Analysis of urban mobility in South Florida using Uber Movement

Case Studies on Transport Policy - Tập 8 - Trang 1393-1400 - 2020
Shouraseni Sen Roy1, Jane Perlman1, Robert C. Balling2
1Department of Geography and Regional Studies, University of Miami, FL, USA
2School of Geographical Sciences and Urban Planning, Arizona State University, AZ, USA

Tài liệu tham khảo

Amey, 2011, Real-time ridesharing opportunities and challenges in using mobile phone technology to improve rideshare services, J. Transp. Res. Rec., 2217, 103, 10.3141/2217-13 Aryandoust, 2019, City-scale car traffic and parking density maps from Uber Movement travel time data, Scientific Data, 6, 1, 10.1038/s41597-019-0159-6 Chan, 2012, Ridesharing in North America: past, present, and future, Transp. Rev., 32, 93, 10.1080/01441647.2011.621557 City of New York, 2016. For-Hire Vehicle Transportation Study. Accessed on 3/26/2020: https://www1.nyc.gov/assets/operations/downloads/pdf/For-Hire-Vehicle-Transportation-Study.pdf. Fagnant, 2014, The travel and environmental implications of shared autonomous vehicles, using agent-based model scenarios, Transp. Res. Part C, 40, 1, 10.1016/j.trc.2013.12.001 Furuhata, 2013, Ridesharing: the state-of-the-art and future directions, Transp. Res. Part B, 57, 28, 10.1016/j.trb.2013.08.012 Henao, 2019, The impact of ride-hailing on vehicle miles traveled, Transportation, 46, 2173, 10.1007/s11116-018-9923-2 Jacobson, 2009, Fuel saving and ridesharing in the US: motivations, limitations, and opportunities, Transp. Res. Part D, 14, 14, 10.1016/j.trd.2008.10.001 Li, Z., Hong, Y., Zhang, Z., 2016. An empirical analysis of on-demand ride sharing and traffic congestion. Proc. International Conference on Information Systems (ICIS'16). Available at SSRN: https://ssrn.com/abstract=2843301. Maass, K., Sathanur, A.V., Khan, A., Rallo, R., 2020. Street-level travel-time estimation via aggregated uber data. arXiv preprint arXiv:2001.04533. Merril, J.B., Coote, A., 2015. Blame uber for congestion in Manhattan? Not so fast. New York Times. Accessed on 3/26/2020: http://www.nytimes.com/2015/07/28/upshot/blame-uber-for-congestion-in-manhattan-not-sofast.html. Minett, 2011, Estimating the energy consumption impact of casual carpooling, Energies, 4, 126, 10.3390/en4010126 Munzenrieder, K., 2015. Uber's Popularity Still Lags Behind Taxis' in Miami, at Least Among Business Travelers. Miami New Times. Accessed on 3/29/2020: https://www.miaminewtimes.com/news/ubers-popularity-still-lags-behind-taxis-in-miami-at-least-among-business-travelers-7564388. Sathanur, 2019, Graph analytics and optimization methods for insights from the uber movement data, 1 Schrank, D., 2019. Urban Mobility Report: 2019. The Texas A&M Transportation Institute. Scott, 2016, Spatial patterns of off the system traffic crashes in Miami-Dade County, FL during 2005–2010, Traffic Injury Prevent., 17, 729, 10.1080/15389588.2016.1144878 Sen Roy, 2007, Diurnal variations in summer season precipitation in India, Int. J. Climatol., 27, 969, 10.1002/joc.1458 Sen Roy, 2013, Spatial patterns of diurnal variations in summer-season lightning activity across the tropical and subtropical regions of the Northern Hemispheric Americas, Meteorol. Atmos. Phys., 121, 199, 10.1007/s00703-013-0259-3 Shaheen, 2007, Reducing greenhouse emissions and fuel consumption: sustainable approaches for surface transportation, IATSS Res., 31, 6, 10.1016/S0386-1112(14)60179-5 Uber Technologies, Inc., 2020. Data retrieved from Uber Movement, (c) 2020. https://movement.uber.com. Uber, 2020. Uber movement: travel times calculation methodology. Accessed on 9/14/2020: https://movement.uber.com/_static/76002ded222a46a02ae89f207e91e335.pdf. Wallman, B., 2015. Broward: to uber or not to uber? South Florida Sun Sentinel. Accessed on 3/29/2020: https://www.sun-sentinel.com/?#nt=mastheadnavbar. Yu, 2017, Environmental benefits from ridesharing: a case of Beijing, Appl. Energy, 191, 141, 10.1016/j.apenergy.2017.01.052