Public Transport-Based Crowdshipping for Sustainable City Logistics: Assessing Economic and Environmental Impacts

Abstract

This paper aims at understanding and evaluating the environmental and economic impacts of a crowdshipping platform in urban areas. The investigation refers to the city of Rome and considers an environmental-friendly crowdshipping based on the use of the mass transit network of the city, where customers/crowdshippers pick-up/drop-off goods in automated parcel lockers located either inside the transit stations or in their surroundings. Crowdshippers are passengers that would use the transit network anyhow for other activities (e.g., home-to-work), thus avoiding additional trips. The study requires firstly, estimating the willingness to buy a crowdshipping service like the one proposed here, in order to quantify the potential demand. The estimation is realized adopting an extensive stated preference survey and discrete choice modeling. Then, several scenarios with different features of the service are proposed and evaluated up to 2025 in terms of both externalities (local and global pollutant emissions, noise emissions and accidents reductions) and revenues. The results are useful to understand and quantify the potential of this strategy for last mile B2C deliveries. Moreover, it provides local policy-makers and freight companies with a good knowledge base for the future development of a platform for public transport-based crowdshipping and for estimating the likely impact the system could have both from an economic and environmental point of view.

Service quality of the urban public transport companies and sustainable city logistics

“…Other authors emphasize the use of decision support systems and tools in solving city logistics problems because without them, it is impossible to reach an optimal solution [16][17][18]. Urbanization and e-commerce are two fast-rising trends that make city logistics solutions even more challenging [19]. E-commerce is considered one of the main challenges of today's city logistics, as it significantly affects the transport network within the agglomeration [20][21][22].…”

Logistic Modeling of the Last Mile: Case Study Santiago, Chile

“…For Gatta et al [17] the internet purchases have direct relation with the increase of vehicular traffic; the electronic commerce generates more deliveries and in consequence more cargo vans in residential areas. According to Visser et al [18], the increasing number of cargo vehicles in residential areas translates into environmental pollution problems.…”

Mapping with Stakeholders: An Overview of Public Participatory GIS and VGI in Transport Decision-Making

“…In this respect, crowdsourcing coupled with GIS data could provide good opportunity to improve the efficiency of logistics, especially in a city context, where citizens can be directly involved in the freight delivery process, i.e., via "crowdshipping" [48]. This implies deliveries via the crowd, i.e., by considering that any trip people perform to satisfy personal objectives can become a vector for shipping freight using the usually available spare load capacity [49].…”