Hidden Carbon Emissions Induced by Functional Curbside Capacity Loss in Urban Freight Systems

Curbside saturation in dense commercial corridors compromises the sustainability of last mile logistics. This study investigates the impact of “authorized but non functional occupancy” (Class S (Service)), referring to service and tradespeople vehicles, on the operational capacity of loading and unloading zones (LUZ). Based on direct field observations of 474 real vehicle entries in a zone in Zaragoza (Spain), an Erlang B no wait queuing model (M/M/1/1) using weighted occupancy time was applied to contrast current saturation levels with a regulated functional scenario. The results demonstrate that the infrastructure is structurally sufficient: removing inefficient uses reduces traffic intensity from 1.31 to 0.48 Erlangs, increasing service potential by 121.84%. Class S was identified as consuming 36.62% of the lost capacity, exceeding the impact of unauthorized private cars. Total Hidden Carbon Emissions (HCE) amounted to 45.34 kg CO2, establishing an environmental impact of 0.066 kg CO2 per misused linear meter. The study concludes that proper utilization of loading zones is sufficient to accommodate logistics demand and effectively reduce CO2 emissions.

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Publication Details

Journal
Applied Sciences
Published
2026-04-29
DOI
https://doi.org/10.3390/app16094367
Primary Topic
Urban and Freight Transport Logistics
Type
article
Field-Weighted Citation Impact
0.00
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article

Hidden Carbon Emissions Induced by Functional Curbside Capacity Loss in Urban Freight Systems

Juan Carlos Sanchez Catalán, María Pilar Lambán, J. Sánchez, Paula Morella Avinzano et al.
Applied Sciences
Urban and Freight Transport Logistics
article

Hidden Carbon Emissions Induced by Functional Curbside Capacity Loss in Urban Freight Systems

Juan Carlos Sanchez Catalán, María Pilar Lambán, J. Sánchez, Paula Morella Avinzano, Angel Gil Gallego
article en

Abstract

Curbside saturation in dense commercial corridors compromises the sustainability of last mile logistics. This study investigates the impact of “authorized but non functional occupancy” (Class S (Service)), referring to service and tradespeople vehicles, on the operational capacity of loading and unloading zones (LUZ). Based on direct field observations of 474 real vehicle entries in a zone in Zaragoza (Spain), an Erlang B no wait queuing model (M/M/1/1) using weighted occupancy time was applied to contrast current saturation levels with a regulated functional scenario. The results demonstrate that the infrastructure is structurally sufficient: removing inefficient uses reduces traffic intensity from 1.31 to 0.48 Erlangs, increasing service potential by 121.84%. Class S was identified as consuming 36.62% of the lost capacity, exceeding the impact of unauthorized private cars. Total Hidden Carbon Emissions (HCE) amounted to 45.34 kg CO2, establishing an environmental impact of 0.066 kg CO2 per misused linear meter. The study concludes that proper utilization of loading zones is sufficient to accommodate logistics demand and effectively reduce CO2 emissions.

Applied SciencesVol. 16(9)
Universidad de Zaragoza (ES), Tecnalia (ES), Zaragoza Logistics Center (ES), EAE Business School (ES)
Industry, innovation and infrastructure
Openalex Percentile: Top 8%
Urban and Freight Transport Logistics
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