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Joint modeling of arrivals and parking durations for freight loading zones: Potential applications to improving urban logistics

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  • Kalahasthi, Lokesh Kumar
  • Sánchez-Díaz, Iván
  • Pablo Castrellon, Juan
  • Gil, Jorge
  • Browne, Michael
  • Hayes, Simon
  • Sentís Ros, Carles

Abstract

This paper analyzes truck parking patterns in urban freight loading zones by jointly modeling the vehicle arrival rates and the parking durations. Three models were explored: 1) Count data (Negative Binomial) for vehicle arrivals, 2) Survival (Weibull) model for parking duration and 3) A joint model for arrivals and duration. The count data model estimates the parking demand i.e., the rate of truck arrival, while the survival model estimates the probability that a truck is parked for one more minute. The joint model is compared with separate models for predictability and performance. The dataset used in this research is obtained using a mobile phone parking application, at eight loading zones in the city Vic, Spain over an 18-month period from July 2018 to December 2019, comprised of vehicle parking durations, date, time of arrival and departure, professional activity, and vehicle type (weight). The parking activity data are complemented with built in environment variables of the loading zones, such as the number of establishments in a certain radius, the average walking distance to establishments, the presence of pedestrian pavement, the number of traffic lanes, among others. The joint model outperforms the models estimating the arrival rates and durations separately in goodness of fit and predictability. The model results showed that truck arrival rates vary significantly across days of the week, months, and arrival times. The parking durations are highly dependent on professional activity, vehicle type, and size. Tuesdays and Wednesdays have higher arrival rates compared to other days of a week (except Sundays). Among activities, the transport and parcels require longer parking durations. Among the vehicle types, trucks with gross weight larger than 3.5 tons park longer. This paper concludes by explaining the potential of these modeling approaches in improving urban freight operations, evaluation of various policy implications, limitations, and future research.

Suggested Citation

  • Kalahasthi, Lokesh Kumar & Sánchez-Díaz, Iván & Pablo Castrellon, Juan & Gil, Jorge & Browne, Michael & Hayes, Simon & Sentís Ros, Carles, 2022. "Joint modeling of arrivals and parking durations for freight loading zones: Potential applications to improving urban logistics," Transportation Research Part A: Policy and Practice, Elsevier, vol. 166(C), pages 307-329.
    • Handle: RePEc:eee:transa:v:166:y:2022:i:c:p:307-329
    DOI: 10.1016/j.tra.2022.11.003
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    1. Jeff Pitblado, 2013. "Generalizing sem in Stata," 2013 Stata Conference 22, Stata Users Group.
    2. Holguín-Veras, José & Kalahasthi, Lokesh & Ramirez-Rios, Diana G., 2021. "Service trip attraction in commercial establishments," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).
    3. B. J. Cowling & J. L. Hutton & J. E. H. Shaw, 2006. "Joint modelling of event counts and survival times," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 55(1), pages 31-39, January.
    4. Ivan Sanchez-Diaz & Laura Palacios-Argüello & Anders Levandi & Jimmy Mardberg & Rafael Basso, 2020. "A Time-Efficiency Study of Medium-Duty Trucks Delivering in Urban Environments," Sustainability, MDPI, vol. 12(1), pages 1-15, January.
    5. Bruce G. Marcot & Anca M. Hanea, 2021. "What is an optimal value of k in k-fold cross-validation in discrete Bayesian network analysis?," Computational Statistics, Springer, vol. 36(3), pages 2009-2031, September.
    6. Roger B. Newson, 2010. "Comparing the predictive powers of survival models using Harrell’s C or Somers’ D," Stata Journal, StataCorp LP, vol. 10(3), pages 339-358, September.
    7. Ibeas, Ángel & Cordera, Ruben & dell'Olio, Luigi & Moura, Jose Luis, 2011. "Modelling demand in restricted parking zones," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(6), pages 485-498, July.
    8. Schmid, Joshua & Wang, Xiaokun (Cara) & Conway, Alison, 2018. "Commercial vehicle parking duration in New York City and its implications for planning," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 580-590.
    9. Nourinejad, Mehdi & Wenneman, Adam & Habib, Khandker Nurul & Roorda, Matthew J., 2014. "Truck parking in urban areas: Application of choice modelling within traffic microsimulation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 64(C), pages 54-64.
    10. Hausman, Jerry & Hall, Bronwyn H & Griliches, Zvi, 1984. "Econometric Models for Count Data with an Application to the Patents-R&D Relationship," Econometrica, Econometric Society, vol. 52(4), pages 909-938, July.
    11. Marcucci, Edoardo & Gatta, Valerio & Scaccia, Luisa, 2015. "Urban freight, parking and pricing policies: An evaluation from a transport providers’ perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 74(C), pages 239-249.
    12. Lindholm, Maria & Behrends, Sönke, 2012. "Challenges in urban freight transport planning – a review in the Baltic Sea Region," Journal of Transport Geography, Elsevier, vol. 22(C), pages 129-136.
    13. Julian Allen & Michael Browne & Allan Woodburn & Jacques Leonardi, 2012. "The Role of Urban Consolidation Centres in Sustainable Freight Transport," Transport Reviews, Taylor & Francis Journals, vol. 32(4), pages 473-490, April.
    14. Marsden, Greg, 2006. "The evidence base for parking policies--a review," Transport Policy, Elsevier, vol. 13(6), pages 447-457, November.
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