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Page 51
Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2022. Uses of Social Media in Public Transportation. Washington, DC: The National Academies Press. doi: 10.17226/26451.
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Page 52
Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2022. Uses of Social Media in Public Transportation. Washington, DC: The National Academies Press. doi: 10.17226/26451.
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Page52
Page 53
Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2022. Uses of Social Media in Public Transportation. Washington, DC: The National Academies Press. doi: 10.17226/26451.
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Page53

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51   Abellera, L. V., and Panangadan, A. (2016). Analyzing Spread of Influence in Social Networks for Trans- portation Applications. Available at: https://ntlrepository.blob.core.windows.net/lib/62000/62000/62062/ CA16-2875_FinalReport.pdf. Beecroft, M. (2019). The Future Security of Travel by Public Transport: A Review of Evidence. Research in Trans- portation Business and Management, Vol. 32. Bjerkan, K. Y., and Øvstedal, L. R. (2020). Functional Requirements for Inclusive Transport. Transportation, Vol. 47, No. 3, pp. 1177-1198. Blumenberg, E., and Taylor, B. D. (2018). Millennial Travel: Who Knows About Kids These Days? Transfers Magazine, Vol. 1. Bregman, S. (2012). TCRP Synthesis 99: Uses of Social Media in Public Transportation: A Synthesis of Transit Practice. Transportation Research Board of the National Academies, Washington, D.C. Casas, I., and Delmelle, E. C. (2017). Tweeting About Public Transit—Gleaning Public Perceptions from a Social Media Microblog. Case Studies on Transport Policy, Vol. 5, No. 4, pp. 634-642. Chan, R., and Schofer, J. L. (2014). Role of Social Media in Communicating Transit Disruptions. Transportation Research Record: Journal of the Transportation Research Board, No. 2415, pp. 145-151. Chandra, S., Naik, R. T., and Jimenez, J. (2020). Crowdsourcing for Mode Shift: An Empirical Evidence of Its Success Among College Students. Transportation Research Procedia, Elsevier, pp. 1430-1434. Chen, Y., and Yang, J. (2020). Historic Neighborhood Design Based on Facility Heatmap and Pedestrian Simula- tion: Case Study in China. Journal of Urban Planning and Development, Vol. 146, No. 2. Choudhury, N. (2013). A New Age of Communication. International Railway Journal, Vol. 53, No. 4, pp. 45-46. Cottrill, C., Yeboah, G., Nelson, J., Anable, J., and Budd, T. (2017). Tweeting Transit: An Examination of Social Media Strategies for Transport Information Management During a Large Event. Transportation Research Part C: Emerging Technologies, 77, pp. 421-432. Crawford, D. (2013). Technology’s “Passenger Premium.” ITS International, Vol. 19, No. 4, pp. 28-29. Das, S., and Zubaidi, H. (2021). City Transit Rider Tweets: Understanding Sentiments and Politeness. Journal of Urban Technology. Issue 3-4. Dau-Ngo, T., Gonzalez, I., Hilde, L., and Jim, M. (2013). Construction Ahead: Moving Toward Sustainable Trans- portation Management Plans. Second Conference on Green Streets, Highways, and Development, Austin, TX, pp. 368-387. Delbosc, A., and Currie, G. (2015). Does Information and Communication Technology Complement or Replace Social Travel Among Young Adults? Transportation Research Record: Journal of the Transportation Research Board, No. 2531, pp. 76-82. Douglass, J., Dissanayake, D., Coifman, B., Chen, W., and Ali, F. (2018). Measuring the Effectiveness of a Transit Agency’s Social Media Engagement with Travelers. Transportation Research Record: Journal of the Transpor- tation Research Board, No. 2672, pp. 46-55. Ferreira, M. C., Fontesz, T., Costa, V., Dias, T., Borges, J., and e Cunha, J. (2017). Evaluation of an Integrated Mobile Payment, Route Planner and Social Network Solution for Public Transport. Transportation Research Procedia, Vol. 24, pp. 189-196. Gkiotsalitis, K., and Stathopoulos, A. (2016). Demand-Responsive Public Transportation Re-scheduling for Adjusting to the Joint Leisure Activity Demand. International Journal of Transportation Science and Tech- nology, Vol. 5, No. 2, pp. 68-82. Groth, S. (2019). Multimodal Divide: Reproduction of Transport Poverty in Smart Mobility Trends. Transporta- tion Research Part A: Policy and Practice, 125, pp. 56–71. doi: 10.1016/j.tra.2019.04.018. References

