1,169
Views
15
CrossRef citations to date
0
Altmetric
Articles

Corporate ownership of automated vehicles: discussing potential negative externalities

ORCID Icon
Pages 95-113 | Received 18 Jun 2019, Accepted 28 Oct 2019, Published online: 10 Nov 2019

References

  • Anderson, J. (2004). Talking whilst walking: A geographical archaeology of knowledge. Area, 36(3), 254–261.
  • Bairner, A. (2011). Urban walking and the pedagogies of the street. Sport, Education and Society, 16(3), 371–384.
  • Bhat, C. R. (1998). Analysis of travel mode and departure time choice for urban shopping trips. Transportation Research Part B: Methodological, 32(6), 361–371.
  • Bradford, G. (2017). Problems for Perfectionism. Utilitas, 29(3), 344–364. Retrieved from Cambridge Core.
  • Brauneis, R., & Goodman, E. P. (2018). Algorithmic transparency for the smart city. Yale Journal of Law & Technology, 20, 103–176.
  • Brown, M. (2016). Jeffrey Tumlin: Future Cities Will Have Self-Driving Brothels. Retrieved from https://www.inverse.com/article/24308-jeffrey-tumlin-qa-future-cities-self-driving-cars
  • Cecco, L. (2019, June 6). “Surveillance capitalism”: Critic urges Toronto to abandon smart city project. The Guardian. Retrieved from https://www.theguardian.com/cities/2019/jun/06/toronto-smart-city-google-project-privacy-concerns
  • Centre for Humane Technology. (2018). Ledger of Harms. Retrieved from https://ledger.humanetech.com/
  • Cohen, T., & Cavoli, C. (2019). Automated vehicles: Exploring possible consequences of government (non)intervention for congestion and accessibility. Transport Reviews, 39(1), 129–151.
  • Cornet, A., Mohr, D., Weig, F., Zerlin, B., & Hein, A. P. (2012). Mobility of the future – opportunities for Automotive OEMs. Retrieved from McKinsey & Company. Website: http://www.mckinsey.com/~/media/mckinsey/dotcom/client_service/automotive%20and%20assembly/pdfs/mobility_of_the_future_brochure.ashx
  • Cyganski, R., Fraedrich, E., & Lenz, B. (2015). Travel-time valuation for automated driving: A use-case-driven study. Proceedings of the 94th Annual Meeting of the TRB. Paper presented at the 94th Annual Meeting of the Transportation Research Board, Washington, DC, USA, Retrieved from https://elib.dlr.de/95260/
  • Department for Digital, Culture, Media & Sport, & Home Department. (2019). Online harms white paper. Retrieved from https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/793360/Online_Harms_White_Paper.pdf
  • Dhir, A., Yossatorn, Y., Kaur, P., & Chen, S. (2018). Online social media fatigue and psychological wellbeing-A study of compulsive use, fear of missing out, fatigue, anxiety and depression. International Journal of Information Management, 40, 141–152.
  • Docherty, I., Marsden, G., & Anable, J. (2018). The governance of smart mobility. Transportation Research Part A, 115, 114–125.
  • Eckhardt, G. M., & Bardhi, F. (2015). The Sharing Economy Isn’t about sharing at all. Harvard Business Review. Retrieved from https://hbr.org/2015/01/the-sharing-economy-isnt-about-sharing-at-all
  • Edwards, L., & Veale, M. (2017). Slave to the algorithm? Why a ‘right to an explanation’ is probably not the remedy you are looking for. Duke Law & Technology Review, 16(1), 1–65.
  • Fagnant, D. J., & Kockelman, K. (2015). Preparing a nation for autonomous vehicles: Opportunities, barriers and policy recommendations. Transportation Research Part A: Policy and Practice, 77, 167–181.
  • Ferdman, A. (2018). Why the intrinsic goodness of public goods matters. Critical Review of International Social and Political Philosophy, 21(5), 661–676.
  • Fleetwood, J. (2017). Public health, ethics, and autonomous vehicles. American Journal of Public Health, 107(4), 532–537.
  • Goodman, B., & Flaxman, S. (2017). European Union regulations on algorithmic decision-making and a “right to explanation”. AI Magazine, 38(3), 50–57.
