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Developing B2C freight trip generation model from Courier Express Parcel establishments: A case study of two Indian cities

Momi Deb

European Transport / Trasporti Europei2024https://doi.org/10.48295/et.2024.98.4article
ABDC C
Weight
0.38

What the paper says

A panoptic study of transportation planning requires an investigation of both passenger and freight transportation for the holistic growth of the concerned infrastructure. The increase in online purchases in the last few years has surcharged the courier, express and parcel (CEP) sector and the inclusion of freight trips generated by such establishments is essential while exploring urban freight transport scenarios. This paper essentially explores the different parameters which impact B2C freight trip generation and employs the ordinary least square (OLS) regression approach to model the same. A combined dataset of 104 CEP establishments from two cities in Northeast India, Guwahati and Silchar, was collected using an establishment-based freight survey (EBFS). Modelling inferences showed that delivery executives (DE), gross floor area (GFA) of the establishment, and category of clients (COC) were significant variables in forecasting B2C freight trip generation. The statistical results also showed a positive correlation between the predictors and the B2C freight trips. The estimation of the B2C freight trip model showed that CEP establishments are large freight traffic generators which will provide insight to the urban planners for policy making and r emedial measures.

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https://doi.org/https://doi.org/10.48295/et.2024.98.4

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@article{momi2024,
  title        = {{Developing B2C freight trip generation model from Courier Express Parcel establishments: A case study of two Indian cities}},
  author       = {Momi Deb},
  journal      = {European Transport / Trasporti Europei},
  year         = {2024},
  doi          = {https://doi.org/https://doi.org/10.48295/et.2024.98.4},
}

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Developing B2C freight trip generation model from Courier Express Parcel establishments: A case study of two Indian cities

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Evidence weight

0.38

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.18 × 0.4 = 0.07
M · momentum0.55 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.