233 results found
Chow AHF, Kuo Y-H, Angeloudis P, et al., 2022, Dynamic modelling and optimisation of transportation systems in the connected era, TRANSPORTMETRICA B-TRANSPORT DYNAMICS, Vol: 10, Pages: 801-802, ISSN: 2168-0566
Zhu S, Fu X, Bell MGH, 2021, Container shipping line port choice patterns in East Asia the effects of port affiliation and spatial dependence, TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, Vol: 156, ISSN: 1366-5545
Cheung K-F, Bell MGH, 2021, Improving connectivity of compromised digital networks via algebraic connectivity maximisation, EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, Vol: 294, Pages: 353-364, ISSN: 0377-2217
Li J, Ensafian H, Bell MGH, et al., 2021, Deploying autonomous mobile lockers in a two-echelon parcel operation, TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, Vol: 128, ISSN: 0968-090X
Cheung K-F, Bell MGH, 2021, Attacker-defender model against quantal response adversaries for cyber security in logistics management: An introductory study, EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, Vol: 291, Pages: 471-481, ISSN: 0377-2217
Cheung K-F, Bell MGH, Bhattacharjya J, 2021, Cybersecurity in logistics and supply chain management: An overview and future research directions, TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, Vol: 146, ISSN: 1366-5545
Pan J, Bell MGH, Cheung K-F, et al., 2020, Identifying container shipping network bottlenecks along China's Maritime Silk Road based on a spectral analysis, MARITIME POLICY & MANAGEMENT, Vol: 48, Pages: 1138-1150, ISSN: 0308-8839
Ando H, Bell M, Kurauchi F, et al., 2020, Connectivity evaluation of large road network by capacity-weighted eigenvector centrality analysis, TRANSPORTMETRICA A-TRANSPORT SCIENCE, Vol: 17, Pages: 648-674, ISSN: 2324-9935
Raadsen MPH, Bliemer MCJ, Bell MGH, 2020, Aggregation, disaggregation and decomposition methods in traffic assignment: historical perspectives and new trends, TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, Vol: 139, Pages: 199-223, ISSN: 0191-2615
Cheung K-F, Bell MGH, Pan J-J, et al., 2020, An eigenvector centrality analysis of world container shipping network connectivity, TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, Vol: 140, ISSN: 1366-5545
Bell MGH, Pan J-J, Teye C, et al., 2020, An entropy maximizing approach to the ferry network design problem, Transportation Research Part B: Methodological: an international journal, Vol: 132, Pages: 15-28, ISSN: 0191-2615
This paper proposes a novel method to address the ferry network design problem (FNDP). Ferry transport is an increasingly important component of public transport, providing mobility for people in large cities with harbours or rivers. It is therefore important that ferry networks are well designed. The connections between ferry stations and the locations of hubs that are optimal for passengers are revealed by the maximum passenger utility spanning tree connecting all ferry stations. This paper harnesses the equivalence between entropy maximisation and utility maximisation to find the maximum passenger utility spanning tree which connects all ferry stations. A small example with five ferry stations illustrates how the spanning tree topology responds to the pattern of passenger demand. Two heuristics for solving the problem are compared for the Sydney Harbour ferry network with 36 ferry stations. One heuristic reveals the most important connections between ferry stations from a passenger perspective. The use of maximum passenger utility spanning trees for ferry network design is discussed.
Bliemer MCJ, Waller ST, Bell MGH, et al., 2019, Special issue on dynamic traffic assignment for general transport networks, TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, Vol: 126, Pages: 307-308, ISSN: 0191-2615
Pan J-J, Bell MGH, Cheung K-F, et al., 2019, Connectivity analysis of the global shipping network by eigenvalue decomposition, MARITIME POLICY & MANAGEMENT, Vol: 46, Pages: 957-966, ISSN: 0308-8839
Liu Z, Miwa T, Zeng W, et al., 2019, Dynamic shared autonomous taxi system considering on-time arrival reliability, Transportation Research Part C: Emerging Technologies, Vol: 103, Pages: 281-297
Achurra-Gonzalez PE, Novati M, Foulser-Piggott R, et al., 2019, Modelling the impact of liner shipping network perturbations on container cargo routing: Southeast Asia to Europe application, Accident Analysis & Prevention, Vol: 123, Pages: 399-410
Understanding how container routing stands to be impacted by different scenarios of liner shipping network perturbations such as natural disasters or new major infrastructure developments is of key importance for decision-making in the liner shipping industry. The variety of actors and processes within modern supply chains and the complexity of their relationships have previously led to the development of simulation-based models, whose application has been largely compromised by their dependency on extensive and often confidential sets of data. This study proposes the application of optimisation techniques less dependent on complex data sets in order to develop a quantitative framework to assess the impacts of disruptive events on liner shipping networks. We provide a categorization of liner network perturbations, differentiating between systemic and external and formulate a container assignment model that minimises routing costs extending previous implementations to allow feasible solutions when routing capacity is reduced below transport demand. We develop a base case network for the Southeast Asia to Europe liner shipping trade and review of accidents related to port disruptions for two scenarios of seismic and political conflict hazards. Numerical results identify alternative routing paths and costs in the aftermath of port disruptions scenarios and suggest higher vulnerability of intra-regional connectivity.
