 23(1), 41–52.
   Google Scholar
• Lehtonen, M., & Kulmala, R. (2002). Benefits of pilot implementation of public transport signal priorities and real-time passenger information. Transportation Research Record: Journal of the Transportation Research Board, 1799, 18–25.
   Web of Science ®Google Scholar
• Lin, W.-H., & Zeng, J. (1999). Experimental study of real-time bus arrival time prediction with GPS data. Transportation Research Record: Journal of the Transportation Research Board, 1666, 101–109.
   Google Scholar
• Liu, Y., Shi, J., & Jian, M. (2017). Understanding visitors’ responses to intelligent transportation system in a tourist city with a mixed ranked logit model. Journal of Advanced Transportation, 2017, 1–13. ‌.
   Web of Science ®Google Scholar
• Maitra, B., Dandapat, S., & Chintakayala, P. (2015). Differences between the perceptions of captive and choice riders toward bus service attributes and the need for segmentation of bus services in Urban India. Journal of Urban Planning and Development, 141(2).
   Web of Science ®Google Scholar
• McCord, M., Mishalani, R., & Ettefagh, M. (2015). Effect of real-time passenger information systems on perceptions of transit’s favorable environmental and traffic reduction roles. Transportation Research Record: Journal of the Transportation Research Board, 2538, 102–109.
   Web of Science ®Google Scholar
• Mehndiratta, S. R., Cluett, C., Kemp, M., & Lappin, J. (2000). Transit watch – bus station video monitors: customer satisfaction evaluation. FHWA Report.
   Google Scholar
• Mishalani, R., Lee, S., & McCord, M. (2000). Evaluating real-time bus arrival information systems. Transportation Research Record: Journal of the Transportation Research Board, 1731, 81–87.
   Google Scholar
• Mishalani, R., McCord, M., & Wirtz, J. (2006). Passenger wait time perceptions at bus stops: Empirical results and impact on evaluating real-time bus arrival information. Journal of Public Transportation, 9(2), 89–106.
   Google Scholar
• Molin, E., & Timmermans, H. (2006). Traveler expectations and willingness-to-pay for web-enabled public transport information services. Transportation Research Part C: Emerging Technologies, 14, 57–67.
   Web of Science ®Google Scholar
• Monzon, A., Hernandez, S., & Cascajo, R. (2013). Quality of bus services performance: Benefits of real time passenger information systems. Transport and Telecommunication, 14(2), 155–166.
   Google Scholar
• Mulley, C., Clifton, G. T., Balbontin, C., & Ma, L. (2017). Information for travelling: Awareness and usage of the various sources of information available to public transport users in NSW. Transportation Research Part A: Policy and Practice, 101, 111–132.
   Web of Science ®Google Scholar
• National Academies of Sciences, Engineering, and Medicine. (2018). About TRID. http://www.trb.org/InformationServices/AboutTRID.aspx
   Google Scholar
• Nuworsoo, C., Sullivan, E., Jia, X., Hockaday, N., & Chapman, B. (2009). A benefit-cost evaluation of smart transit features at small scale transit operations. Proceedings of the annual meeting of the Transportation Research Board, Washington, DC.
   Google Scholar
• Papangelis, K., Nelson, J. D., Sripada, S., & Beecroft, M. (2016). The effects of mobile real-time information on rural passengers. Transportation Planning and Technology, 39(1), 97–114.
   Web of Science ®Google Scholar
• Patterson, D., Liao, L., Gajos, K., Collier, M., Livic, N., Olson, K., Wang, S., Fox, D., & Kautz, H. (2004). Opportunity knocks: A system to provide cognitive assistance with transportation services. Proceedings of UbiComp: Ubiquitous computing, 433–450.
   Google Scholar
• Petrovska, N. (2012). Multimodal real time passenger information of the public transport in Skopje. Proceedings of the 19th ITS world congress, Vienna, Austria.
   Google Scholar
• Politis, I., Papaioannou, P., Basbas, S., & Dimitriadis, N. (2010). Evaluation of a bus passenger information system from the users’ point of view in the city of Thessaloniki, Greece. Research in Transportation Economics, 29(1), 249–255.
   Google Scholar
• Rahman, M. M., Kattan, L., & Wirasinghe, S. C. (2017). Bus users’ attitudes toward a newly implemented real-time bus information system. Proceedings of the annual meeting of the Transportation Research Board, Washington, DC.
   Google Scholar
• Rahman, M. M., Wirasinghe, S. C., & Kattan, L. (2013). Users’ views on current and future real-time bus information systems. Journal of Advanced Transportation, 47, 336–354.
   Web of Science ®Google Scholar
• Reed, T. (1995). Reduction in the burden of waiting for public transit due to real-time schedule information: A conjoint analysis study. Pacific rim TransTech conference. 1995 vehicle navigation and information systems conference proceedings. 6th international VNIS. A ride into the future, Seattle, WA, 83–89.
   Google Scholar
• Schweiger, C. (2003). TCRP Synthesis 48: Real-time bus arrival information systems. Transit Cooperative Research Program of the Transportation Research Board, Washington, D.C.
   Google Scholar
• Schweiger, C. (2011). TCRP Synthesis 91: Use and deployment of mobile device technology for real-time transit information. Transit Cooperative Research Program of the Transportation Research Board, Washington, D.C.
