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Evaluation of city-scale built environment policies in New York City with an emerging-mobility-accessible synthetic population

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  • He, Brian Y.
  • Zhou, Jinkai
  • Ma, Ziyi
  • Chow, Joseph Y.J.
  • Ozbay, Kaan

Abstract

With the rise of smart cities, a number of new mobility services have emerged to drive changes in built environment policies. Up-to-date demand models are needed to capture the impact of these policies on emerging mobility-enabled travel patterns. The study explores modeling requirements to assess the impact of such built environment policies. A synthetic population of New York City with a tour-based nested logit mode choice model was developed with accessibility to bikesharing and ride hail services via smartphone ownership. The model results suggest Manhattanites have a value of time of $29/h, consistent with the literature. Smartphone ownership is positively influenced by income and negatively influenced by age, and in turn negatively impacts Citi Bike ridership relative to other modes available. The synthetic population is also applied to analyze two city-scale built environment scenarios: a hypothetical Amazon headquarter deployment and a Citi Bike service expansion. If Amazon succeeded in Long Island City, it would have increased the number of trips to/from that neighborhood by 239%, of which FHVs would grow by over 441% and transit by 294%. It would have led to an increase of peak morning trips from 5000 up to at least 8000. Citi Bike’s expansion plan would grow ridership by 92%, and if they were able to expand efficiently throughout NYC this would grow further to 210% over the baseline.

Suggested Citation

  • He, Brian Y. & Zhou, Jinkai & Ma, Ziyi & Chow, Joseph Y.J. & Ozbay, Kaan, 2020. "Evaluation of city-scale built environment policies in New York City with an emerging-mobility-accessible synthetic population," Transportation Research Part A: Policy and Practice, Elsevier, vol. 141(C), pages 444-467.
    • Handle: RePEc:eee:transa:v:141:y:2020:i:c:p:444-467
    DOI: 10.1016/j.tra.2020.10.006
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    References listed on IDEAS

    as
    1. Yoram Shiftan & Moshe Ben-Akiva, 2011. "A practical policy-sensitive, activity-based, travel-demand model," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 47(3), pages 517-541, December.
    2. Lam, Terence C. & Small, Kenneth A., 0. "The value of time and reliability: measurement from a value pricing experiment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 37(2-3), pages 231-251, April.
    3. Reid Ewing & Robert Cervero, 2010. "Travel and the Built Environment," Journal of the American Planning Association, Taylor & Francis Journals, vol. 76(3), pages 265-294.
    4. Le Vine, Scott & Adamou, Orestes & Polak, John, 2014. "Predicting new forms of activity/mobility patterns enabled by shared-mobility services through a needs-based stated-response method: Case study of grocery shopping," Transport Policy, Elsevier, vol. 32(C), pages 60-68.
    5. David Pritchard & Eric Miller, 2012. "Advances in population synthesis: fitting many attributes per agent and fitting to household and person margins simultaneously," Transportation, Springer, vol. 39(3), pages 685-704, May.
    6. Cynthia Chen & Hongmian Gong & Robert Paaswell, 2008. "Role of the built environment on mode choice decisions: additional evidence on the impact of density," Transportation, Springer, vol. 35(3), pages 285-299, May.
    7. Felipe F. Dias & Patrícia S. Lavieri & Venu M. Garikapati & Sebastian Astroza & Ram M. Pendyala & Chandra R. Bhat, 2017. "A behavioral choice model of the use of car-sharing and ride-sourcing services," Transportation, Springer, vol. 44(6), pages 1307-1323, November.
    8. Beckman, Richard J. & Baggerly, Keith A. & McKay, Michael D., 1996. "Creating synthetic baseline populations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 30(6), pages 415-429, November.
    9. Eric Miller & Matthew Roorda & Juan Carrasco, 2005. "A tour-based model of travel mode choice," Transportation, Springer, vol. 32(4), pages 399-422, July.
    10. Small, Kenneth A., 2001. "The Value of Pricing," University of California Transportation Center, Working Papers qt0rm449sx, University of California Transportation Center.
    11. Faghih-Imani, Ahmadreza & Anowar, Sabreena & Miller, Eric J. & Eluru, Naveen, 2017. "Hail a cab or ride a bike? A travel time comparison of taxi and bicycle-sharing systems in New York City," Transportation Research Part A: Policy and Practice, Elsevier, vol. 101(C), pages 11-21.
    12. Ding, Chuan & Wang, Donggen & Liu, Chao & Zhang, Yi & Yang, Jiawen, 2017. "Exploring the influence of built environment on travel mode choice considering the mediating effects of car ownership and travel distance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 65-80.
    13. Burgess, Robin & Costa, Francisco J M & Olken, Ben, 2019. "The Brazilian Amazon’s Double Reversal of Fortune," SocArXiv 67xg5, Center for Open Science.
    14. Bhat, Chandra R. & Sen, Sudeshna & Eluru, Naveen, 2009. "The impact of demographics, built environment attributes, vehicle characteristics, and gasoline prices on household vehicle holdings and use," Transportation Research Part B: Methodological, Elsevier, vol. 43(1), pages 1-18, January.
    15. Farooq, Bilal & Bierlaire, Michel & Hurtubia, Ricardo & Flötteröd, Gunnar, 2013. "Simulation based population synthesis," Transportation Research Part B: Methodological, Elsevier, vol. 58(C), pages 243-263.
    16. Ye, Xin & Pendyala, Ram M. & Gottardi, Giovanni, 2007. "An exploration of the relationship between mode choice and complexity of trip chaining patterns," Transportation Research Part B: Methodological, Elsevier, vol. 41(1), pages 96-113, January.
    17. Abdul Rawoof Pinjari & Chandra R. Bhat, 2011. "Activity-based Travel Demand Analysis," Chapters, in: André de Palma & Robin Lindsey & Emile Quinet & Roger Vickerman (ed.), A Handbook of Transport Economics, chapter 10, Edward Elgar Publishing.
    Full references (including those not matched with items on IDEAS)

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