Journal Home > Volume 5 , Issue 3
Purpose

Recent studies on commuter parking in an age of fully autonomous vehicles (FAVs) suggest, that the number of parking spaces close to the workplace demanded by commuters will decline because of the capability of FAVs to return home, to seek out (free) parking elsewhere or just cruise. This would be good news because, as of today, parking is one of the largest consumers of urban land and is associated with substantial costs to society. None of the studies, however, is concerned with the special case of employer-provided parking, although workplace parking is a widespread phenomenon and, in many instances, the dominant form of commuter parking. The purpose of this paper is to analyze whether commuter parking will decline with the advent of self-driving cars when parking is provided by the employer.

Design/methodology/approach

This study looks at commuter parking from the perspective of both the employer and the employee because in the case of employer-provided parking, the firm’s decision to offer a parking space and the incentive of employees to accept that offer are closely interrelated because of the fringe benefit character of workplace parking. This study develops an economic equilibrium model that explicitly maps the employer–employee relationship, considering the treatment of parking provision and parking policy in the income tax code and accounting for adverse effects from commuting, parking and public transit. This study determines the market level of employer-provided parking in the absence and presence of FAVs and identifies the factors that drive the difference. This study then approximates the magnitude of each factor, relying on recent (first) empirical evidence on the impacts of FAVs.

Findings

This paper’s analysis suggests that as long as distortive (tax) policy favors employer-provided parking, FAVs are no guarantee to end up with less commuter parking.

Originality/value

This study’s findings imply that in a world of self-driving cars, policy intervention related to work commuting (e.g. fringe benefit taxation or transport pricing) might be even more warranted than today.


menu
Abstract
Full text
Outline
About this article

Less workplace parking with fully autonomous vehicles?

Show Author's information Stefan Tscharaktschiew( )Felix Reimann
Institute of Transport and Economics, Technische Universität Dresden, Dresden, Germany

Abstract

Purpose

Recent studies on commuter parking in an age of fully autonomous vehicles (FAVs) suggest, that the number of parking spaces close to the workplace demanded by commuters will decline because of the capability of FAVs to return home, to seek out (free) parking elsewhere or just cruise. This would be good news because, as of today, parking is one of the largest consumers of urban land and is associated with substantial costs to society. None of the studies, however, is concerned with the special case of employer-provided parking, although workplace parking is a widespread phenomenon and, in many instances, the dominant form of commuter parking. The purpose of this paper is to analyze whether commuter parking will decline with the advent of self-driving cars when parking is provided by the employer.

Design/methodology/approach

This study looks at commuter parking from the perspective of both the employer and the employee because in the case of employer-provided parking, the firm’s decision to offer a parking space and the incentive of employees to accept that offer are closely interrelated because of the fringe benefit character of workplace parking. This study develops an economic equilibrium model that explicitly maps the employer–employee relationship, considering the treatment of parking provision and parking policy in the income tax code and accounting for adverse effects from commuting, parking and public transit. This study determines the market level of employer-provided parking in the absence and presence of FAVs and identifies the factors that drive the difference. This study then approximates the magnitude of each factor, relying on recent (first) empirical evidence on the impacts of FAVs.

Findings

This paper’s analysis suggests that as long as distortive (tax) policy favors employer-provided parking, FAVs are no guarantee to end up with less commuter parking.

Originality/value

This study’s findings imply that in a world of self-driving cars, policy intervention related to work commuting (e.g. fringe benefit taxation or transport pricing) might be even more warranted than today.

Keywords: Autonomous vehicles, Employer-provided parking, Fringe benefit, Self-driving cars, Transport policy

References(115)

Arnott, R., De Palma, A. and Lindsey, R. (1991), “A temporal and spatial equilibrium analysis of commuter parking”, Journal of Public Economics, Vol. 45 No. 3, pp. 301-335.

