New Opportunities and Challenges for City Logistics

TLDR

The information revolution and widespread vehicle‑movement data collection are creating opportunities and challenges for sustainable urban freight, while e‑commerce growth and new pricing schemes increase social and environmental costs. The study aims to develop and apply big‑data and decision‑support tools to better understand and mitigate logistics sprawl in city freight systems. The authors employ big‑data analytics and decision‑support systems to design and evaluate city logistics schemes. The paper presents developments in alternative‑fuel vehicles and advanced manufacturing systems that could improve city logistics.

Abstract

The information revolution is creating both opportunities and challenges for improving the sustainability of urban freight systems. A range of vehicle movement data can now be automatically collected from low cost sensors that are able to assist in improving understanding distribution systems and increasing their efficiency. Vehicle monitoring technologies that have the potential to charge both passenger and goods vehicles for using the road system, allow a new array of pricing schemes to be introduced. However, E-commerce (B2C) is creating a surge in home deliveries that is increasing the social and environmental costs of goods distribution systems. This paper describes some applications of big data systems and decision support systems that can be used to enhance the design and evaluation city logistics schemes. The need to develop improved tools for understanding logistics sprawl and reducing its effects are described. Developments in alternative fuel vehicles and advanced manufacturing systems are also presented.