Perera S, Bell MGH, Kurauchi F, et al., 2019, Absorbing Markov Chain Approach to Modelling Disruptions in Supply Chain Networks, Moratuwa Engineering Research Conference (MERCon) / 5th International Multidisciplinary Engineering Research Conference, Publisher: IEEE, Pages: 515-520
Hedderich M, Fastenrath U, Cao Z, et al., 2019, An Integrated Approach for a Universal Routing Algorithm, IEEE Intelligent Transportation Systems Conference (IEEE-ITSC), Publisher: IEEE, Pages: 3088-3093, ISSN: 2153-0009
Perera SS, Bell MGH, Latty T, 2019, Disassortativity in Biological and Supply Chain Networks
Raadsen MPH, Bliemer MCJ, Bell MGH, 2019, A review of (dis) aggregation and decomposition methods in traffic assignment
Zavitsas K, Zis T, Bell MGH, 2018, The impact of flexible environmental policy on maritime supply chain resilience, Transport Policy, Vol: 72, Pages: 116-128, ISSN: 0967-070X
As policy makers acknowledge the high degree of supply chain vulnerability and the impact of maritime emissions on coastal population health, there has been a consistent effort to strengthen maritime security and environmental regulations. In recent years, overdependence on deeper and wider multinational supply and production chains and lean-optimization has led to tightly integrated systems with little “slack” and high sensitivity to disruptions.This study considers the impact of Emission Control Areas and establishes a link between environmental and network resilience performance for maritime supply chains using operational cost andemissions cost metrics. The proposed methodological framework analyzes various abatement options, disruption intensities, fuel pricing instances and regulatory strategies. The methodology utilizes a minimum cost flow assignment and an arc velocity optimization model for vessel speed to establish the payoff for various network states. Additionally, an attacker defender game is set up to identify optimal regulatory strategies under various disruption scenarios. The results are complemented by a sensitivity analysis on emissions pricing, to better equip policy makers to manage environmental and resilience legislation. The methodology and findings provide a comprehensive analytic approach to optimize maritime supply chain performance beyond minimisation of operational costs, to also minimize exposure to costly supply chain disruptions.
Teye C, Bell MGH, Bliemer MCJ, 2018, Locating urban and regional container terminals in a competitive environment: An entropy maximising approach, 22nd International Symposium on Transportation and Traffic Theory (ISTTT), Publisher: PERGAMON-ELSEVIER SCIENCE LTD, Pages: 971-985, ISSN: 0191-2615
Perera SS, Bell MGH, Piraveenan M, et al., 2018, Topological structure of manufacturing industry supply chain networks, Complexity, Vol: 2018
Liu Z, Miwa T, Zeng W, et al., 2018, Shared Autonomous Taxi System and Utilization of Collected Travel-Time Information, Journal of Advanced Transportation, Vol: 2018
Geers G, Bell MG, 2018, A network ménage à trois: communications, smart grid and transportation
Lam JSL, Lun YHV, Bell MGH, 2018, Risk management in port and maritime logistics, Publisher: Pergamon
Perera S, Bell M, Bliemer M, 2018, Network Science approach to Modelling Emergence and Topological Robustness of Supply Networks: A Review and Perspective, arXiv preprint arXiv:1803.09913
Perera S, Bell MGH, Kurauchi F, et al., 2018, Consumer Surplus based Method for Quantifying and Improving the Material Flow Supply Chain Network Robustness
Paflioti P, Vitsounis TK, Teye C, et al., 2017, Box dynamics: A sectoral approach to analyse containerized port throughput interdependencies, Transportation Research Part A: Policy and Practice, Vol: 106, Pages: 396-413
Perera S, Bell MGH, Bliemer MCJ, 2017, Network science approach to modelling the topology and robustness of supply chain networks: a review and perspective, Applied Network Science, Vol: 2, Pages: 1-25, ISSN: 2364-8228
Due to the increasingly complex and interconnected nature of global supply chain networks (SCNs), a recent strand of research has applied network science methods to model SCN growth and subsequently analyse various topological features, such as robustness. This paper provides: (1) a comprehensive review of the methodologies adopted in literature for modelling the topology and robustness of SCNs; (2) a summary of topological features of the real world SCNs, as reported in various data driven studies; and (3) a discussion on the limitations of existing network growth models to realistically represent the observed topological characteristics of SCNs. Finally, a novel perspective is proposed to mimic the SCN topologies reported in empirical studies, through fitness based generative network models.
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