Research finds that the global market value of cargo bikes will hit 2.4 billion euros by 2031. Analysts with Future Market Insights assessing the growth of cargo bikes have placed the parcel courier industry as a key buyer of electric cargo bikes, forecasting that 43 per cent of sales could go to this industry. This growth is driven by city logistics trends, particularly as studies emerge showing the high efficiency and cost saving of the cargo bike versus the delivery van. It will not solely be direct incentives that drive uptake, however. The policy that restricts motoring and emissions is expected to be a key driver for businesses that seek profitability, with three-wheeled electric cargo bikes making up nearly half the market. The advance of e-bike technology has seen a strong rise in market share for assisted cargo bikes, now accounting for a 73 per cent market share. Potentially limiting the growth is the legislation governing the output and range of electric cargo bikes (FMI, 2021).To deal with the issues of faster delivery, clean delivery (low/zero emission) and less space in dense cities, the light electric freight vehicle (LEFV) can be–and is used more and more as–an innovative solution. The way logistics in urban areas is organized is being challenged, as the global growth of cities leads to more jobs, more businesses and more residents. As a result, companies, workers, residents and visitors demand more goods and produce more waste. More space for logistics activities in and around cities is at odds with the growing need for accommodation for people living and working in cities. Book: Innovations in Transport: Success, Failure and Societal Impacts
This paper presents challenges in city logistics for circular supply chains of e-e-waste. Efficient e-waste management is one of the strategies to save materials, critical minerals, and precious metals. E-waste collection and recycling have gained attention recently due to lower collection and recycling rates. However, implementing circular urban supply chains is a significant economic transformation that can only work if coordination decisions are solved between the actors involved. On the one hand, this requires the implementation of efficient urban collection technologies, where waste collection companies collaborate with manufacturers, urban waste treatment specialists, and city logistics service providers supported by digital solutions for visibility and planning. On the other hand, it also requires implementing urban and regional ecosystems connected by innovative CO2-neutral circular city logistics systems. These systems must smoothly and sustainably manage the urban and regional flow of resources and data, often at a large scale and with interfaces between industrial processes, private, and public actors. This paper presents future research questions from a city logistics perspective based on a European project aimed at developing a blueprint for systemic solutions for the circularity of plastics from applications of rigid PU foams used as insulation material in refrigerators.
MULTIFILE
Efficiency of city logistics activities suffers due to conflicting personal preferences and distributed decision making by multiple city logistics stakeholders. This is exacerbated by interdependency of city logistics activities, decision making with limited information and stakeholders’ preference for personal objectives over system efficiency. Accordingly, the key to understanding the causes of inefficiency in the city logistics domain is understanding the interaction between heterogeneous stakeholders of the system. With the capabilities of representing a system in a natural and flexible way, agent based modelling (ABM) is a promising alternative for the city logistics domain. This research focuses on developing a framework for the successful implementation of the ABM approach for the city logistics domain. The framework includes various elements – a multi-perspective semantic data model (i.e. ontology) and its validation, the development of an agent base model using this ontology, and a validation approach for the agent-based model. Conclusively, the framework shows that a rigorous course can be taken to successfully implement agent based modelling approach for the city logistics domain.