Bahrami, S. and Roorda, M.J. (2020), “Autonomous vehicle relocation problem in a parking facility”, Transportmetrica A: Transport Science, Vol. 16 No. 3, pp. 1604-1627.

Bahrami, S., Vignon, D., Yin, Y. and Laberteaux, K. (2021), “Parking management of automated vehicles in downtown areas”, Transportation Research Part C: Emerging Technologies, Vol. 126, p. 103001.

Bansal, P. and Kockelman, K.M. (2017), “Forecasting Americans’ long-term adoption of connected and autonomous vehicle technologies”, Transportation Research Part A: Policy and Practice, Vol. 95, pp. 49-63.

Bansal, P. and Kockelman, K.M. (2018), “Are we ready to embrace connected and self-driving vehicles? A case study of Texans”, Transportation, Vol. 45 No. 2, pp. 641-675.

Bansal, P., Kockelman, K.M. and Singh, A. (2016), “Assessing public opinions of and interest in new vehicle technologies: an Austin perspective”, Transportation Research Part C: Emerging Technologies, Vol. 67, pp. 1-14.

Bösch, P.M., Becker, F., Becker, H. and Axhausen, K.W. (2018), “Cost-based analysis of autonomous mobility services”, Transport Policy, Vol. 64, pp. 76-91.

Brueckner, J.K. and Franco, S.F. (2018), “Employer-paid parking, mode choice, and suburbanization”, Journal of Urban Economics, Vol. 104, pp. 35-46.

Chester, M., Horvath, A. and Madanat, S. (2010), “Parking infrastructure: energy, emissions, and automobile life-cycle environmental accounting”, Environmental Research Letters, Vol. 5 No. 3, p. 034001.

Cutter, W.B. and Franco, S.F. (2012), “Do parking requirements significantly increase the area dedicated to parking? A test of the effect of parking requirements values in Los Angeles county”, Transportation Research Part A: Policy and Practice, Vol. 46 No. 6, pp. 901-925.

Dalla Chiara, G. and Goodchild, A. (2020), “Do commercial vehicles cruise for parking? Empirical evidence from Seattle”, Transport Policy, Vol. 97, pp. 26-36.

Daziano, R.A., Sarrias, M. and Leard, B. (2017), “Are consumers willing to pay to let cars drive for them? Analyzing response to autonomous vehicles”, Transportation Research Part C: Emerging Technologies, Vol. 78, pp. 150-164.

De Borger, B. and Wuyts, B. (2009), “Commuting, transport tax reform and the labour market: employer-paid parking and the relative efficiency of revenue recycling instruments”, Urban Studies, Vol. 46 No. 1, pp. 213-233.

De Borger, B. and Wuyts, B. (2011), “The tax treatment of company cars, commuting and optimal congestion taxes”, Transportation Research Part B: Methodological, Vol. 45 No. 10, pp. 1527-1544.

De Palma, A., Lindsey, R. and Monchambert, G. (2017), “The economics of crowding in rail transit”, Journal of Urban Economics, Vol. 101, pp. 106-122.

Duarte, F. and Ratti, C. (2018), “The impact of autonomous vehicles on cities: a review”, Journal of Urban Technology, Vol. 25 No. 4, pp. 3-18.

Eliasson, J. (2021), “Efficient transport pricing – why, what, and when?”, Communications in Transportation Research, Vol. 1, p. 100006.

Ellis, B., Douglas, N. and Frost, T. (2016), “Willingness to pay for driverless cars”, Australasian Transport Research Forum 2016 Proceedings.

Elvik, R. (2020), “The demand for automated vehicles: a synthesis of willingness-to-pay surveys”, Economics of Transportation, Vol. 23, p. 100179.

Evangelinos, C., Tscharaktschiew, S., Marcucci, E. and Gatta, V. (2018), “Pricing workplace parking via cash-out: effects on modal choice and implications for transport policy”, Transportation Research Part A: Policy and Practice, Vol. 113, pp. 369-380.

