Models for Evaluating and Planning City Logistics Systems

Crainic, Teodor Gabriel; Ricciardi, Nicoletta; Storchi, Giovanni

doi:10.1287/trsc.1090.0279

Cited by 460 publications

(261 citation statements)

References 47 publications

Supporting

Mentioning

230

Contrasting

Unclassified

Order By: Relevance

“… The environmental dimension aims to capture the negative impact of transportation. Studies reflecting the high contribution of freight transportation, within defined urban systems, have already been reported, with subsequent implementation of policies and outcomes, in relation to expected goals (Patier, 2002;OECD, 2003;Figliozzi, 2007;Comi, Delle Site, Filippi, Marcucci and Nuzzolo, 2008;Sonntag and Meimbresse, 2008;Stathopoulos et al, 2011).…”

Section: Institutional Design Criteria Identificationmentioning

confidence: 99%

“…Different approaches to modelling 'last-mile' systems have been reported and reviewed in the literature (Van Duin, 1997;Button and Hensher, 2000;Macharis, De Witte andAmpe, 2009, Crainic, Ricciardi andStorchi, 2009;Muñuzuri, Cortés, Onieva, and Guadix, 2009;Anand, Yang, van Duin, and Tavasszy, 2012;Greasley and Assi, 2012;Lindholm, 2012;Österle et al, 2015). Design criteria have also been previously utilised, in selected cases, within an urban system context (City Ports 2005;Muñuzuri, Larraneta, Onieva, Cortés, 2005;Van Duin and Quak, 2007;BESTUFS 2007;Russo and Comi, 2011).…”

Section: Design Criteria -A Multi-stakeholder Perspectivementioning

confidence: 99%

See 1 more Smart Citation

Identifying design criteria for urban system ‘last-mile’ solutions – a multi-stakeholder perspective

Harrington

Srai

Kumar

et al. 2016

Production Planning & Control

View full text Add to dashboard Cite

This study presents a novel approach to designing and evaluating 'last-mile' solutionsencompassing the social and economic perspectives of key stakeholders. While urban system initiatives have been implemented in practice, theoretical gaps remain at the operational design level. A theoretical framework is developed, based on design criteria identified from a critical synthesis of supply chain and operations management literature, and 'operationalised' using an in-depth case study demonstrating implementation of a Consumer Choice Portal-Package Consolidation Centre solution, within a densely populated urban geography.Findings suggest that there is a need to re-define the role of institutional actors beyond that of the traditional governance task, to one of being able to facilitate performance outcomes. Similarly, industrial efficiency dimensions need to be re-orientated to include consumer participation, social considerations and multi-stakeholder service outcomes. Finally, implications for operations theory and practising managers in city logistics are highlighted, with suggested directions for future research.

show abstract

Section: Institutional Design Criteria Identificationmentioning

confidence: 99%

Section: Design Criteria -A Multi-stakeholder Perspectivementioning

confidence: 99%

Identifying design criteria for urban system ‘last-mile’ solutions – a multi-stakeholder perspective

Harrington

Srai

Kumar

et al. 2016

Production Planning & Control

View full text Add to dashboard Cite

show abstract

“… Cargo transport in urban areas, specifically the freight flows associated with the supply of commodities to city centers (Barceló & Pardo, 2005);  Routing and transferring the commodities throughout all the transportation modes as well as subordinate activities such as storage and information exchange in order for managing the commodities at each end of the trips (Qiu & Yang., 2005);  Attempting to optimize the urban freight transportation systems while considering all the beneficiaries and displacements in urban areas (Crainic et al, 2009);…”

Section: Literature Reviewmentioning

confidence: 99%

Designing sustainable city logistics distribution network using a probabilistic bi-objective mathematical model

