Publications
241 results found
Perera S, Bell MGH, Kurauchi F, et al., 2018, Consumer Surplus based Method for Quantifying and Improving the Material Flow Supply Chain Network Robustness
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
Geers G, Bell MG, 2018, A network ménage à trois: communications, smart grid and transportation
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.
Teye C, Bell MGH, Bliemer MCJ, 2017, Locating urban and regional container terminals in a competitive environment: an entropy maximising approach, Transportation Research Procedia, Vol: 23, Pages: 208-227, ISSN: 2352-1465
A flexible and policy-oriented model based on the principle of entropy maximisation is proposed for locating competitive multiuser freight facilities in general and inland multi-user intermodal container terminals (IMTs) in particular in a context where multiple users have choices which include whether or not to use the facilities. The overall problem is decomposed into a linked facility location problem (FLP) and a mode choice problem (MCP). The MCP is cast as a three-level nested probability model for determining modal and IMT demands. It was shown that for terminals with sufficiently large handling capacities, the objective function of the overall problem reduces to that of the MCP, the result is a single level mathematical program, which locates facilities to maximise shippers’ expected utility or consumer surplus. The model is suitable for urban or regional planning, but may also be used by terminal operators to estimate shipper demand for given locations. Algorithms for solving the model, principal features of the algorithms and the model are also presented.
Teye C, Bell MGH, Bliemer MCJ, 2017, Urban intermodal terminals: The entropy maximising facility location problem, Transportation Research Part B: Methodological, Vol: 100, Pages: 64-81
Bell MGH, Kurauchi F, Perera S, et al., 2017, Investigating transport network vulnerability by capacity weighted spectral analysis, Transportation Research Part B: Methodological: an international journal, Vol: 99, Pages: 251-266, ISSN: 0191-2615
ransport networks operating at or near capacity are vulnerable to disruptions, so flow bottlenecks are potent sources of vulnerability. This paper presents an efficient method for finding transport network cuts, which may constitute such bottlenecks. Methods for assessing network vulnerability found in the literature require origin-destination demands and path assignment. However, in transport network planning and design, demand information is often missing, out of date, partial or inaccurate. Capacity weighted spectral partitioning is proposed to identify potential flow bottlenecks in the network, without reference to demand information or path assignments. This method identifies the network cut with least capacity, taking into account the relative sizes of the sub-networks either side of the cut. Spectral analysis has the added advantage of tractability, even for large networks, as shown by numerical examples for a five-node illustrative example, the Sioux Falls road network and the Gifu Prefecture road network.
Teye C, Bell MGH, Bliemer MCJ, 2017, Entropy maximising facility location model for port city intermodal terminals, Transportation Research Part E: Logistics and Transportation Review, Vol: 100, Pages: 1-16
Miwa T, Bell MGH, 2017, Efficiency of routing and scheduling system for small and medium size enterprises utilizing vehicle location data, Journal of Intelligent Transportation Systems, Vol: 21, Pages: 239-250
Nikhalat-Jahromi H, Angeloudis P, Bell MGH, et al., 2017, Global LNG trade: A comprehensive up to date analysis, Maritime Economics & Logistics, Vol: 19, Pages: 160-181
Bell M, Perera S, Piraveenan M, et al., 2017, Network growth models: A behavioural basis for attachment proportional to fitness, Scientific reports, Vol: 7, Pages: 42431-42431
Shi F, Zhao S, Zhou Z, et al., 2017, Optimizing train operational plan in an urban rail corridor based on the maximum headway function, Transportation Research Part C: Emerging Technologies, Vol: 74, Pages: 51-80
Fahimnia B, Jabbarzadeh A, Ghavamifar A, et al., 2017, Supply chain design for efficient and effective blood supply in disasters, International Journal of Production Economics, Vol: 183, Pages: 700-709
Bell R, 2017, Network growth models: A behavioural basis for attachment proportional to fitness, Nature Scientific Reports, Vol: 7, Pages: 1-11
Bliemer MCJ, Raadsen MPH, Brederode LJN, et al., 2017, Genetics of traffic assignment models for strategic transport planning, Transport reviews, Vol: 37, Pages: 56-78
THORPE N, BELL M, POLAK J, 2017, 8 A Telephone Survey of Stated Travel Responses to Fuel, Transport Lessons from the Fuel Tax Protests of 2000, Pages: 161-161
Bridgelall R, Lee E, Bell M, et al., 2017, Strategic Global Logistics Management for Sourcing Road Oil in the US
Davarzani H, Fahimnia B, Bell M, et al., 2016, Greening ports and maritime logistics: A review, Transportation Research Part D: Transport and Environment, Vol: 48, Pages: 473-487
Raadsen MPH, Bliemer MCJ, Bell MGH, 2016, An efficient and exact event-based algorithm for solving simplified first order dynamic network loading problems in continuous time, Transportation Research Part B: Methodological, Vol: 92, Pages: 191-210
Nikhalat-Jahromi H, Bell MGH, Fontes DBMM, et al., 2016, Spot sale of uncommitted LNG from Middle East: Japan or the UK?, Energy Policy, Vol: 96, Pages: 717-725
Angeloudis P, Greco L, Bell MGH, 2016, Strategic maritime container service design in oligopolistic markets, Transportation Research Part B: Methodological: an international journal, Vol: 90, Pages: 22-37, ISSN: 0191-2615
This paper considers the maritime container assignment problem in a market setting with two competing firms. Given a series of known, exogenous demands for service between pairs of ports, each company is free to design liner services connecting a subset of the ports and demand, subject to the size of their fleets and the potential for profit. The model is designed as a three-stage complete information game: in the first stage, the firms simultaneously invest in their fleet; in the second stage, they individually design their services and solve the route assignment problem with respect to the transport demand they expect to serve, given the fleet determined in the first stage; in the final stage, the firms compete in terms of freight rates on each origin–destination movement. The game is solved by backward induction. Numerical solutions are provided to characterize the equilibria of the game.
Anvari B, Bell MGH, Angeloudis P, et al., 2016, Calibration and validation of a shared space model: case study, Transportation Research Record, Vol: 2588, Pages: 43-52
Zis T, Angeloudis P, Bell MGH, et al., 2016, Payback period for emissions abatement alternatives: Role of regulation and fuel prices, Transportation Research Record, Vol: 2549, Pages: 37-44
Kaparias I, Hirani J, Bell MGH, et al., 2016, Pedestrian gap acceptance behavior in street designs with elements of shared space, Transportation research record, Vol: 2586, Pages: 17-27
Bell MGH, Meng Q, others, 2016, Special issue in Transportation Research Part B–Shipping, port and maritime logistics, Transportation Research Part B: Methodological, Vol: 93, Pages: 697-699
Zhou B, Bliemer MCJ, Bell MGH, et al., 2016, Two new methods for solving the path-based stochastic user equilibrium problem, Computer-Aided Civil and Infrastructure Engineering, Vol: 31, Pages: 100-116
Teye C, Bell M, 2016, Dynamic discrete berth allocation in container terminals under four performance measures
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