SimMobility Freight: An agent-based urban freight simulator for evaluating logistics solutions

Sakai, Takanori; Alho, André Romano; Bhavathrathan, B.K.; Chiara, Giacomo Dalla; Gopalakrishnan, Raja; Jing, Peiyu; Hyodo, Takeo; Cheah, Lynette; Ben‐Akiva, Moshe

doi:10.1016/j.tre.2020.102017

Cited by 54 publications

(21 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…A new generation of multiagent tools for evaluation of network impacts, simulates the behavior of individual firms (12)(13)(14). Some models are shipment based (6,(15)(16)(17)(18)(19)(20). In a different line of literature, specific segments or concepts are simulated with dynamic agent-based models (18,21,22).…”

Section: Disaggregate Model For Urban Freight Simulationmentioning

confidence: 99%

“…To support the decision-making process, it is relevant to be able to analyze different scenarios for the boundaries of the zone, supporting measures on the impacts and demand for new last-mile solutions. However, in spite of the importance of urban freight transportation, and its growing importance in the use of urban infrastructure, tools for strategic decision-making, with comprehensive scope and sufficient behavioral detail to be used for urban freight transportation policies, are missing because of a lack of empirical data and resources (4)(5)(6).…”

mentioning

confidence: 99%

See 1 more Smart Citation

Simulation of the Impacts of a Zero-Emission Zone on Freight Delivery Patterns in Rotterdam

Bok

Tavasszy

Kourounioti

et al. 2021

Transportation Research Record

View full text Add to dashboard Cite

As part of a broader vision for emission-free city logistics, the city of Rotterdam plans to introduce a zero-emission zone in combination with urban consolidation centers (UCCs) on the outskirts of the city to generate a shift to zero-emission vehicles. For the design of this zero-emission zone, several research questions arise that require a systematic analysis of the impacts of the transition scenarios on freight demand patterns, the use and market shares of new (zero-emission) vehicles, and the impacts of truck flow and emissions. As a case study, we implemented heterogenous transition scenarios for each logistic segment into the Tactical Freight Simulator from the HARMONY project and analyzed the systemwide impacts. This model is multiagent, empirical, and shipment based and simulates long-term tactical choices (distribution channel choice, shipment size and vehicle type choice, sourcing) and short-term tactical choices (tour formation, delivery times). Results showed that the impact of UCCs is not trivial: we observed a small increase in vehicle kilometers traveled overall of +0.25%, which can be attributed to the rerouting of shipments through the UCCs. Calculations confirmed that emissions reduced dramatically, by 90%, inside the zero-emission zone. At the city scale this corresponds to a reduction of almost 10%, as most freight-related traffic is generated by the port and involves long-haul heavy goods vehicle transport that does not enter the city center. At a regional level, impact reduction was very small. More measures are needed if more ambitious reductions in emissions are to be achieved.

show abstract

Section: Disaggregate Model For Urban Freight Simulationmentioning

confidence: 99%

mentioning

confidence: 99%

Simulation of the Impacts of a Zero-Emission Zone on Freight Delivery Patterns in Rotterdam

Bok

Tavasszy

Kourounioti

et al. 2021

Transportation Research Record

View full text Add to dashboard Cite

show abstract

“…SimMobility Freight [13] as displayed in Figure 2, is a component of SimMobility, which covers the simulations of commodity flows, overnight parking subscription decisions, logistics planning, and driver-level behaviors. Commodity contracts and shipments influence "pre-day" logistics planning such as carrier selection and vehicle operation planning.…”

Section: Simmobility Overviewmentioning

confidence: 99%

“…This allows us to evaluate traffic impacts of various parking supply scenarios, specifically, the extent of inefficiency introduced in vehicle tours due to overnight parking choice, such as the empty trips from overnight parking locations to pick-up and delivery points. In this paper, we detail such a case study for the island-state of Singapore, leveraging an existing agent-based urban freight simulator-SimMobility [12,13]-inclusive of its land-use models, to analyze traffic impacts associated with different overnight parking supply scenarios.…”

Section: Introductionmentioning

confidence: 99%

Assessing Overnight Parking Infrastructure Policies for Commercial Vehicles in Cities Using Agent-Based Simulation

et al. 2020

Self Cite

View full text Add to dashboard Cite

Urban freight transport is primarily fulfilled by commercial road vehicles. Within cities, overnight parking is a critical element influencing commercial vehicle operations, particularly for heavy vehicles with limited parking options. Providing adequate overnight parking spaces for commercial vehicles tends to be a challenge for urban planners. Inadequate parking supply can result in illegal parking and additional vehicle kilometers traveled, contributing to traffic congestion and air pollution. The lack of tools for evaluating the impacts of changing parking supply is an impediment in developing parking-related solutions that aim to minimize the negative externalities. In this study, we develop an overnight parking choice model for heavy commercial vehicles and integrate it with SimMobility, an agent-based urban simulation platform, demonstrating the potential of this tool for policy evaluation. Using simulations applied to a case study in Singapore, we compare two parking supply scenarios in terms of vehicle kilometers traveled due to changes in the first and last trips of vehicle tours, as well as resulting impacts in traffic flows.

show abstract

“…The traditional approach to simulate this type of problems has been based on the adaptation of static models [14]. However, advances in computing capacity and developments in the ICT field, such as the Global Positioning System (GPS) or the Geographic Information System (GIS), have encouraged research into UFD in dynamic decisionmaking environments [15]- [17].…”

Section: Introductionmentioning

confidence: 99%

Microsimulation-Based Collaboration Model for Urban Freight Transport

et al. 2020

View full text Add to dashboard Cite

The different stakeholders involved in urban freight distribution, their behaviours, and interactions are attracting the attention of researchers and practitioners in logistics and freight transport, pushed by the need to develop methods and models for assessing ex ante actions/measures to improve the logistics process performance. Besides, the large amounts of data currently available open up new opportunities, as well as the possibility of using them to review past operations and provide suggestions and guidelines for future decision-making. In this context, to improve city sustainability and liveability, the cooperation and coordination among transport and logistics operators have been some of the measures for optimizing freight operations, with a subsequent reduction in vehicles and traffic impacts. Therefore, opportunities arise to point out the stakeholders' decentralised collaboration and the dynamic information driving urban logistics operations. In this context, this paper presents a microsimulation model framework to support the operational decision-making of an urban supply chain that makes the most of such cooperation and coordination and appropriately responds to the dynamic changes of demand and supply. The model was first tested using data collected in the urban area of Medellin, Colombia and we obtained satisfactory results that show the benefits of implementing such modelling framework to support decision making policies.

show abstract

SimMobility Freight: An agent-based urban freight simulator for evaluating logistics solutions

Cited by 54 publications

References 27 publications

Simulation of the Impacts of a Zero-Emission Zone on Freight Delivery Patterns in Rotterdam

Simulation of the Impacts of a Zero-Emission Zone on Freight Delivery Patterns in Rotterdam

Assessing Overnight Parking Infrastructure Policies for Commercial Vehicles in Cities Using Agent-Based Simulation

Microsimulation-Based Collaboration Model for Urban Freight Transport

Contact Info

Product

Resources

About