Fagnant, D.J. and Kockelman, K. (2015), “Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations”, Transportation Research Part A: Policy and Practice, Vol. 77, pp. 167-181.

Fernald, J.G. (1999), “Roads to prosperity? Assessing the link between public capital and productivity”, American Economic Review, Vol. 89 No. 3, pp. 619-638.

Fetene, G.M., Hirte, G., Kaplan, S., Prato, C.G. and Tscharaktschiew, S. (2016), “The economics of workplace charging”, Transportation Research Part B: Methodological, Vol. 88, pp. 93-118.

Gimenez-Nadal, J.I. and Molina, J.A. (2019), “Daily feelings of US workers and commuting time”, Journal of Transport & Health, Vol. 12, pp. 21-33.

Gkartzonikas, C. and Gkritza, K. (2019), “What have we learned? A review of stated preference and choice studies on autonomous vehicles”, Transportation Research Part C: Emerging Technologies, Vol. 98, pp. 323-337.

Goerke, L. and Lorenz, O. (2017), “Commuting and sickness absence”, Working Paper.
DOI

Greenberg, A., Choe, J., Sethi, S. and Stoll, C. (2017), “Webinar: transportation benefits of parking cash-out, pre-taxcommuter benefits, and parking surtaxes”, TREC Webinar Series.

Guerra, E. and Morris, E.A. (2018), “Cities, automation, and the self-parking elephant in the room”, Planning Theory & Practice, Vol. 19 No. 2, pp. 291-297.

Gutiérrez-i-Puigarnau, E. and Van Ommeren, J. (2011), “Welfare effects of distortionary fringe benefits taxation: the case of employer-provided cars”, International Economic Review, Vol. 52 No. 4, pp. 1105-1122.

Haboucha, C.J., Ishaq, R. and Shiftan, Y. (2017), “User preferences regarding autonomous vehicles”, Transportation Research Part C: Emerging Technologies, Vol. 78, pp. 37-49.

Hampshire, R.C. and Shoup, D. (2018), “What share of traffic is cruising for parking?”, Journal of Transport Economics and Policy, Vol. 52 No. 3, pp. 184-201.

Harb, M., Stathopoulos, A., Shiftan, Y. and Walker, J.L. (2021), “What do we (not) know about our future with automated vehicles?”, Transportation Research Part C: Emerging Technologies, Vol. 123, p. 102948.

Harper, C.D., Hendrickson, C.T., Mangones, S. and 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, Vol. 72, pp. 1-9.

Hashimoto, M. and Zhao, J. (2000), “The labor market effects of non-wage compensations”, Labour Economics, Vol. 7 No. 1, pp. 55-78.

Hess, D.B. and Rehler, J. (2021), “Minus minimums: development response to the removal of minimum parking requirements in buffalo (NY)”, Journal of the American Planning Association, Vol. 87 No. 3, pp. 396-408.

Immowelt (2019), Knapp 200 Euro Miete Für Den Stellplatz: Parken Ist in Deutschen Großstädten Ein Teures Vergnügen, Pressemitteilungen, Nuremburg.

Inci, E. (2015), “A review of the economics of parking”, Economics of Transportation, Vol. 4 No. 1-2, pp. 50-63.

Inci, E., van Ommeren, J.N. and Kobus, M. (2017), “The external cruising costs of parking”, Journal of Economic Geography, Vol. 17 No. 6, pp. 1301-1323.

Kahneman, D. and Krueger, A.B. (2006), “Developments in the measurement of subjective well-being”, Journal of Economic Perspectives, Vol. 20 No. 1, pp. 3-24.

Kasper, H. (1983), “Toward estimating the incidence of journey-to-work costs”, Urban Studies, Vol. 20 No. 2, pp. 197-208.

Katz, A. and Mankiw, N.G. (1985), “How should fringe benefits be taxed?”, National Tax Journal, Vol. 38 No. 1, pp. 37-46.

