Co-modality in city logistics: Sounds good, but how?

Zhu, Shengda; Bell, M.G.; Schulz, Veronica; Stokoe, Michael

doi:10.1016/j.tra.2022.103578

Cited by 14 publications

(3 citation statements)

References 31 publications

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“…However, the selection of pick-up and drop-off bus stations for parcels needs to be carefully considered, as dedicated delivery personnel are required to collect and deliver the parcels (Azcuy et al 2021). With this idea, Cheng et al (2019) proposed a mode that combines buses and small vehicles and determined the transport status of parcels on public transportation routes; Mourad et al (2021) proposed a combination of buses and Unmanned Aerial Vehicles (UAVs) and focused on researching the end-flight path problem of UAVs; Zhu et al (2023) found ODB can be used for low volume but a very high requirement on time reliability, and cost savings can be achieved. In the ODB-SS, parcels and passengers coexist in the same space, and package delivery is carried out by bus passengers acting as crowd shippers.…”

Section: On-demand Delivery Modes With Buses Involvementmentioning

confidence: 99%

Design and Evaluation Analysis of Crowdsourced On-Demand Delivery Modes with the Substantial Involvement of Buses

Gao,

Huang,

Zheng

2024

Preprint

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With the rise of on-demand delivery, crowd shippers on third-party platforms are popular but come with higher external transportation costs and environmental impacts. To address these issues, we propose two crowdsourced delivery modes with bus involvement: "bus terminal + professional crowd shippers (B&P)" and "bus stop + crowdsourced passenger (B&C)." Both modes use buses to complete many of the delivery tasks, and fully utilize the free space at bus terminals, convenience stores around stations, automated parcel lockers, professional crowd shippers, and bus passengers to complete the entire delivery process. To assess the overall performance of these two delivery modes, we proposed a set of key performance indicators (KPIs) from four aspects: delivery cost, delivery efficiency, user experience, and external influence. Exploring the potential advantages of B&P and B&C modes based on 18349 delivery cases in downtown Ningbo, China. The results showed that the B&P and B&C modes can effectively reduce delivery cost and external influence while maintaining a comparable level of user experience and delivery efficiency as the P mode in the mid-to-long distance (3–10 km) delivery scenario. Finally, based on the above conclusions, we make some recommendations for the development planning of B&P and B&C modes.

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Section: On-demand Delivery Modes With Buses Involvementmentioning

confidence: 99%

Design and Evaluation Analysis of Crowdsourced On-Demand Delivery Modes with the Substantial Involvement of Buses

Gao,

Huang,

Zheng

2024

Preprint

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“…(1) Passenger and freight cotransportation (PFCT). Since the beginning of the present century, the integration of passenger and freight transport has been a subject of debate among scholars and authorities (Howe, 2003;Dampier and Marinov, 2015;Hu et al, 2020;Zhu et al, 2023). A concept-centric literature review presented by Cavallaro and Nocera (2022) showed that a research spike has occurred in the last several years, and China is the leading country in terms of quantity.…”

Section: Literature Reviewmentioning

confidence: 99%

Integrated optimization of train schedules and cotransportation plans for a passenger-freight metro line

Di,

Zuo,

Zhou

et al. 2024

Preprint

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Against the backdrop of developing metro-based passenger and freight cotransportation plans, this study investigates the integrated optimization problem of train schedules and flow control for a metro line shared by passenger and freight transport, in which passengers and freight share trains. Given a set of time-dependent passenger and freight demands, this problem requires determining the space--time trajectories and passenger/freight capacities for trains while also assigning the demands to these trains. By introducing the train selection variables, carriage arrangement variables and flow assignment variables, the problem of interest is formulated as an integer linear programming model for minimizing the weighted sum of the number of freight carriages, the waiting time of all passengers and the delay of all freights. The primal model has good mathematical properties, i.e., it is equivalent to a mixed-integer linear programming model, which allows the commercial solver to find the exact solution of the model more efficiently. To verify the effectiveness of the proposed method, several numerical examples with different scales are tested. The relevant results show that only by integrating the optimization of train schedules and cotransportation plans can the efficiency of the whole cotransportation system be improved to the greatest extent.

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“…Simply investing in more transportation infrastructure may not solve the issue. Thus, both industry leaders and academics are exploring alternative transportation solutions to mitigate the negative impacts IJPDLM 54,2 of city logistics, with a focus on replacing traditional delivery vehicles with more sustainable options (Zhu et al, 2023). Many cities are experiencing densification and increased urbanization, which intensifies the competition for vacant areas and infrastructure among different road-user groups.…”

Section: Introductionmentioning

confidence: 99%

Operational performance of light electric freight vehicles in the last mile: two Nordic case studies

Arvidsson,

Weir IV,

Orving

2024

IJPDLM

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PurposeTo assess the introduction and performance of light electric freight vehicles (LEFVs), more specifically cargo cycles in major 3PL organizations in at least two Nordic countries.Design/methodology/approachCase studies. Interviews. Company data on performance before as well as after the introduction. Study of differing business models as well as operational setups.FindingsThe results from the studied cases show that LEFVs can compete with conventional vans in last mile delivery operations of e-commerce parcels. We account for when this might be the case, during which circumstances and why.Research limitations/implicationsInherent limitations of the case study approach, specifically on generalization. Future research to include more public–private partnership and multi-actor approach for scalability.Practical implicationsAdding to knowledge on the public sector facilitation necessary to succeed with implementation and identifying cases in which LEFVs might offer efficiency gains over more traditional delivery vehicles.Originality/valueOne novelty is the access to detailed data from before the implementation of new vehicles and the data after the implementation. A fair comparison is made possible by the operational structure, area of delivery, number of customers, customer density, type of packages, and to some extent, the number of packages being quite similar. Additionally, we provide data showing how city hubs can allow cargo cycles to work synergistically with delivery vans. This is valuable information for organizations thinking of trying LEFVs in operations as well as municipalities/local authorities that are interested.

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Co-modality in city logistics: Sounds good, but how?

Cited by 14 publications

References 31 publications

Design and Evaluation Analysis of Crowdsourced On-Demand Delivery Modes with the Substantial Involvement of Buses

Design and Evaluation Analysis of Crowdsourced On-Demand Delivery Modes with the Substantial Involvement of Buses

Integrated optimization of train schedules and cotransportation plans for a passenger-freight metro line

Operational performance of light electric freight vehicles in the last mile: two Nordic case studies

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