IDEAS home Printed from https://ideas.repec.org/a/eee/trapol/v142y2023icp37-45.html
   My bibliography  Save this article

An exploratory analysis on city characteristics likely to affect autonomous vehicle legislation enactment across the United States

Author

Listed:
  • Alnajjar, Hella
  • Ozbay, Kaan
  • Iftekhar, Lamia

Abstract

As Autonomous Vehicle (AV) technology enters developmental maturity, the need for real-life testing is crucial. AV testing and deployment in a city or State must be preceded by favorable legislation in that jurisdiction. However, research on which city characteristics affect the likelihood of adopting AV legislation remains in question. In this paper, we investigate city characteristics of different urbanized areas (UZAs) in States across the US. Panel data was collected from 29 UZAs and 23 States over the span of eight years (2011–2018) on variables such as existing AV legislations, electric vehicle score, congestion, and vehicle miles traveled (VMT). A method of fixed effects logistic regression is implemented to overcome omitted variable bias and the limitation of datasets available. Features are selected through the leaps and bounds algorithm, and time and State fixed-effects logistic regression models are tested to predict a binary variable for AV legislation enactment in UZAs. Our results yield a five-predictor State fixed effects model as the most robust by variable statistical significance and concordance. The findings reveal that an increase in electric vehicle use, GDP per capita, freeway VMT, and land use score of a UZA increase likelihood of AV testing adoption, while an increase in fatality cases negatively impact the likelihood of adoption (Ceteris paribus).

