SimMobility Freight: An agent-based urban freight simulator for evaluating logistics solutions

T Sakai, AR Alho, BK Bhavathrathan… - … Research Part E …, 2020 - Elsevier
Despite significant advances in freight transport modeling in recent years, there is still lack of
available tools for evaluating novel logistics solutions. We introduce the framework of …

A spatio-functional logistics profile clustering analysis method for metropolitan areas

A Regal, J Gonzalez-Feliu, M Rodriguez - Transportation Research Part E …, 2023 - Elsevier
This paper proposes a framework to define a zoning procedure using clustering taking into
account socio-economic, spatial and logistics intensity variables to support urban logistics …

Modelling energy consumption of electric freight vehicles in urban pickup/delivery operations: analysis and estimation on a real-world dataset

C Fiori, V Marzano - Transportation Research Part D: Transport and …, 2018 - Elsevier
Abstract Electric Freight Vehicles (EFVs) are a promising and increasingly popular
alternative to conventional trucks in urban pickup/delivery operations. A key concerned …

Machine learning for data-driven last-mile delivery optimization

SS Özarık, P da Costa, AM Florio - Transportation Science, 2024 - pubsonline.informs.org
In the context of the Amazon Last-Mile Routing Research Challenge, this paper presents a
machine-learning framework for optimizing last-mile delivery routes. Contrary to most routing …

Improving urban freight transport sustainability: Policy assessment framework and case study

HB Rai, T Van Lier, D Meers, C Macharis - Research in Transportation …, 2017 - Elsevier
Although urban freight transport (UFT) is vital for importing and exporting necessary goods
and waste, a number of negative sustainability impacts characterise the process. The …

Route and path choices of freight vehicles: A case study with floating car data

AI Croce, G Musolino, C Rindone, A Vitetta - Sustainability, 2020 - mdpi.com
According to the literature, the path choice decision process of a user of a (road) transport
network, named path choice problem (PCP), is composed of two levels/models: the …

Emerging practices and research issues for big data analytics in freight transportation

MF Gorman, JP Clarke, R de Koster, M Hewitt… - Maritime Economics & …, 2023 - Springer
Freight transportation has been experiencing a renaissance in data sources, storage, and
dissemination of data to decision makers in the last decades, resulting in new approaches to …

Footprints of goods movements: Spatial heterogeneity of heavy-duty truck activities and its influencing factors in the urban context

Z Yang, X Chen, J Deng, T Li, Q Yuan - Journal of Transport Geography, 2023 - Elsevier
Heavy-duty trucks have caused growing concern due to their negative environmental
externalities. Existing studies have not adequately examined the heterogeneity in the spatial …

Freight demand distribution in a suburban area: calibration of an acquisition model with floating car data

G Battaglia, G Musolino, A Vitetta - Journal of Advanced …, 2022 - Wiley Online Library
The paper deals with the interaction between freight flows, land use, and economy of a
suburban area. In urban freight distribution, the process of freight acquisition of commercial …

Transport efficiency of off-peak urban goods deliveries: A Stockholm pilot study

J Fu, E Jenelius - Case Studies on Transport Policy, 2018 - Elsevier
It is increasingly recognized that even cities with severe congestion during peak hours have
available road capacity during nights, evenings and early mornings. Policies that shift urban …