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ARTICLES

To Share or Not? A Critical View on Personal Mobility

Pages 399-417 | Published online: 04 Nov 2019
 

Abstract

In their book Reinventing the Automobile, William Mitchell, Chris Borroni-Bird, and Larry Burns unravel a fascinating vision for technologically driven, shared, on-demand, mobility systems. Today, shared mobility-on-demand systems are one of the most rapidly growing sectors of urban transport, yet, the average shared vehicle is often as inefficient as a privately owned one. In this essay, I argue that the question of sharing versus owning is one that depends less on planning, technology, and operations, as the authors of the book suggest, and more on contextual factors such as urban form, land use distribution, and user behaviour. I organize my argument in three parts. First, I provide a definition of cost of shared mobility that serves as a basis for comparing shared with privately owned mobility. Next, I critique three common arguments in support of mobility-on-demand systems. Finally, I frame the question of sharing versus owning in a generalized yet addressable manner and I suggest new methodological directions to address it.

Notes

Notes

1 W. J. Mitchell, C. E. Borroni-Bird, and L. D. Burns, Reinventing the Automobile: Personal Urban Mobility for the 21st Century, new ed. (Cambridge, MA: The MIT Press, 2010).

2 T. Bendixson and M. Richards, “Witkar: Amsterdam’s Self-Drive Hire City Car,” Transportation 5, no. 1 (1976).

3 S. Shaheen and A. Cohen, Innovative Mobility Carsharing Outlook (Berkeley, CA: Transportation Sustainability Research Center, University of California, 2016).

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5 Dimitris Papanikolaou, “The Potential of On-Demand Urban Mobility: Lessons from System Analysis and Data Visualization” (doctoral diss., Harvard University, 2016).

6 B. Nelson and D. Nygaard, Boston Taxi Consultant Report (Boston, MA: Nelson Nygaard in association with Taxi Research Partners, October 11, 2013). Available online: http://nelsonnygaard.com/publication/boston-taxi-consultant-report/.

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9 Papanikolaou, “Potential of On-Demand Urban Mobility”; D. J. Fagnant, K. M. Kockelman, and P. Bansal, “Operations of Shared Autonomous Vehicle Fleet for Austin, Texas, Market,” Transportation Research Record: Journal of the Transportation Research Board 2536, no. 2536 (2015); D. J. Fagnant and K. M. Kockelman, “The Travel and Environmental Implications of Shared Autonomous Vehicles, Using Agent-Based Model Scenarios,” Transportation Research Part C 40 (2014); and T. D. Chen, K. M. Kockelman, and J. P. Hanna, “Operations of a Shared, Autonomous, Electric Vehicle Fleet: Implications of Vehicle & Charging Infrastructure Decisions,” Transportation Research Part A 94 (2016).

10 K. Pangbourne et al., “Questioning Mobility as a Service: Unanticipated Implications for Society and Governance,” Transportation Research Part A: Policy and Practice (2019). Available online: http://eprints.whiterose.ac.uk/141636/.

11 D. Milakis, “Long-Term Implications of Automated Vehicles: An Introduction,” Transport Reviews 39, no. 1 (2019).

12 Spieser et al., “Toward a Systematic Approach”; and Fagnant and Kockelman, “Travel and Environmental Implications.”

13 J.-P. Rodrigue, The Geography of Transport Systems (Abingdon: Routledge, 2006).

14 Mitchell, Borroni-Bird, and Burns, Reinventing the Automobile, 140.

15 Ibid., 140.

16 Ibid., 144.

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18 C. Kang et al., “Intra-Urban Human Mobility Patterns: An Urban Morphology Perspective,” Physica A: Statistical Mechanics and its Applications 391, no. 4 (2012); R. W. Scholz and Y. Lu, “Detection of Dynamic Activity Patterns at a Collective Level from Large-Volume Trajectory Data,” International Journal of Geographical Information Science 28, no. 5 (2014); J. B. Sun et al., “Exploring Space–Time Structure of Human Mobility in Urban Space,” Physica A: Statistical Mechanics and its Applications 390, no. 5 (2011); and C. M. Schneider et al., “Unravelling Daily Human Mobility Motifs,” Journal of the Royal Society, Interface 10, no. 84 (2013): 20130246.

19 K. S. Kung et al., “Exploring Universal Patterns in Human Home–Work Commuting from Mobile Phone Data,” PLoS One 9, no. 6 (2014): e96180; and F. Calabrese et al., “Understanding Individual Mobility Patterns from Urban Sensing Data: A Mobile Phone Trace Example,” Transportation Research Part C 26 (2013).

