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Service trip generation modeling in urban areas

Author

Listed:
  • Gonzalez-Calderon, Carlos A.
  • Moreno-Palacio, Diana Patricia
  • Posada-Henao, John Jairo
  • Quintero-Giraldo, Ricardo
  • Múnera, César Chavarría

Abstract

Using modeling techniques as Ordinary Least Squares-OLS, this paper studies the main variables that affect service trip generation (STG) (production and attraction) by the service sector (e.g., maintenance, repairs) in commercial establishments located in urban areas of developing countries. Data obtained from Medellin Metropolitan Area (Colombia) origin–destination freight surveys conducted in 2017–2018 were used to analyze service trips for the first time in the region. This helped determine the number of produced and attracted service trips, average duration per service, most used modes of transport in service trips, and other characteristics that improve the understanding of how service trips work in urban areas This information might help in analyses of variables that mainly influence STG. To this effect, the authors estimated more than 30 service trip production and attraction models for establishments; these models depend on independent variables, such as employment, and establishment’s area. Finally, the freight community will benefit from these models because transport planners would analyze service trips as part of the freight and service activities in urban areas to contribute to improve the mobility using the models to plan better the transportation in the areas.

Suggested Citation

  • Gonzalez-Calderon, Carlos A. & Moreno-Palacio, Diana Patricia & Posada-Henao, John Jairo & Quintero-Giraldo, Ricardo & Múnera, César Chavarría, 2022. "Service trip generation modeling in urban areas," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 160(C).
    • Handle: RePEc:eee:transe:v:160:y:2022:i:c:s136655452200045x
    DOI: 10.1016/j.tre.2022.102649
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    References listed on IDEAS

    as
    1. 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).
    2. Ellison, Richard B. & Teye, Collins & Hensher, David A., 2017. "Modelling Sydney’s light commercial service vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 96(C), pages 79-89.
    3. Krisztin, Tamás, 2018. "Semi-parametric spatial autoregressive models in freight generation modeling," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 114(C), pages 121-143.
    4. Gonzalez-Feliu, Jesus & Sánchez-Díaz, Iván, 2019. "The influence of aggregation level and category construction on estimation quality for freight trip generation models," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 121(C), pages 134-148.
    5. Ottemöller, Ole & Friedrich, Hanno, 2019. "Modelling change in supply-chain-structures and its effect on freight transport demand," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 121(C), pages 23-42.
    6. Iván Sánchez-Díaz & José Holguín-Veras & Xiaokun Wang, 2016. "An exploratory analysis of spatial effects on freight trip attraction," Transportation, Springer, vol. 43(1), pages 177-196, January.
    7. Iván Sánchez-Díaz & José Holguín-Veras & Xiaokun Wang, 2016. "An exploratory analysis of spatial effects on freight trip attraction," Transportation, Springer, vol. 43(1), pages 177-196, January.
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