  • Gruel, W., & Stanford, J. M. (2016). Assessing the long-term effects of autonomous vehicles: A speculative approach. Transportation Research Procedia 13, 18–29.
  • Gucwa, M. (2014). Mobility and energy impacts of automated cars (PhD dissertation). Department of Management Science and Engineering. Stanford, CA: Stanford University.
  • Harper, C. D., Hendrickson, C. T., Mangones, S., & Samaras, C. (2016). Estimating potential increases in travel with autonomous vehicles for the non-driving, elderly and people with travel-restrictive medical conditions. Transportation Research Part C: Emerging Technologies, 72, 1–9.
  • Hawthorne-Castro, J. (2018, June 4). Autonomous vehicles will be a new opportunity for marketers. Retrieved from Forbes website: https://www.forbes.com/sites/forbesagencycouncil/2018/06/04/autonomous-vehicles-will-be-a-new-opportunity-for-marketers/
  • Hendricks, V. F., & Vestergaard, M. (2016). The attention economy. In V. F. Hendricks & M. Vestergaard (Eds.), Reality lost: Markets of attention, misinformation and manipulation (pp. 1–17). Cham: Springer.
  • Hensher, D. A. (2018). Tackling road congestion – what might it look like in the future under a collaborative and connected mobility model? Transport Policy, 66, A1–A8.
  • Hesmat, S. (2012). Obstacles to dieting behavior: Remarks from the national food policy conference. Journal of Food Law and Policy, 8(1), 199–202.
  • Jobin, A., Ienca, M., & Vayena, E. (2019). The global landscape of AI ethics guidelines. Nature Machine Intelligence. doi: 10.1038/s42256-019-0088-2
  • Kessous, E. (2015). The attention economy between market capturing and commitment in the polity. Œconomia, 5(1), 77–101.
  • Kloostra, B., & Roorda, M. J. (2019). Fully autonomous vehicles: Analyzing transportation network performance and operating scenarios in the Greater Toronto Area, Canada. Transportation Planning and Technology, 42(2), 99–112.
  • Koch, T., & Denike, K. (2001). Equality vs. Efficiency: The Geography of Solid Organ Distribution in the USA. Ethics, Place & Environment, 4, 45–56.
  • Krizek, K. J. (2019). Measuring the wind through your hair? Unravelling the positive utility of bicycle travel. Research in Transportation Business & Management, 71–76.
  • Loewenstein, G., & Schkade, D. (1999). Wouldn’t it be nice? Predicting future feelings. In D. Kahneman, E. Diener, & N. Schwarz (Eds.), Well-being: The foundations of hedonic psychology (pp. 85–105). New York, NY: Russell Sage Foundation.
  • Lyons, G. (2018). Getting smart about urban mobility – aligning the paradigms of smart and sustainable. Smart Urban Mobility, 115, 4–14.
  • Maniscalco, A. (2015). Public spaces, marketplaces, and the constitution: Shopping malls and the first amendment. Albany, NY: SUNY Press.
  • Matz, S. C., Kosinski, M., Nave, G., & Stillwell, D. J. (2017). Psychological targeting as an effective approach to digital mass persuasion. Proceedings of the National Academy of Sciences, 114(48), 12714–12719.
  • Medina-Tapia, M., & Robusté, F. (2019). Implementation of connected and autonomous vehicles in cities could have neutral effects on the total travel time costs: Modeling and analysis for a circular city. Sustainability, 11(2), 1–18.
  • Middleton, J. (2010). Sense and the city: Exploring the embodied geographies of urban walking. Social & Cultural Geography, 11(6), 575–596.
  • Milakis, D., Kroesen, M., & van Wee, B. (2018). Implications of automated vehicles for accessibility and location choices: Evidence from an expert-based experiment. Journal of Transport Geography, 68, 142–148.
  • Milakis, D., van Arem, B., & van Wee, B. (2017). Policy and society related implications of automated driving: A review of literature and directions for future research. Journal of Intelligent Transportation Systems, 21(4), 324–348.