Suggested Citation

  • Alnajjar, Hella & Ozbay, Kaan & Iftekhar, Lamia, 2023. "An exploratory analysis on city characteristics likely to affect autonomous vehicle legislation enactment across the United States," Transport Policy, Elsevier, vol. 142(C), pages 37-45.
    • Handle: RePEc:eee:trapol:v:142:y:2023:i:c:p:37-45
    DOI: 10.1016/j.tranpol.2023.08.006
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0967070X23002159
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tranpol.2023.08.006?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Nadafianshahamabadi, Razieh & Tayarani, Mohammad & Rowangould, Gregory, 2021. "A closer look at urban development under the emergence of autonomous vehicles: Traffic, land use and air quality impacts," Journal of Transport Geography, Elsevier, vol. 94(C).
    2. Wei Shi & Lung-fei Lee, 2018. "The effects of gun control on crimes: a spatial interactive fixed effects approach," Empirical Economics, Springer, vol. 55(1), pages 233-263, August.
    3. Gary Chamberlain, 1980. "Analysis of Covariance with Qualitative Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(1), pages 225-238.
    4. Stammann, Amrei & Heiß, Florian & McFadden, Daniel, 2016. "Estimating Fixed Effects Logit Models with Large Panel Data," VfS Annual Conference 2016 (Augsburg): Demographic Change 145837, Verein für Socialpolitik / German Economic Association.
    5. Nader Zali & Sara Amiri & Tan Yigitcanlar & Ali Soltani, 2022. "Autonomous Vehicle Adoption in Developing Countries: Futurist Insights," Energies, MDPI, vol. 15(22), pages 1-26, November.
    6. Tengilimoglu, Oguz & Carsten, Oliver & Wadud, Zia, 2023. "Implications of automated vehicles for physical road environment: A comprehensive review," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 169(C).
    7. Rosenblum, Jeffrey & Hudson, Anne W. & Ben-Joseph, Eran, 2020. "Parking futures: An international review of trends and speculation," Land Use Policy, Elsevier, vol. 91(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chung‐Hua Shen & Hsing‐Hua Hsu, 2022. "The determinants of Asian banking crises—Application of the panel threshold logit model," International Review of Finance, International Review of Finance Ltd., vol. 22(1), pages 248-277, March.
    2. Francesco Bartolucci & Claudia Pigini, 2018. "Partial effects estimation for fixed-effects logit panel data models," Working Papers 431, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    3. Francesco Bartolucci & Claudia Pigini & Francesco Valentini, 2023. "Conditional inference and bias reduction for partial effects estimation of fixed-effects logit models," Empirical Economics, Springer, vol. 64(5), pages 2257-2290, May.
    4. Keita Abe & Christopher M. Anderson & Matthew N. Reimer, 2022. "Catch More to Catch Less: Estimating Timing Choice as Dynamic Bycatch Avoidance Behavior," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 82(4), pages 953-984, August.
    5. Ariel Pakes & Jack Porter, 2024. "Moment inequalities for multinomial choice with fixed effects," Quantitative Economics, Econometric Society, vol. 15(1), pages 1-25, January.
    6. Laisney, François & Pohlmeier, Winfried & Staat, Matthias, 1991. "Estimation of labour supply functions using panel data: a survey," ZEW Discussion Papers 91-05, ZEW - Leibniz Centre for European Economic Research.
    7. Das, Marcel & van Soest, Arthur, 1999. "A panel data model for subjective information on household income growth," Journal of Economic Behavior & Organization, Elsevier, vol. 40(4), pages 409-426, December.
    8. Iván Fernández-Val & Martin Weidner, 2018. "Fixed Effects Estimation of Large-TPanel Data Models," Annual Review of Economics, Annual Reviews, vol. 10(1), pages 109-138, August.
    9. Chamberlain, Gary, 1982. "Multivariate regression models for panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 5-46, January.
    10. Chen, Yi-Yi & Schmidt, Peter & Wang, Hung-Jen, 2014. "Consistent estimation of the fixed effects stochastic frontier model," Journal of Econometrics, Elsevier, vol. 181(2), pages 65-76.
    11. Schaffner, Sandra & Spengler, Hannes, 2005. "Der Einfluss unbeobachteter Heterogenität auf kompensatorische Lohndifferentiale und den Wert eines Statistischen Lebens: Eine mikroökonometrische Parallelanalyse mit IABS und SOEP," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 36800, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    12. Alfò, Marco & Carbonari, Lorenzo & Trovato, Giovanni, 2023. "On the effects of taxation on growth: an empirical assessment," Macroeconomic Dynamics, Cambridge University Press, vol. 27(5), pages 1289-1318, July.
    13. Joseph G. Altonji & Rosa L. Matzkin, 2001. "Panel Data Estimators for Nonseparable Models with Endogenous Regressors," NBER Technical Working Papers 0267, National Bureau of Economic Research, Inc.
    14. Jan Brenner, 2007. "Parental Impact on Attitude Formation - A Siblings Study on Worries about Immigration," Ruhr Economic Papers 0022, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    15. Trottmann, Maria & Zweifel, Peter & Beck, Konstantin, 2012. "Supply-side and demand-side cost sharing in deregulated social health insurance: Which is more effective?," Journal of Health Economics, Elsevier, vol. 31(1), pages 231-242.
    16. Susan Averett & Sanders Korenman, 1996. "The Economic Reality of the Beauty Myth," Journal of Human Resources, University of Wisconsin Press, vol. 31(2), pages 304-330.
    17. Sheahan, Megan & Black, Roy & Jayne, T.S., 2013. "Are Kenyan farmers under-utilizing fertilizer? Implications for input intensification strategies and research," Food Policy, Elsevier, vol. 41(C), pages 39-52.
    18. Alvarez, Javier & Arellano, Manuel, 2022. "Robust likelihood estimation of dynamic panel data models," Journal of Econometrics, Elsevier, vol. 226(1), pages 21-61.
    19. Seth Gershenson, 2016. "Performance Standards and Employee Effort: Evidence From Teacher Absences," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 35(3), pages 615-638, June.
    20. Costa-Font, Joan & Vilaplana-Prieto, Cristina, 2022. "Health shocks and housing downsizing: How persistent is ‘ageing in place’?," Journal of Economic Behavior & Organization, Elsevier, vol. 204(C), pages 490-508.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:trapol:v:142:y:2023:i:c:p:37-45. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/30473/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.