References

  • L. Alessandretti, P. Sapiezynski, S. Lehmann, and A. Baronchelli, “Multi-Scale Spatiotemporal Analysis of Human Mobility,” PLOS ONE 12: 2 (2017) e0171686. doi: 10.1371/journal.pone.0171686
  • B. Barann, D. Beverungen, and O. Müller, “An Open-Data Approach for Quantifying the Potential of Taxi Ridesharing,” Decision Support Systems 99 (2017) 86–95. doi: 10.1016/j.dss.2017.05.008
  • A. Bazzani, G. Bruno, R. Sandro, G. Riccardo, and G. Luca Giovannini, “Statistical Laws in Urban Mobility from Microscopic GPS Data in the Area of Florence,” Journal of Statistical Mechanics: Theory and Experiment 5 (2010) P05001. doi: 10.1088/1742-5468/2010/05/P05001
  • L. Bengtsson, J. Gaudart, X. Lu, S. Moore, E. Wetter, K. Sallah, S. Rebaudet, and R. Piarroux, “Using Mobile Phone Data to Predict the Spatial Spread of Cholera, “ Scientific Reports 5 (2015) 8923. doi: 10.1038/srep08923
  • D. Brockmann, L. Hufnagel, and T. Geisel, “The Scaling Laws of Human Travel,” Nature 439: 7075 (2006) 462–465. doi: 10.1038/nature04292
  • H. Cai, “Big Data For Urban Sustainability: Integrating Personal Mobility Dynamics in Environmental Assessments” ( PhD diss., University of Michigan, 2015).
  • H. Cai, X. Zhan, J. Zhu, X. Jia, A. S. F. Chiu, and M. Xu, “Understanding Taxi Travel Patterns,” Physica A: Statistical Mechanics and its Applications 457 (2016) 590–597. doi: 10.1016/j.physa.2016.03.047
  • J. Cramer and A. B. Krueger, “Disruptive Change in the Taxi Business: The Case of Uber,” American Economic Review 106: 5 (2016) 177–182. doi: 10.1257/aer.p20161002
  • Y. Dong, S. Wang, L. Li, and Z. Zhang, “An Empirical Study on Travel Patterns of Internet-Based Ride-Sharing,” Transportation Research Part C: Emerging Technologies 86: (2018) 1–22. doi: 10.1016/j.trc.2017.10.022
  • F. Duarte and C. Ratti, “The Impact of Autonomous Vehicles on Cities: A Review,” Journal of Urban Technology 25: 4 (2018) 3–18. doi: 10.1080/10630732.2018.1493883
  • G. D. Erhardt, S. Roy, D. Cooper, B. Sana, M. Chen, and J. Castiglione, “Do Transportation Network Companies Decrease Or Increase Congestion?” Science Advances 5: 5 (2019) eaau2670. doi: 10.1126/sciadv.aau2670
  • M. D. Gennaro, E. Paffumi, H. Scholz, and G. Martini, “Analysis and Assessment of The Electrification of Urban Road Transport Based on Real-Life Mobility Data,” World Electric Vehicle Journal 6: 1 (2013) 100–111. doi: 10.3390/wevj6010100
  • M.C. Gonzalez, C. A. Hidalgo, and A. L. Barabasi, “Understanding Individual Human Mobility Patterns,” Nature 453: 7196 (2008) 779–782. doi: 10.1038/nature06958
  • X. He, Y. Wu, S. Zhang, M. A. Tamor, T. J. Wallington, W. Shen, W. Han, L. Fu, and J. Hao, “Individual Trip Chain Distributions for Passenger Cars: Implications for Market Acceptance of Battery Electric Vehicles and Energy Consumption By Plug-in Hybrid Electric Vehicles,” Applied Energy 180 (2016) 650–660. doi: 10.1016/j.apenergy.2016.08.021
  • A. Henao, “Impacts of Ridesourcing-Lyft and Uber- on Transportation including VMT, Model Replacement, Parking, and Travel Behavior” ( PhD diss., University of Colorado, 2016).
  • IEA (2018). World Energy Outlook 2018, IEA (Paris, 2018), https://doi.org/10.1787/weo-2018-en. Accessed March 14, 2020.
  • B. Jiang, J. J. Yin, and S. Zhao, “Characterizing Human Mobility Patterns in a Large Street Network,” Physical Review E 80.021136. doi:10.1103/PhysRevE.80.021136 (2009).