   Google Scholar
• Sochor, J. (2014). The reassuring effects of ICT in public transportation: The perspectives of older adults. Proceedings of the annual meeting of the Transportation Research Board, Washington, DC.
   Google Scholar
• Steinfeld, A., Zimmerman, J., Tomasic, A., Yoo, D., & Dar Aziz, R. (2011). Mobile transit information from universal design and crowdsourcing. Transportation Research Record: Journal of the Transportation Research Board, 2217, 95–102.
   Web of Science ®Google Scholar
• Tang, L., Ross, H., & Han, X. (2012). Substitution or complementarity: An examination of the ridership effects of real-time bus information on transit rail in the city of Chicago. Proceedings of the annual meeting of the Transportation Research Board, Washington, DC.
   Google Scholar
• Tang, L., & Thakuriah, P. (2007). Relationship of attitudes towards road and transit capital investments and propensity to ride transit given traveler information. Proceedings of the annual meeting of the Transportation Research Board, Washington, DC.
   Google Scholar
• Tang, L., & Thakuriah, P. (2011). Will psychological effects of real-time transit information systems lead to ridership gain? Transportation Research Record: Journal of the Transportation Research Board, 2216, 67–74.
   Web of Science ®Google Scholar
• Tang, L., & Thakuriah, P. (2012). Ridership effects of real-time bus information system: A case study in the city of Chicago. Transportation Research Part C: Emerging Technologies, 22, 146–161.
   Web of Science ®Google Scholar
• Tomasic, A., Zimmerman, J., Garrod, C., Huang, Y., Nip, T., & Steinfeld, A. (2015). The performance of a crowdsourced transportation information system. Proceedings of the annual meeting of the Transportation Research Board, Washington, DC.
   Google Scholar
• Trozzi, V., Gentile, G., Kaparias, I., & Bell, M. (2013). Route choice model and algorithm for dynamic assignment in overcrowded bus networks with real-time information at stops. Proceedings of the annual meeting of the Transportation Research Board, Washington, DC.
   Google Scholar
• Turnbull, K. (2003). TCRP Report 95: traveler response to transportation system changes. Chapter 11 – Transit information and promotion. Transit Cooperative Research Program of the Transportation Research Board, Washington, D.C.
   Google Scholar
• Velaga, N., Beecroft, M., Nelson, J., Corsar, D., & Edwards, P. (2012). Transport poverty meets the digital divide: Accessibility and connectivity in rural communities. Journal of Transport Geography, 21, 102–112.
   Web of Science ®Google Scholar
• Wang, J.-Y., & Wu, T.-L. (2013). The effects of changes in passenger habit with the real-time transit information service. Proceedings of the 20th ITS world congress, Tokyo, Japan.
   Google Scholar
• Watkins, K., Borning, A., Rutherford, S., Ferris, B., & Gill, B. (2013). Attitudes of bus operators towards real-time transit information tools. Transportation, 40(5), 961–980.
   Web of Science ®Google Scholar
• Watkins, K., Ferris, B., Borning, A., Rutherford, G. S., & Layton, D. (2011). Where is my bus? Impact of mobile real-time information on the perceived and actual wait time of transit riders. Transportation Research Part A: Policy and Practice, 45(8), 839–848.
   Web of Science ®Google Scholar
• Welde, M., Foss, T., & Tveit, O. (2011). Evaluating the impacts of real time passenger information and bus signal priority in trondheim. Proceedings of the 18th ITS world congress, Orlando, Florida.
   Google Scholar
• Whitelegg, J. (2016). World Transport Policy and Practice. Chapter 17: Travel and passenger information. Volume 22.1/2.
   Google Scholar
• Yu, B., Li, T., Kong, L., Wang, K., & Wu, Y. (2015). Passenger boarding choice prediction at a bus hub with real-time information. Transportmetrica B: Transport Dynamics, 3(3), 192–221.
   Web of Science ®Google Scholar
• Zargayouna, M., Othman, A., Scemama, G., & Zeddini, B. (2015). Impact of travelers information level on disturbed transit networks: A multiagent simulation. Proceedings of IEEE 18th international conference on intelligent transportation systems.
   Google Scholar
• Zhang, Y. (2015). Real time crowding information (RTCI) provision (Master of Science Thesis). Royal Institute of Technology, Stockholm, Sweden.
   Google Scholar
• Zhang, L., Jing-Quan, L., Zhou, K., Gupta, S. D., Li, M., Zhang, W.-B., … Misener, J. (2011). Traveler information tool with integrated real-time transit information and multimodal trip planning: Design and implementation. Transportation Research Record: Journal of the Transportation Research Board, 2215, 1–10.
   Web of Science ®Google Scholar
• Zhang, F., Shen, Q., & Clifton, K. (2008). Examination of traveler responses to real-time information about bus arrival using panel data. Transportation Research Record: Journal of the Transportation Research Board, 2082, 107–115.
   Web of Science ®Google Scholar
• Zhang, W.-B., Zhang, L., Li, J., & Zhou, K. (2013). Integrating travelers and transit into solutions for congestion relief. Proceedings of the third international conference on urban public transportation systems, Paris, France.
   Google Scholar
• Zito, P., Amato, G., Amoroso, S., & Berrittella, M. (2011). The effect of advanced traveller information systems on public transport demand and its uncertainty. Transportmetrica, 7(1), 31–43.
   Web of Science ®Google Scholar