52 Uses of Social Media in Public Transportation Haghighi, N. N., Liu, C., Wei, R., and Shao, H. (2018). Using Twitter Data for Transit Performance Assessment: A Framework for Evaluating Transit Riders’ Opinions About Quality of Service. Public Transport, Vol. 10, No. 2, pp. 363-377. Howard, J. M. (2019). Train Tweets: Engaging and Supporting Customers Through Twitter. ETC Confer- ence Papers 2019. 20 pp. Available at: https://aetransport.org/past-etc-papers/conference-papers-2019? abstractId=6509&state=b. Imran, M., Yin, J., and Pearce, J. (2015). Chinese Communities Experiences of Public Transport in Auckland. Available at: http://conf.hardingconsultants.co.nz/workspace/uploads/paper-muhammad-imran-chin- 54f39395e4f50.pdf. Jiang, Z., and Mondschein, A. (2019). Examining the Effects of Proximity to Rail Transit on Travel to Nonwork Destinations: Evidence from Yelp Data for Cities in North America and Europe. Journal of Transport and Land Use, Vol. 12, No. 1, pp. 306-326. Kaufman, S. M., and Moss, M. L. (2014). Use of Web-Based Rider Input for Transit Management in the New York City Region. 28 pp. Available at: http://www.utrc2.org/sites/default/files/pubs/Final-co-monitoring-transit- management.pdf. Kim, W. H., Hyun, K., Zhang, G., and Giarrusso, A. (2019). Social Media Analysis for Transit Assessment. Available at: https://ctedd.uta.edu/wp-content/uploads/2020/01/Kim_final.pdf. Kinawy, S. N., Nik-Bakht, M., and El-Diraby, T. E. (2017). Mismatches in Stakeholder Communication: The Case of the Leslie and Ferrand Transit Stations, Toronto, Canada. Sustainable Cities and Society, Vol. 34, pp. 239-249. Klingen, J. (2019). Do Metro Interruptions Increase the Demand for Public Rental Bicycles? Evidence from Paris. Transportation Research Part A: Policy and Practice, 123, pp. 216-228. Lantz, K., Khan, S., Ngo, L., Chowdhury, M., Donaher, S., and Apon, A. (2015). Potentials of Online Media and Location-Based Big Data for Urban Transit Networks in Developing Countries. Transportation Research Record: Journal of the Transportation Research Board, No. 2537, pp. 52-61. Li, S., Lyu, D., Huang, G., Zhang, X., Gao, F., Chen, Y., and Liu, X. (2020). Spatially Varying Impacts of Built Environment Factors on Rail Transit Ridership at Station Level: A Case Study in Guangzhou, China. Journal of Transport Geography, Vol. 82. Available at: https://doi.org/10.1016/j.jtrangeo.2019.102631. Liu, J. H-I., and Ban, X. (2017). Measuring the Impacts of Social Media on Advancing Public Transit. Available at: http://ppms.trec.pdx.edu/media/project_files/NITC_654_Impacts_of_Social_Media_on_Public_Transit.pdf. Liu, X. C., Wei, R., Wang, L., and Golub, A. (2019). Social-Transportation Analytic Toolbox (STAT) for Transit Networks. Transportation Research and Education Center (TREC). doi: 10.15760/trec.229. Ma, T., Motta, G., and Liu, K. (2017). Delivering Real-Time Information Services on Public Transit: A Frame- work. IEEE Transactions on Intelligent Transportation Systems, Vol. 18, No. 10, pp. 2642-2656. Mahmood, T., Mujtaba, G., Shuib, L., Ali, N., Bawa, A., and Karim, S. (2017). Public Bus Commuter Assistance Through the Named Entity Recognition of Twitter Feeds and Intelligent Route Finding. IET Intelligent Transport Systems, Vol. 11, No. 8, pp. 521-529. Meyer, G., and Shaheen, S. (2017). Disrupting Mobility: Impacts of Sharing Economy and Innovative Transporta- tion on Cities. Springer. Available at: https://trid.trb.org/view/1445764. Ni, M., He, Q., and Gao, J. (2017). Forecasting the Subway Passenger Flow Under Event Occurrences with Social Media. IEEE Transactions on Intelligent Transportation Systems, Vol. 18, No. 6, pp. 1623-1632. Nikolaidou, A., and Papaioannou, P. (2018). Utilizing Social Media in Transport Planning and Public Transit Quality: Survey of Literature. Journal of Transportation Engineering, Part A: Systems, Vol. 144, No. 4. Nisar, T. M., and Prabhakar, G. (2018). Trains