Assessing robustness and identifying critical infrastructure in synchromodal transport network

A synchromodal transport network is a transportation technique which aims to create more efficient and sustainable transportation plans, which utilizes different modes of transport, i.e., roadways, railways, and waterways synchronously. Synchromodal transport network is a complex network with interdependence. The aim of this thesis was to analyze the robustness and identify critical infrastructure in synchromodal transport network. In order to achieve the goal of the thesis. First, the synchromodal transport network is analyzed on the basis of its transportation characteristics and network topology. The analysis of transportation characteristics helped us to define a notion of node criticality. The node criticality quantifies the effect on the robustness of a transportation system due to the perturbation of an infrastructure. Then, a relationship is established between the node criticality and topological centrality metrics in order to quickly identify critical infrastructures in the synchromodal transport network. Lastly, a systematic framework is proposed and applied to the Dutch synchromodal transport network. The results from the case study are quite insightful. First, we observe that the distribution of node criticality exhibits a power-law distribution which implies that the Dutch synchromodal transport network tends to robustness against node perturbation. Second, we observe that the performance of the dutch synchromodal transport network is quite sensitive to the perturbation in the road network. Lastly, we identify that the weighted degree centrality, eigenvector centrality shows a high correlation with node criticality thus these centrality metrics can be used to identify critical infrastructure in the synchromodal transport network.

[1]  D. McFadden.  Conditional logit analysis of qualitative choice behavior , 1972 .

[2]  Huijun Sun,et al.  Combined Model for Flow Assignment and Mode Split in Two-modes Traffic Network , 2008 .

[3]  Robert Boute,et al.  Investigating synchromodality from a supply chain perspective , 2017, Transportation Research Part D: Transport and Environment.

[4]  Mark E. J. Newman.  A measure of betweenness centrality based on random walks , 2005, Soc. Networks.

[5]  Lida Margarita María Durán Bernal.  Basic Parameters for the Design of Intermodal Public Transport Infrastructures , 2016 .

[6]  David Ward,et al.  European Reference Network for Critical Infrastructure Protection , 2013, Int. J. Crit. Infrastructure Prot..

[7]  Theo Notteboom,et al.  A strategic network choice model for global container flows: specification, estimation and application , 2011 .

[8]  Matthew Ian Burke,et al.  Clothing the Emperor?: Transport modelling and decision-making in Australian cities , 2007 .

[9]  V. Venhorst.  Smart move? : the spatial mobility of higher education graduates , 2012 .

[10]  Rudy R. Negenborn,et al.  Towards Quality-aware Control of Perishable Goods in Synchromodal Transport Networks , 2016 .

[11]  S. Borgatti,et al.  The centrality of groups and classes , 1999 .

[12]  Wirdmer van Dam.  Robustness Analysis of the Dutch Synchromodal Freight Transport Network: Simulating Disruptions on a Macroscopic Graph Model , 2017 .

[13]  Stephen H. Putman.  Integrated Urban Models Volume 2: New Research and Applications of Optimization and Dynamics (Routledge Revivals) , 2014 .

[14]  A. B. M. Nasiruzzaman,et al.  Application of centrality measures of complex network framework in power grid , 2011, IECON 2011 - 37th Annual Conference of the IEEE Industrial Electronics Society.

[15]  Ren Moses,et al.  Calibration and Evaluation of Link Congestion Functions: Applying Intrinsic Sensitivity of Link Speed as a Practical Consideration to Heterogeneous Facility Types within Urban Network , 2014 .

[16]  R. Kooij,et al.  A Framework for Computing Topological Network Robustness , 2010 .

[17]  Ming Zhang,et al.  Synchromodal hinterland freight transport: Model study for the port of Rotterdam , 2016 .

[18]  M. Zelen,et al.  Rethinking centrality: Methods and examples☆ , 1989 .

[19]  Henry X. Liu,et al.  Method of Successive Weighted Averages (MSWA) and Self-Regulated Averaging Schemes for Solving Stochastic User Equilibrium Problem , 2009 .

[20]  Vittorio Rosato,et al.  Modelling interdependent infrastructures using interacting dynamical models , 2008, Int. J. Crit. Infrastructures.

[21]  M. Florian,et al.  A combined trip distribution modal split and trip assignment model , 1978 .

[22]  J. Wardrop.  ROAD PAPER. SOME THEORETICAL ASPECTS OF ROAD TRAFFIC RESEARCH. , 1952 .

[23]  Chuanwen Dong.  A supply chain perspective of synchromodality to increase the sustainability of freight transportation , 2018, 4OR.