Khayati, Y., Kang, J.E., Karwan, M. and Murray, C. (2021), “Household use of autonomous vehicles with ride sourcing”, Transportation Research Part C: Emerging Technologies, Vol. 125, p. 102998.

Khordagui, N. (2019), “Parking prices and the decision to drive to work: evidence from California”, Transportation Research Part A: Policy and Practice, Vol. 130, pp. 479-495.

Kodransky, M. and Hermann, G. (2011), Europe’s Parking U-Turn: From Accomodation to Regulation, Institute for Transportation and Development Policy, New York.

Koslowsky, M., Kluger, A.N. and Reich, M. (2013), Commuting Stress: Causes, Effects, and Methods of Coping, Springer Science & Business Media, New York.

Kröger, L., Kuhnimhof, T. and Trommer, S. (2019), “Does context matter? A comparative study modelling autonomous vehicle impact on travel behaviour for Germany and the USA”, Transportation Research Part A: Policy and Practice, Vol. 122, pp. 146-161.

Künn-Nelen, A. (2016), “Does commuting affect health?”, Health Economics, Vol. 25 No. 8, pp. 984-1004.

Kyriakidis, M., Happee, R. and de Winter, J.C. (2015), “Public opinion on automated driving: results of an international questionnaire among 5000 respondents”, Transportation Research Part F: Traffic Psychology and Behaviour, Vol. 32, pp. 127-140.

Laidlaw, K., Sweet, M. and Olsen, T. (2018), Forecasting the Outlook for Automated Vehicles in the Greater Toronto and Hamilton Area Using a 2016 Consumer Survey, Ryerson School of Urban and Regional Planning, Toronto.

Levin, M.W., Wong, E., Nault-Maurer, B. and Khani, A. (2020), “Parking infrastructure design for repositioning autonomous vehicles”, Transportation Research Part C: Emerging Technologies, Vol. 120, p. 102838.

Liu, W. (2018), “An equilibrium analysis of commuter parking in the era of autonomous vehicles”, Transportation Research Part C: Emerging Technologies, Vol. 92, pp. 191-207.

Ma, L. and Ye, R. (2019), “Does daily commuting behavior matter to employee productivity?”, Journal of Transport Geography, Vol. 76, pp. 130-141.

Madden, J.F. (1985), “Urban wage gradients: empirical evidence”, Journal of Urban Economics, Vol. 18 No. 3, pp. 291-301.

Manning, A. (2003), “The real thin theory: monopsony in modern labour markets”, Labour Economics, Vol. 10 No. 2, pp. 105-131.

Manville, M. and Shoup, D. (2005), “Parking, people, and cities”, Journal of Urban Planning and Development, Vol. 131 No. 4, pp. 233-245.

Marsden, G. (2006), “The evidence base for parking policies – a review”, Transport Policy, Vol. 13 No. 6, pp. 447-457.

Milakis, D., Van Arem, B. and 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, Vol. 21 No. 4, pp. 324-348.

Millard-Ball, A. (2019), “The autonomous vehicle parking problem”, Transport Policy, Vol. 75, pp. 99-108.

Morita, T. and Managi, S. (2020), “Autonomous vehicles: willingness to pay and the social dilemma”, Transportation Research Part C: Emerging Technologies, Vol. 119, pp. 102748.

National Highway Traffic Safety Administration (NHTSA) (2013), Preliminary Statement of Policy concerning Automated Vehicles System, Washington, DC.

Nourinejad, M., Bahrami, S. and Roorda, M.J. (2018), “Designing parking facilities for autonomous vehicles”, Transportation Research Part B: Methodological, Vol. 109, pp. 110-127.

Okeke, O.B. (2020), “The impacts of shared autonomous vehicles on car parking space”, Case Studies on Transport Policy, Vol. 8 No. 4, pp. 1307-1318.