and Twitter: Firm Generated Content, Consumer Relationship Management and Message Framing. Transportation Research Part A: Policy and Practice, Vol. 113, pp. 318-334. Osorio-Arjona, J., Horak, J., Svoboda, R., and Garcia-Ruiz, Y. (2021). Social Media Semantic Perceptions on Madrid Metro System: Using Twitter Data to Link Complaints to Space. Sustainable Cities and Society, Vol. 64. Pender, B., Currie, G., Delbosc, A., and Shiwakoti, N. (2014a). International Study of Current and Potential Social Media Applications in Unplanned Passenger Rail Disruptions. Transportation Research Record: Journal of the Transportation Research Board, No. 2419, pp. 118-127. Pender, B., Currie, G., Delbosc, A., and Shiwakoti, N. (2014b). Social Media Use During Unplanned Transit Network Disruptions: A Review of Literature. Transport Reviews, Vol. 34, No. 4, pp. 501-521. Pender, B. M. (2014). Unplanned Urban Passenger Rail Disruption: New Methods and Perspectives on Bus Bridging. 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References 53   Schweitzer, L. (2014). Planning and Social Media: A Case Study of Public Transit and Stigma on Twitter. Journal of the American Planning Association, Vol. 80, No. 3, pp. 218-238. Shafer, A., and Macary, J. (2018). Engaging Youth to Increase Their Transportation System Support, Understanding, and Use. Available at: https://rosap.ntl.bts.gov/view/dot/40986. Stewart, L., and Cochrane, K. (2018). Using Digital Innovation in the Mass Transit System Environment. Available at: http://railknowledgebank.com/Presto/content/Detail.aspx?ctID=MTk4MTRjNDUtNWQ0My00 OTBmLTllYWUtZWFjM2U2OTE0ZDY3&rID=Njk1MQ==&qrs=RmFsc2U=&ph=VHJ1ZQ==&bckToL= VHJ1ZQ==&rrtc=VHJ1ZQ==. Tomasic, A., Giampapa, J., Gardiner, S., Deng, S., and Steinfeld, A. (2016). Tiramisu: Information from Live Data Streams. Available at: http://www.utc.ices.cmu.edu/utc/tier-one-reports/Tomasic1_TSETFinalReport.pdf. Vlk, T., and Hauger, G. (2015). Twitter vs. Timetable—Social Media as Mobility Information System in Transit. Available at: http://stratumtraffic.com/twitter-vs-timetable-social-media-as-mobility-information-system- in-public-transport/. Watkins, K., Xu, Y., Bregman, S., and Coffel, K. (2015). TCRP Report 179: Use of Web-Based Rider Feedback to Improve Public Transit Services. Transportation Research Board of the National Academies, Washington, D.C. Weisenford, J., Cronin, B., Ortiz, S., Majumdar, E., Thompson, C., Jenkins, J., Riches, C., Heasley, C., Wolf, B., Long, D., Bond, A., Lazaro, R., and Lazaro, V. (2018). TCRP Research Report 199: Transit Technical Training, Volume 1: Guide to Applying Best Practices and Sharing Resources. Transportation Research Board, Washington, D.C. Available at: http://www.trb.org/Main/Blurbs/177692.aspx. Yang, H., and Cherry, C. R. (2017). Use Characteristics and Demographics of Rural Transit Riders: A Case Study in Tennessee. Transportation Planning and Technology, Vol. 40, No. 2, pp. 213-227. Zhang, Y., Li, D., and Li, C. (2019). Public Transportation Analysis Based on Social Media Data. Available at: https://doi.org/10.1061/9780784482292.133. Zhang, Z., Ni, M., He, Q., and Gao, J. (2016). Mining Transportation Information from Social Media for Planned and Unplanned Events. Available at: https://rosap.ntl.bts.gov/view/dot/30838.

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A high percentage of transit agencies believe social media is important for increasing ridership, improving customer satisfaction, and improving agency image.

The TRB Transit Cooperative Research Program's TCRP Synthesis 156: Uses of Social Media in Public Transportation updates 2012's TCRP Synthesis 99: Uses of Social Media in Public Transportation and again explores the use of social media among transit agencies. It documents innovative and effective practices in the United States and Canada.

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