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Freight production of agricultural commodities in India using multiple linear regression and generalized additive modelling

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  • Dhulipala, Sowjanya
  • Patil, Gopal R.

Abstract

Freight transportation has a key role in the economic competitiveness of any nation. India is one of the fastest-growing nations in the world; its agricultural sector plays a vital role in contributing to the country's economy. In this paper, the freight production in the agricultural sector of India is modelled using multiple linear regression (MLR) and generalized additive modelling (GAM) approaches. Using district-level data, factors influencing agricultural freight production are identified and the relationship between them is modelled. The study considered 210 districts of eight states covering South India and parts of Central and Western India. Population, employment in the agricultural sector, gross cropped area, and gross irrigated area are identified as influential factors. GAM approach is a flexible method which can predict non-linear responses for the given predictor variables by allowing non-linear functions for each of them while maintaining additivity. The applicability of GAM in modelling freight production while tackling the non-linear effects of predictor variables on freight production is investigated and encouraging results are achieved. The results revealed that both MLR and GAM models have good modelling efficiency, however, the GAM model outperformed the MLR model in both fitting and predicting. The study can be used in evaluating the commodity movements and transportation demand which in turn will help in decision-making for the provision of freight transportation facilities and policymaking.

Suggested Citation

  • Dhulipala, Sowjanya & Patil, Gopal R., 2020. "Freight production of agricultural commodities in India using multiple linear regression and generalized additive modelling," Transport Policy, Elsevier, vol. 97(C), pages 245-258.
    • Handle: RePEc:eee:trapol:v:97:y:2020:i:c:p:245-258
    DOI: 10.1016/j.tranpol.2020.06.012
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    References listed on IDEAS

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    1. World Bank, 2005. "India : Road Transport Service Efficiency Study," World Bank Publications - Reports 8356, The World Bank Group.
    2. 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.
    3. 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.
    4. 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.
    5. Pani, Agnivesh & Sahu, Prasanta K. & Patil, Gopal R. & Sarkar, Ashoke K., 2018. "Modelling urban freight generation: A case study of seven cities in Kerala, India," Transport Policy, Elsevier, vol. 69(C), pages 49-64.
    6. Garrido, Rodrigo A. & Mahmassani, Hani S., 2000. "Forecasting freight transportation demand with the space-time multinomial probit model," Transportation Research Part B: Methodological, Elsevier, vol. 34(5), pages 403-418, June.
    7. Iding, Mirjam H.E. & Meester, Wilhelm J. & Tavasszy, Lóri, 2002. "Freight trip generation by firms," ERSA conference papers ersa02p453, European Regional Science Association.
    8. Joseph Chow & Choon Yang & Amelia Regan, 2010. "State-of-the art of freight forecast modeling: lessons learned and the road ahead," Transportation, Springer, vol. 37(6), pages 1011-1030, November.
    9. David Novak & Christopher Hodgdon & Feng Guo & Lisa Aultman-Hall, 2011. "Nationwide Freight Generation Models: A Spatial Regression Approach," Networks and Spatial Economics, Springer, vol. 11(1), pages 23-41, March.
    10. Garrido, Rodrigo A., 2000. "Spatial interaction between the truck flows through the Mexico-Texas border," Transportation Research Part A: Policy and Practice, Elsevier, vol. 34(1), pages 23-33, January.
    11. Lord, Dominique & Mannering, Fred, 2010. "The statistical analysis of crash-frequency data: A review and assessment of methodological alternatives," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(5), pages 291-305, June.
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    Cited by:

    1. Sowjanya Dhulipala & Gopal R. Patil, 2021. "Identification of freight generating industry complexes: A descriptive spatial analysis," Growth and Change, Wiley Blackwell, vol. 52(4), pages 2680-2712, December.
    2. Ramirez-Rios, Diana G. & Kalahasthi, Lokesh Kumar & Holguín-Veras, José, 2023. "On-street parking for freight, services, and e-commerce traffic in US cities: A simulation model incorporating demand and duration," Transportation Research Part A: Policy and Practice, Elsevier, vol. 169(C).
    3. Zhang, Zhaolin & Zhai, Guocong & Xie, Kun & Xiao, Feng, 2022. "Exploring the nonlinear effects of ridesharing on public transit usage: A case study of San Diego," Journal of Transport Geography, Elsevier, vol. 104(C).
    4. Sowjanya Dhulipala & Gopal R. Patil, 2023. "Regional freight generation and spatial interactions in developing regions using secondary data," Transportation, Springer, vol. 50(3), pages 773-810, June.

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