20 Kung et al., “Exploring Universal Patterns.”

21 M. Padgham, “Human Movement is Both Diffusive and Directed,” PLoS One 7, no. 5 (2012): e37754.

22 Kang et al., “Intra-Urban Human Mobility Patterns,” 391 and 1702–1717.

23 Padgham, “Human Movement”; A. Kaltenbrunner et al., “Urban Cycles and Mobility Patterns: Exploring and Predicting Trends in a Bicycle-Based Public Transport System,” Pervasive and Mobile Computing 6, no. 4 (2010); M. Dell’Amico et al., “The Bike Sharing Rebalancing Problem: Mathematical Formulations and Benchmark Instances,” Omega 45 (2014): 7; T. von Landesberger et al., “MobilityGraphs: Visual Analysis of Mass Mobility Dynamics via Spatio-Temporal Graphs and Clustering,” IEEE Transactions on Visualization and Computer Graphics 22, no. 1 (2016); N. Lathia, S. Ahmed, and L. Capra, “Measuring the Impact of Opening the London Shared Bicycle Scheme to Casual Users,” Transportation Research Part C 22 (2012); R. Beecham, J. Wood, and A. Bowerman, “Studying Commuting Behaviours Using Collaborative Visual Analytics,” Computers, Environment and Urban Systems 47 (2014); P. Borgnat et al., “Shared Bicycles in A City: A Signal Processing and Data Analysis Perspective,” Advances in Complex Systems 14, no. 03 (2011); and D. Papanikolaou, “Data-Driven State Space Reconstruction of Mobility on Demand Systems for Sizing-Rebalancing Analysis” (proceedings of the 2018 Symposium on Simulation for Architecture and Urban Design (SimAUD 2018), Technical University of Delft, the Netherlands, June 4–7, 2018).

24 Fagnant, Kockelman, and Bansal, “Operations of Shared Autonomous Vehicle Fleet.”

25 Papanikolaou, “Data-Driven State Space Reconstruction.”

26 A. Cohen et al., The Bike-Share Planning Guide (New York, NY: Institute for Transportation & Development Policy [ITDP], 2013).

27 Garrett Hardin, “The Tragedy of the Commons,” Science (New York, N.Y.) 162, no. 3859 (1968): 1243–1248.

28 Mitchell, Borroni-Bird, and Burns, Reinventing the Automobile, 140.

29 W. J. Mitchell, Mobility on Demand: Future of Transportation in Cities (Cambridge, MA: Massachusetts Institute of Technology, 2008), 18.

30 Papanikolaou, “Data-Driven State Space Reconstruction.”

31 D. Papanikolaou, “Computing and Visualizing Taxi Cab Dynamics as Proxies for Autonomous Mobility on Demand Systems. The Case of the Chicago Taxi Cab System” (paper presented at in CAAD Futures 2019, Hello Culture, KAIST, Daejeon, Korea, June 26–28, 2019).

32 Michael G. McNally, The Four Step Model (Irvine, CA: Institute of Transportation Studies, University of California, Irvine, 2007); R. B. Mitchell and C. Rapkin, Urban Traffic: A Function of Land Use, 1st ed. and 1st printing ed. (New York, NY: Columbia University Press, 1954); and M. L. Manheim, Fundamentals of Transportation Systems Analysis: Basic Concepts (Cambridge, MA: The MIT Press, 1979).

33 Mike McNally, The Activity-Based Approach (Irvine, CA: Institute of Transportation Studies, University of California, Irvine, December 2000); and P. M. Jones, New Approaches to Understanding Travel Behavior: The Human Activity Approach (Oxford, UK: Oxford University, 1977). Available online: https://books.google.com/books?id=GbM5cgAACAAJ.

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Additional information

Notes on contributors

Dimitris Papanikolaou

Dimitris Papanikolaou, DDes, is an Assistant Professor at the University of North Carolina at Charlotte (UNCC), jointly between the School of Architecture and the Department of Software and Information Systems, and he is the director of the Urban Synergetics Lab at UNCC. His research investigates the relationship between urban space, information technology and social behavior, from a system dynamics perspective. Dr Papanikolaou holds a Doctor of Design (DDes) from Harvard University, Graduate School of Design, an MSc in Media Arts and Sciences from the MIT Media Lab, a SMArchS in Design Computation from MIT, School of Architecture and Planning, and a Diploma in Architectural Engineering from the National Technical University of Athens in Greece.

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