Saeedi¹,

Teimoury²,

Makui³

2018

10.5267/j.uscm

View full text Add to dashboard Cite

Today, urban areas have been considerably expanded, which has caused numerous problems due to the large population in metropolitan areas. City logistics models can be effective in solving complicated problems such as traffic congestion, air pollution, accidents, and high energy consumption rate. The present paper proposes a bi-objective mathematical model for designing a city logistics distribution network in order to minimize the economic and environmental costs as well as the response time. The proposed model would make decisions on the location and allocation problems in the city logistics distribution network. In fact, the objective of the problem is to select some fixed sites in order to construct the city distribution centers. The demand for commodities is considered probabilistic and the network is modeled based on the queuing theory. Furthermore, in the proposed model, the policy of putting tax on carbon and applying the low-carbon emission resources are used for establishment at the city distribution centers. Afterwards, in order to validate the proposed model, a numerical example is generated and, then, the results obtained from solving the model via epsilon constraint method are presented. Analysis of the results in the present study indicates that the proposed model was highly efficient in achieving its objectives. Finally, there are some suggestions for future studies that can be taken into account.nce, Canada ensee Growing Scie

show abstract

“…Strategic and tactical decisions need to be taken which generally pertain to (large-scale) distribution system design which may include: i) the location of hubs or warehouses; ii) the assignment of customers or districts to hubs; and iii) the amounts of flow at an aggregate level between the various points in the network, giving way to problems such as hub, depot or facility location (34) or network design (35). Particularly relevant to the design of multi-drop freight distribution networks in urban areas are the single and two-echelon distribution structures that have been suggested for city logistics applications (36,37). The logic behind these is to prevent large freight vehicles entering busy urban areas by consolidating goods into smaller shipments at the boundaries from where deliveries into the city centre can be done using smaller and more environmentally-friendly modes of transportation.…”

Section: Strategic and Tactical Decision-making Challengesmentioning

confidence: 99%

Enabling a Freight Traffic Controller for Collaborative Multidrop Urban Logistics

Allen

Bektaş

Cherrett

et al. 2017

Transportation Research Record

View full text Add to dashboard Cite

There is increasing interest into how horizontal collaboration between parcel carriers might help alleviate problems associated with last-mile logistics in congested urban centres. Through a detailed examination of parcel logistics literature pertaining to collaboration, along with practical insights from carriers operating in the UK, this paper examines the challenges that will be faced in optimising multi-carrier, multi-drop collection and delivery schedules. We propose the concept of the 'Freight Traffic Controller' (FTC) who would be a trusted third-party, assigned to equitably manage the work allocation between collaborating carriers and the passage of vehicles over the last mile where joint benefits to the parties were achievable. Creating this FTC requires a combinatorial optimisation approach to evaluate the many combinations of hub locations, network configuration and vehicle/walking routing options in order to find the true value of each potential collaboration, whilst at the same time, considering the traffic, social and environmental impacts of these activities. Cooperative game theory is a way to investigate the formation of collaborations (or coalitions) and our analysis identifies a significant shortfall in current applications of this theory to last-mile parcel logistics. Specifically, we identify that application of theory to urban freight logistics has, thus far, failed to account for critical concerns including: i) the mismatch of vehicle parking locations relative to actual delivery addresses; ii) the combination of deliveries with collections, the latter often being received in real-time during the round; and iii) the variability in travel times and route options due to traffic and road network conditions. Allen, Bektas, Cherrett, Friday, McLeod, Piecyk, Piotrowska, Zaltz Austwick 3 INTRODUCTIONThe parcel distribution sector is a crowded and highly competitive marketplace characterised by low profit margins and a proliferation of operators, with carriers typically operating independently from each other, leading to poor vehicle utilisation rates and delivery rounds that overlap (1). With this duplication of effort, as 'everyone delivers everywhere', and the need to reduce CO 2 in urban centres, driven by EU legislation (2), there is a need to fundamentally reinvestigate the efficiency of 'customer-focused' last-mile city logistics operations. We make three contributions in this paper: firstly, we offer a detailed examination of the literature pertaining to collaboration in last-mile parcel logistics; secondly, using our survey along with practical insights from two carrier operations in the UK, we identify key challenges that will be faced in attempting to best optimise multi-carrier, multi-drop collection and delivery schedules whilst maintaining an equitable distribution of work between the parties in the collaboration; finally, we highlight the significant gap between current theory and practice in this regard and introduce the concept of the Freight Traffic Controller as a ...

show abstract

Models for Evaluating and Planning City Logistics Systems

Cited by 460 publications

References 47 publications

Identifying design criteria for urban system ‘last-mile’ solutions – a multi-stakeholder perspective

Identifying design criteria for urban system ‘last-mile’ solutions – a multi-stakeholder perspective

Designing sustainable city logistics distribution network using a probabilistic bi-objective mathematical model

Enabling a Freight Traffic Controller for Collaborative Multidrop Urban Logistics

Contact Info

Product

Resources

About