Onishi, A., Cao, X., Ito, T., Shi, F. and Imura, H. (2010), “Evaluating the potential for urban heat-island mitigation by greening parking lots”, Urban Forestry & Urban Greening, Vol. 9 No. 4, pp. 323-332.

Pakusch, C., Stevens, G., Boden, A. and Bossauer, P. (2018), “Unintended effects of autonomous driving: a study on mobility preferences in the future”, Sustainability, Vol. 10 No. 7, p. 2404.

Perini, K. and Magliocco, A. (2014), “Effects of vegetation, urban density, building height, and atmospheric conditions on local temperatures and thermal comfort”, Urban Forestry & Urban Greening, Vol. 13 No. 3, pp. 495-506.

Pons-Rigat, A., Proost, S. and Turró, M. (2020), “Workplace parking policies in an agglomeration: an illustration for Barcelona”, Economics of Transportation, Vol. 24, p. 100194.

Prud’homme, R. and Lee, C.W. (1999), “Size, sprawl, speed and the efficiency of cities”, Urban Studies, Vol. 36 No. 11, pp. 1849-1858.

Pudāne, B., van Cranenburgh, S. and Chorus, C.G. (2021), “A day in the life with an automated vehicle: empirical analysis of data from an interactive stated activity-travel survey”, Journal of Choice Modelling, Vol. 39, p. 100286.

Pudāne, B., Molin, E.J., Arentze, T.A., Maknoon, Y. and Chorus, C.G. (2018), “A time-use model for the automated vehicle-era”, Transportation Research Part C: Emerging Technologies, Vol. 93, pp. 102-114.

Rashidi, T.H., Waller, T. and Axhausen, K. (2020), “Reduced value of time for autonomous vehicle users: myth or reality?”, Transport Policy, Vol. 95, pp. 30-36.

Rivadeneyra, A.T., Shirgaokar, M., Deakin, E. and Riggs, W. (2017), “Building more parking at major employment centers: can full-cost recovery parking charges fund TDM programs?”, Case Studies on Transport Policy, Vol. 5 No. 1, pp. 159-167.

Rodrigues, R., Moura, F., Silva, A.B. and Seco, Á. (2021), “The determinants of Portuguese preference for vehicle automation: a descriptive and explanatory study”, Transportation Research Part F: Traffic Psychology and Behaviour, Vol. 76, pp. 121-138.

Ross, S.L. and Zenou, Y. (2008), “Are shirking and leisure substitutable? An empirical test of efficiency wages based on urban economic theory”, Regional Science and Urban Economics, Vol. 38 No. 5, pp. 498-517.

Shoup, D. (1997), “Evaluating the effects of cashing out employer-paid parking: eight case studies”, Transport Policy, Vol. 4 No. 4, pp. 201-216.

Shoup, D. (1999), “The trouble with minimum parking requirements”, Transportation Research Part A: Policy and Practice, Vol. 33 Nos 7/8, pp. 549-574.

Shoup, D. (2005), Parking Cash out, American Planning Association, Chicago.

Shoup, D. (2006), “Cruising for parking”, Transport Policy, Vol. 13 No. 6, pp. 479-486.

Shoup, D. (2017), The High Cost of Free Parking: Updated Edition, Routledge, Abingdon.

DOI
Shoup, D. (2020), “Learning from parking reforms in other cities”, Parking, pp. 1-14, Elsevier, Amsterdam.
DOI

Shoup, D. and Willson, R.W. (1992), “Employer-paid parking: the problem and proposed solutions”, Transportation Quarterly, Vol. 46 No. 2, pp. 169-192.

Siddique, P.J., Gue, K.R. and Usher, J.S. (2021), “Puzzle-based parking”, Transportation Research Part C: Emerging Technologies, Vol. 127, p. 103112.

Simoni, M.D., Kockelman, K.M., Gurumurthy, K.M. and Bischoff, J. (2019), “Congestion pricing in a world of self-driving vehicles: an analysis of different strategies in alternative future scenarios”, Transportation Research Part C: Emerging Technologies, Vol. 98, pp. 167-185.