[24]  Terry L. Friesz,et al.  Dynamic Network Traffic Assignment Considered as a Continuous Time Optimal Control Problem , 1989, Oper. Res..

[25]  P Van Mieghem,et al.  Pseudoinverse of the Laplacian and best spreader node in a network. , 2017, Physical review. E.

[26]  Harry Eugene Stanley,et al.  Catastrophic cascade of failures in interdependent networks , 2009, Nature.

[27]  Stefano Panzieri,et al.  Failures propagation in critical interdependent infrastructures , 2008, Int. J. Model. Identif. Control..

[28]  Wpm Wim Nuijten,et al.  Multimodal freight transportation planning: A literature review , 2014, Eur. J. Oper. Res..

[29]  Stephen P. Borgatti,et al.  Centrality and network flow , 2005, Soc. Networks.

[30]  Stefan Voß,et al.  Container terminal operation and operations research - a classification and literature review , 2004, OR Spectr..

[31]  Michiel C.J. Bliemer,et al.  Requirements for Traffic Assignment Models for Strategic Transport Planning: A Critical Assessment , 2013 .

[32]  Xin-She Yang,et al.  Introduction to Algorithms , 2021, Nature-Inspired Optimization Algorithms.

[33]  Shlomo Bekhor,et al.  Some observations on stochastic user equilibrium and system optimum of traffic assignment , 2000 .

[34]  D. McFadden,et al.  MIXED MNL MODELS FOR DISCRETE RESPONSE , 2000 .

[35]  Suzanne P. Evans,et al.  DERIVATION AND ANALYSIS OF SOME MODELS FOR COMBINING TRIP DISTRIBUTION AND ASSIGNMENT , 1976 .

[36]  Chung-Cheng Lu,et al.  Efficient Implementation of Method of Successive Averages in Simulation-Based Dynamic Traffic Assignment Models for Large-Scale Network Applications , 2007 .

[37]  Duanbing Chen,et al.  Vital nodes identification in complex networks , 2016, ArXiv.

[38]  Maria-Eugenia Iacob,et al.  Synchromodal Transport Planning at a Logistics Service Provider , 2016 .

[39]  Lori Tavasszy,et al.  Distribution and modal split models for freight transport in The Netherlands , 2011 .

[40]  R. Duncan Luce,et al.  Individual Choice Behavior: A Theoretical Analysis , 1979 .

[41]  Riza Atiq Abdullah O.K. Rahmat,et al.  Modeling a Multinomial Logit Model of Intercity Travel Mode Choice Behavior for All Trips in Libya , 2013 .

[42]  Wenfeng Li,et al.  Feasibility study for the introduction of synchromodal freight transportation concept , 2017 .

[43]  Dimitris Gritzalis,et al.  Securing Transportation-Critical Infrastructures: Trends and Perspectives , 2011, ICGS3/e-Democracy.

[44]  Jari Saramäki,et al.  Two betweenness centrality measures based on Randomized Shortest Paths , 2015, Scientific Reports.

[45]  Jonas Johansson,et al.  An approach for modelling interdependent infrastructures in the context of vulnerability analysis , 2010, Reliab. Eng. Syst. Saf..

[46]  Horst Treiblmaier,et al.  Critical Success Factors of Synchromodality: Results from a Case Study and Literature Review , 2016 .

[47]  Rob A. Zuidwijk,et al.  Multimodal schedule design for synchromodal freight transport systems , 2014, European Journal of Transport and Infrastructure Research.

[48]  Michael Florian,et al.  Comparison of Assignment Methods for Simulation-Based Dynamic-Equilibrium Traffic Assignment , 2008 .

[49]  Per Olov Lindberg,et al.  The Stiff Is Moving - Conjugate Direction Frank-Wolfe Methods with Applications to Traffic Assignment , 2013, Transp. Sci..

[50]  Michael Patriksson,et al.  The Traffic Assignment Problem: Models and Methods , 2015 .

[51]  Amir Bashan,et al.  An Introduction to Interdependent Networks , 2014 .

[52]  José R. Correa,et al.  Sloan School of Management Working Paper 4319-03 June 2003 Selfish Routing in Capacitated Networks , 2022 .

[53]  Alessandro Vespignani,et al.  Complex networks: The fragility of interdependency , 2010, Nature.

[54]  L. Freeman.  Centrality in social networks conceptual clarification , 1978 .

[55]  Tony Z. Qiu,et al.  Link travel time and delay estimation using transit AVL data , 2017, 2017 4th International Conference on Transportation Information and Safety (ICTIS).