  • S. T. Jin, H. Kong, and D. Z. Sui, “Uber, Public Transit, and Urban Transportation Equity: A Case Study in New York City,” The Professional Geographer 71: 2 (2019) 315–330. doi: 10.1080/00330124.2018.1531038
  • S.T. Jin, H. Kong, R. Wu, and D. Z. Sui, “Ridesourcing, the Sharing Economy, and the Future of Cities,” Cities 76 (2018) 96–104. doi: 10.1016/j.cities.2018.01.012
  • J. C. Kelly, J. S. MacDonald, and G. A. Keoleian, “Time-Dependent Plug-in Hybrid Electric Vehicle Charging based on National Driving Patterns and Demographics,” Applied Energy 94 (2012) 395–405. doi: 10.1016/j.apenergy.2012.02.001
  • X. Liang, X. Zheng, W. Lv, T. Zhu, and K. Xu, “The Scaling of Human Mobility by Taxis is Exponential,” Physica A: Statistical Mechanics and its Applications 391: 5 (2012) 2135–2144. doi: 10.1016/j.physa.2011.11.035
  • F. Liao, E. Molin, H. Timmermans, and V.B. Wee, “Carsharing: the Impact of System Characteristics on Its Potential to Replace Private Car Trips and Reduce Car Ownership,” Transportation (2018) 1–36, https://doi.org//10.1007/s11116-018-9929-9.
  • F. Liao, E. Molin, and V. B. Wee, “Consumer Preferences for Electric Vehicles: A Literature Review,” Transport Reviews 37: 3 (2017) 252–275, doi: 10.1080/01441647.2016.1230794
  • M. McArdle, “Uber Serves The Poor by Going Where Taxis Don’t,” Bloomberg (20 July 2015), https://www.bloomberg.com/opinion/articles/2015-07-20/uber-serves-the-poor-by-going-where-taxis-don-t. Accessed March 20, 2018.
  • Z. Z. Needell, J. Mcnerney, M. T. Chang, and J. E. Trancik, “Potential for Widespread Electrification of Personal Vehicle Travel in the United States,” Nature Energy 1 (2016) 16112. doi: 10.1038/nenergy.2016.112
  • Y. Nie, “How Can The Taxi Industry Survive the Tide of Ridesourcing? Evidence from Shenzhen, China,” Transportation Research Part C: Emerging Technology 79 (2017) 242–256. doi: 10.1016/j.trc.2017.03.017
  • C. Peng, X. Jin, K. Wong, M. Shi, and L. Pietro. “Collective Human Mobility Pattern from Taxi Trips in Urban Area,” PLoS ONE 7: 4 (2012) e34487. doi: 10.1371/journal.pone.0034487
  • P. Plötz, N. Jakobsson, and F. Sprei, “On the Distribution of Individual Daily Driving Distances,” Transportation Research Part B: Methodological 101 (2017) 213–227. doi: 10.1016/j.trb.2017.04.008
  • L. Rayle, D. Dai, N. Chan, R. Cervero and S. Shaheen, “Just a Better Taxi? A Survey-based Comparison of Taxis, Transit, and Ridesourcing Services in San Francisco,” Transport Policy 45: (2016) 168–178. doi: 10.1016/j.tranpol.2015.10.004
  • Y. Ren, M. Ercsey-Ravasz, P. Wang, M. C. González, and Z. Toroczkai, “Predicting Commuter Flows in Spatial Networks Using a Radiation Model Based on Temporal Ranges,” Nature Communications 5 (2014) 5347. doi: 10.1038/ncomms6347
  • N. Ronald, Z. Navidi, Y. Wang, M. Rigby, S. Jain, R. Kutadinata, R. Thompson and S. Winter, “Mobility Patterns in Shared, Autonomous, and Connected Urban Transport,” Disrupting Mobility. Springer (Cham, 2017. 275–290).
  • P. Santi, G. Resta, M. Szell., S. Sobolevsky, S. H Strogatz, and C. Ratti, “Quantifying the Benefits of Vehicle Pooling with Shareability Networks,” Proceedings of the National Academy of Sciences 111 (2014) 13290-4. doi: 10.1073/pnas.1403657111
  • S. Shaheen and A. Cohen, “Shared Ride Services in North America: Definitions, Impacts, and The Future of Pooling,” Transport Reviews 39: 4 (2019) 427–442. doi: 10.1080/01441647.2018.1497728
  • D. S. Silva, L. A. M. O. de Andrade, and M. L. Alves Maia, “How Does The Ride-Hailing Systems Demand Affect Individual Transport Regulation?,” Research in Transportation Economics 69 (2018) 600–606. doi: 10.1016/j.retrec.2018.06.010
  • C. Song, T. Koren, P. Wang, and A. Barabási, “Modelling the Scaling Properties of Human Mobility,” Nature Physics 6: 10 (2010) 818–823. doi: 10.1038/nphys1760
  • D. Sperling. Three Revolutions, Steering Automated, Shared, and Electric Vehicles to a Better Future (Washington: Island Press, 2018).
