Analyzing the parcel delivery pattern in the Global South: The case of Belo Horizonte, Brazil

Leise Kelli de Oliveira et al.

Journal of Transport and Land Use2026https://doi.org/10.5198/jtlu.2026.2595article
ABDC B
Weight
0.50

What the paper says

This study investigates parcel delivery patterns in Belo Horizonte, Brazil, to elucidate the influence of spatial inequalities, urban structure, socioeconomic factors, and retail diversity on delivery demand, employing spatial regression models. The results reveal that income and retail diversity positively impact parcel delivery, while food deserts drive increased reliance on e-commerce due to limited local options. In particular, the distance from the city center negatively affects delivery patterns, highlighting spatial inequities. Areas characterized by social inequalities exhibit greater delivery activity, highlighting e-commerce as a vital alternative where local services are scarce. These findings advocate for integrated urban planning policies that strategically leverage parcel delivery services to achieve more equitable access, address service gaps, and foster delivery expansion in marginalized areas.

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.5198/jtlu.2026.2595

Or copy a formatted citation

@article{leise2026,
  title        = {{Analyzing the parcel delivery pattern in the Global South: The case of Belo Horizonte, Brazil}},
  author       = {Leise Kelli de Oliveira et al.},
  journal      = {Journal of Transport and Land Use},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.5198/jtlu.2026.2595},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Analyzing the parcel delivery pattern in the Global South: The case of Belo Horizonte, Brazil

Flags are reviewed by the Arbiter methodology team within 5 business days.


Evidence weight

0.50

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

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
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.