Singleton, P.A. (2019), “Discussing the ‘positive utilities’ of autonomous vehicles: will travellers really use their time productively?”, Transport Reviews, Vol. 39 No. 1, pp. 50-65.

Small, K.A. (2012), “Valuation of travel time”, Economics of Transportation, Vol. 1 Nos 1/2, pp. 2-14.

Small, K.A. and Verhoef, E.T. (2007), The Economics of Urban Transportation, Routledge, Abingdon.

DOI

Society of Automotive Engineers (SAE) (2016), Taxonomy and Definitions for Terms Related to Driving Automation Systems for on-Road Motor Vehicles, SAE International (Standard J3016), Warrendale.

Stutzer, A. and Frey, B.S. (2008), “Stress that doesn’t pay: the commuting paradox”, Scandinavian Journal of Economics, Vol. 110 No. 2, pp. 339-366.

Su, Q. and Wang, D.Z. (2020), “On the morning commute problem with distant parking options in the era of autonomous vehicles”, Transportation Research Part C: Emerging Technologies, Vol. 120, p. 102799.

Subraveti, H., Srivastava, A., Ahn, S., Knoop, V.L. and van Arem, B. (2021), “On lane assignment of connected automated vehicles: strategies to improve traffic flow at diverge and weave bottlenecks”, Transportation Research Part C: Emerging Technologies, Vol. 127, p. 103126.

Talebpour, A. and Mahmassani, H.S. (2016), “Influence of connected and autonomous vehicles on traffic flow stability and throughput”, Transportation Research Part C: Emerging Technologies, Vol. 71, pp. 143-163.

Tirachini, A., Hensher, D.A. and Rose, J.M. (2013), “Crowding in public transport systems: effects on users, operation and implications for the estimation of demand”, Transportation Research Part A: Policy and Practice, Vol. 53, pp. 36-52.

Tscharaktschiew, S. and Evangelinos, C. (2019), “Pigouvian road congestion pricing under autonomous driving mode choice”, Transportation Research Part C: Emerging Technologies, Vol. 101, pp. 79-95.

Tscharaktschiew, S. and Evangelinos, C. (2022), “Optimal transport pricing in an age of fully autonomous vehicles: is it getting more complicated?”, Future Transportation, Vol. 2 No. 2, pp. 347-364.

Tscharaktschiew, S. and Reimann, F. (2021), “On employer-paid parking and parking (cash-out) policy: a formal synthesis of different perspectives”, Transport Policy, Vol. 110, pp. 499-516.

Tscharaktschiew, S., Reimann, F. and Evangelinos, C. (2022), “Repositioning of driverless cars: is return to home rather than downtown parking economically viable?”, Transportation Research Interdisciplinary Perspectives, Vol. 13, p. 100547.

Van Ommeren, J.N. and Gutiérrez-i-Puigarnau, E. (2011), “Are workers with a long commute less productive? An empirical analysis of absenteeism”, Regional Science and Urban Economics, Vol. 41 No. 1, pp. 1-8.

Van Ommeren, J.N. and Wentink, D. (2012), “The (hidden) cost of employer parking policies”, International Economic Review, Vol. 53 No. 3, pp. 965-978.

Van Ommeren, J., van der Vlist, A. and Nijkamp, P. (2006), “Transport-related fringe benefits: implications for moving and the journey to work”, Journal of Regional Science, Vol. 46 No. 3, pp. 493-506.

Van Ommeren, J.N., Wentink, D. and Rietveld, P. (2012), “Empirical evidence on cruising for parking”, Transportation Research Part A: Policy and Practice, Vol. 46 No. 1, pp. 123-130.

Verhoef, E., Nijkamp, P. and Rietveld, P. (1995), “The economics of regulatory parking policies: the (im) possibilities of parking policies in traffic regulation”, Transportation Research Part A: Policy and Practice, Vol. 29 No. 2, pp. 141-156.