  • R. Su, Z. Fang, N. Luo, and J. Zhu, “Understanding the Dynamics of the Pick-Up and Drop-Off Locations of Taxicabs in the Context of a Subsidy War among E-Hailing Apps,” Sustainability 10 (2018) 1256. doi: 10.3390/su10041256
  • M. Tamor, C. Gearhart, and C. Soto, “A Statistical Approach to Estimating Acceptance of Electric Vehicles and Electrification of Personal Transportation,” Transportation Research Part C: Emerging Technologies 26 (2013) 125–134. doi: 10.1016/j.trc.2012.07.007
  • W. Tu, R. Cao, Y. Yue, B. D. Zhou, Q. P. Li, and Q. Q. Li, “Spatial Variations in Urban Public Ridership Derived from GPS Trajectories and Smart Card Data,Journal of Transport Geography 69 (2018) 45–57. doi: 10.1016/j.jtrangeo.2018.04.013
  • W. Tu, Q. Li, Z. Fang, S. L Shaw, B. Zhou, and X. Chang, “Optimizing the Locations of Electric Taxi Charging Stations: A Spatial-Temporal Demand Coverage Approach,” Transportation Research Part C: Emerging Technologies 65 (2016) 172–189. doi: 10.1016/j.trc.2015.10.004
  • W. Tu, P. Santi, T. Zhao, X. He, Q. Li, L. Dong, T. J. Wallington, and C. Ratti, “Acceptability, Energy Consumption, and Costs of Electric Vehicle for Ride-Hailing Drivers in Beijing,” Applied Energy 250 (2019) 147–160. doi: 10.1016/j.apenergy.2019.04.157
  • M. Vazifeh, P. Santi, G. Resta, S. H. Strogatz, and C. Ratti, “Addressing the Minimum Fleet Problem in On-Demand Urban Mobility,” Nature 557: 7706 (2018) 534–538. doi: 10.1038/s41586-018-0095-1
  • Y. Wang, B. Zheng, and E.-P. Lim, “Understanding the Effects of Taxi Ride-Sharing: A Case Study of Singapore,” Computers, Environment and Urban Systems 69 (2018) 124–132. doi: 10.1016/j.compenvurbsys.2018.01.006
  • X. Yan, X.-P. Han, B.-H. Wang, and T. Zhou, “Diversity of Individual Mobility Patterns and Emergence of Aggregated Scaling Laws,” Scientific Reports 3 (2013) 2678. doi: 10.1038/srep02678
  • W. Yang, R. C. P. Wong, and W. Y. Szeto, “Modeling the Acceptance of Taxi Owners and Drivers to Operate Premium Electric Taxis: Policy Insights into Improving Taxi Service Quality and Reducing Air Pollution,” Transportation Research Part A: Policy and Practice 118 (2018) 581–593.
  • B. Yu, Y. Ma, M. Xue, B. Tang, B. Wang, J. Yan, and Y.-M. Wei, “Environmental Benefits from Ridesharing: A Case of Beijing,” Applied Energy 191 (2017) 141–152. doi: 10.1016/j.apenergy.2017.01.052
  • X. Zhang, Y. Xu, W. Tu, and C. Ratti, “Do Different Datasets Tell the Same Story about Urban Mobility: A Comparative Study of Public Transit and Taxi Usage,” Journal of Transport Geography 70 (2018) 78–90. doi: 10.1016/j.jtrangeo.2018.05.002
  • Y. Zhang, Y. F. Yu, and B. Zou, “Analyzing Public Awareness and Acceptance of Alternative Fuel Vehicles in China: The Case of EV,” Energy Policy 39: 11 (2011) 7015–7024. doi: 10.1016/j.enpol.2011.07.055
  • P. Zhao, M.-P. Kwan, and K. Qin, “Uncovering the Spatiotemporal Patterns of CO2 Emissions By Taxis Based on Individuals’ Daily Travel,” Journal of Transport Geography 62 (2017) 122–135. doi: 10.1016/j.jtrangeo.2017.05.001
  • K. Zhao, M. Musolesi, P. Hui, W. Rao, and S. Tarkoma, “Explaining the Power-Law Distribution of Human Mobility through Transportation Modality Decomposition,” Scientific Reports 5 (2015) 9136. doi: 10.1038/srep09136

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.