Quantifying Hidden Carbon Emissions Induced from Curbside Capacity Loss in Urban Freight Operations

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Authors: Angel Gil Gallego, María Pilar Lambán, Jesús Antonio Royo, Juan Carlos Sanchez Catalán, Paula Morella Avinzano
Cited by: 1

Abstract

Urban curbside loading and unloading zones are increasingly affected by competing non logistics uses, such as outdoor terraces or resident parking, leading to reductions in effective curbside length. These design decisions can significantly alter service capacity and generate environmental externalities in urban freight operations that are rarely quantified. This study introduces the Factor of Occupancy (Fo) as a space–time design indicator for curbside unloading zones, defined as the product of effective curbside length and the maximum authorised dwell time. Using direct observational data from an urban block in Zaragoza (Spain), the analysis focuses on a loading and unloading zone whose effective length was reduced by approximately 6 m due to the installation of a restaurant terrace. Two curbside configurations are compared: a reduced configuration (8 m) and a restored configuration (14 m), keeping demand and temporal constraints constant. Fo is integrated into a loss based queueing model (M/M/1/1) to estimate blocking probabilities and the number of served and rejected freight operations. To capture the environmental implications of curbside capacity loss, the paper proposes the Hidden Carbon Emissions (HCE) indicator, which quantifies the additional CO₂ emissions generated by rejected vehicles through block recirculation and idling during illegal occupancy, based on observed behaviour and publicly available emission factors. Results show that restoring curbside length substantially increases effective service capacity and reduces rejected vehicles, leading to a marked decrease in hidden CO₂ emissions per operation. The findings highlight that minor curbside design decisions can produce measurable impacts on both urban freight efficiency and environmental performance.

Fields of Study & Subjects

Urban and Freight Transport Logistics Maritime Ports and Logistics Vehicle Routing Optimization Methods

Publication details

Journal / source
Preprints.org
Publisher
MDPI AG
Publication date
13 January 2026
Document type
Preprint