Vovsha, P. and Petersen, E. (2009), “Model for person and household mobility attributes”, Transportation Research Record, Vol. 2132 No. 1, pp. 95-105.

Wadud, Z. and Chintakayala, P.K. (2021), To Own or Not to Own – That is the Question: The Value of Owning a (Fully Automated) Vehicle, Emerging Technologies, Transportation Research Part C, Vol. 123, p. 102978.

DOI

Watters, P., O’Mahony, M. and Caulfield, B. (2006), “Response to cash outs for work place parking and work place parking charges”, Transport Policy, Vol. 13 No. 6, pp. 503-510.

Willson, R.W. and Shoup, D. (1990), “Parking subsidies and travel choices: assessing the evidence”, Transportation, Vol. 17 No. 2, pp. 141-157.

Winston, C. (2013), “On the performance of the US transportation system: caution ahead”, Journal of Economic Literature, Vol. 51 No. 3, pp. 773-824.

Xu, Q., Li, K., Wang, J., Yuan, Q., Yang, Y. and Chu, W. (2022), “The status, challenges, and trends: an interpretation of technology roadmap of intelligent and connected vehicles in China (2020)”, Journal of Intelligent and Connected Vehicles, Vol. 5 No. 1, pp. 1-7.

Zakharenko, R. (2016), “Self-driving cars will change cities”, Regional Science and Urban Economics, Vol. 61, pp. 26-37.

Zax, J.S. (1988), “Fringe benefits, income tax exemptions, and implicit subsides”, Journal of Public Economics, Vol. 37 No. 2, pp. 171-183.

Zax, J.S. (1991), “Compensation for commutes in labor and housing markets”, Journal of Urban Economics, Vol. 30 No. 2, pp. 192-207.

Zenou, Y. (2002), “How do firms redline workers?”, Journal of Urban Economics, Vol. 52 No. 3, pp. 391-408.

Zhang, W., Guhathakurta, S. and Khalil, E.B. (2018), “The impact of private autonomous vehicles on vehicle ownership and unoccupied VMT generation”, Transportation Research Part C: Emerging Technologies, Vol. 90, pp. 156-165.

Zhang, W., Guhathakurta, S., Fang, J. and Zhang, G. (2015), “Exploring the impact of shared autonomous vehicles on urban parking demand: an agent-based simulation approach”, Sustainable Cities and Society, Vol. 19, pp. 34-45.

Zhang, X., Liu, W., Waller, S.T. and Yin, Y. (2019a), “Modelling and managing the integrated morning-evening commuting and parking patterns under the fully autonomous vehicle environment”, Transportation Research Part B: Methodological, Vol. 128, pp. 380-407.

Zhang, T., Tao, D., Qu, X., Zhang, X., Lin, R. and Zhang, W. (2019b), “The roles of initial trust and perceived risk in public’s acceptance of automated vehicles”, Transportation Research Part C: Emerging Technologies, Vol. 98, pp. 207-220.

Zmud, J.P. and Sener, IN. (2017), “Towards an understanding of the travel behavior impact of autonomous vehicles”, Transportation Research Procedia, Vol. 25, pp. 2500-2519.

Publication history
Copyright
Acknowledgements
Rights and permissions

Publication history

Received: 10 July 2022
Revised: 27 July 2022
Accepted: 27 July 2022
Published: 23 August 2022
Issue date: October 2022

Copyright

© 2022 Stefan Tscharaktschiew and Felix Reimann. Published in Journal of Intelligent and Connected Vehicles. Published by Emerald Publishing Limited.

Acknowledgements

The authors gratefully acknowledge financial support by the German Research Foundation (Deutsche Forschungsgemeinschaft, DFG): grant 434191927. Authors also appreciate feedback by anonymous referees and the editor.

Rights and permissions

This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence maybe seen at http://creativecommons.org/licences/by/4.0/legalcode

Return