  • Mokhtarian, P. L. (2019). Subjective well-being and travel: Retrospect and prospect. Transportation, 46(2), 493–513.
  • Mokhtarian, P. L., & Salomon, I. (2001). How derived is the demand for travel? Some conceptual and measurement considerations. Transportation Research Part A: Policy and Practice, 35(8), 695–719.
  • O’Reilly, M., Dogra, N., Whiteman, N., Hughes, J., Eruyar, S., & Reilly, P. (2018). Is social media bad for mental health and wellbeing? Exploring the perspectives of adolescents. Clinical Child Psychology and Psychiatry, 23(4), 601–613.
  • Pakusch, C., Stevens, G., Boden, A., & Bossauer, P. (2018). Unintended effects of autonomous driving: A study on mobility Preferences in the future. Sustainability, 10(7), 1–22.
  • Pudāne, B., Rataj, M., Molin, E. J. E., Mouter, N., van Cranenburgh, S., & Chorus, C. G. (2019). How will automated vehicles shape users’ daily activities? Insights from focus groups with commuters in the Netherlands. The Roles of Users in Low-Carbon Transport Innovations: Electrified, Automated, and Shared Mobility, 71, 222–235.
  • Reed, E. S. (1996). The necessity of experience. New Haven, CT: Yale University Press.
  • Sager, T. (2006). Freedom as mobility: Implications of the distinction between actual and potential travelling. Mobilities, 1(3), 465–488.
  • Select Committee on Artificial Intelligence. (2018). AI in the UK: Ready, willing and able? (No. Report of Session 2017–19). Retrieved from House of Lords website: https://publications.parliament.uk/pa/ld201719/ldselect/ldai/100/100.pdf
  • Singleton, P. A. (2019a). Discussing the “positive utilities” of autonomous vehicles: Will travellers really use their time productively? Transport Reviews, 39(1), 50–65.
  • Singleton, P. A. (2019b). Multimodal travel-based multitasking during the commute: Who does what? International Journal of Sustainable Transportation, 1–13.
  • Soteropoulos, A., Berger, M., & Ciari, F. (2019). Impacts of automated vehicles on travel behaviour and land use: An international review of modelling studies. Transport Reviews, 39(1), 29–49.
  • Taeihagh, A., & Lim, H. S. M. (2019). Governing autonomous vehicles: Emerging responses for safety, liability, privacy, cybersecurity, and industry risks. Transport Reviews, 39(1), 103–128.
  • Thomopoulos, N., & Givoni, M. (2015). The autonomous car—A blessing or a curse for the future of low carbon mobility? An exploration of likely vs. Desirable outcomes. European Journal of Futures Research, 3(1), 1–14.
  • van den Berg, V. A. C., & Verhoef, E. T. (2016). Autonomous cars and dynamic bottleneck congestion: The effects on capacity, value of time and preference heterogeneity. Transportation Research Part B: Methodological, 94, 43–60.
  • Ward, A. F., Duke, K., Gneezy, A., & Bos, M. W. (2017). Brain drain: The mere presence of one’s own smartphone reduces available cognitive capacity. Journal of the Association for Consumer Research, 2(2), 140–154.
  • Weller, C. (2018). Silicon Valley parents are raising their kids tech-free—and it should be a red flag. Business Insider. Retrieved from https://www.businessinsider.de/silicon-valley-parents-raising-their-kids-tech-free-red-flag-2018-2
  • Whittaker, M., Crawford, K., Dobbe, R., Fried, G., Kaziunas, E., Mathur, V., … Schwartz, O. (2018). AI now report 2018. Retrieved from AI Now website: https://ainowinstitute.org/AI_Now_2018_Report.pdf
  • Wu, T. (2017). The attention merchants: The epic scramble to get inside our heads. New York, NY: Vintage.
  • Wunderlich, F. M. (2008). Walking and rhythmicity: Sensing urban space. Journal of Urban Design, 13(1), 125–139.
  • Yeh, R. (2012). Two Publics in a Mexican border city. Cultural Anthropology, 27(4), 713–734.

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.