Supply chain micro-communities in urban areas
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[1] Rahul C. Basole,et al. Supply Network Structure, Visibility, and Risk Diffusion: A Computational Approach , 2014, Decis. Sci..
[2] Gábor Csárdi,et al. The igraph software package for complex network research , 2006 .
[3] Anand Nair,et al. Complexity and Adaptivity in Supply Networks: Building Supply Network Theory Using a Complex Adaptive Systems Perspective , 2007, Decis. Sci..
[4] Rahul C. Basole,et al. Computational Analysis and Visualization of Global Supply Network Risks , 2016, IEEE Transactions on Industrial Informatics.
[5] Edward J.S. Hearnshaw,et al. A complex network approach to supply chain network theory , 2013 .
[6] Julie L Cidell,et al. Concentration and decentralization: The new geography of freight distribution in US metropolitan areas , 2010 .
[7] Laetitia Dablanc,et al. Urban freight consultations in the Paris region , 2011 .
[8] Z. Simpson,et al. Spatial politics and infrastructure development: Analysis of historical transportation data in Gauteng - South Africa (1975–2003) , 2017 .
[9] Johan W. Joubert,et al. Repeatability & reproducibility: Implications of using GPS data for freight activity chains , 2015 .
[10] Tetsuro Hyodo,et al. Locational dynamics of logistics facilities: Evidence from Tokyo , 2015 .
[11] Xia Yang,et al. Urban Freight Delivery Stop Identification with GPS Data , 2014 .
[12] P. J. Coetzee,et al. Spatial relationships and movement patterns of the air cargo industry in airport regions , 2017 .
[13] Laetitia Dablanc,et al. The impacts of logistics sprawl: How does the location of parcel transport terminals affect the energy efficiency of goods’ movements in Paris and what can we do about it? , 2010 .
[14] Thomas Y. Choi,et al. Supply networks and complex adaptive systems: Control versus emergence , 2001 .
[15] Tetsuro Hyodo,et al. Spatial reorganization of urban logistics system and its impacts: Case of Tokyo , 2017 .
[16] Soundar R. T. Kumara,et al. Survivability of multiagent-based supply networks: a topological perspect , 2004, IEEE Intelligent Systems.
[17] Sanggyun Kang,et al. Spatial dynamics of the logistics industry: Evidence from California , 2018 .
[18] Cape Town,et al. Cape Town Spatial Development Framework : statutory report , 2012 .
[19] Albert,et al. Emergence of scaling in random networks , 1999, Science.
[20] Edward McCormack,et al. Understanding Freight Trip-Chaining Behavior Using a Spatial Data-Mining Approach with GPS Data , 2016 .
[21] Kay W. Axhausen,et al. A complex network approach to understand commercial vehicle movement , 2013 .
[22] Thomas Y. Choi,et al. Structural investigation of supply networks: A social network analysis approach , 2011 .
[23] Quintin Van Heerden,et al. Generating Intra and Inter-provincial Commercial Vehicle Activity Chains , 2014 .
[24] Godfrey G. Musvoto,et al. The Role of Spatial Development Frameworks in Transformation of the eThekwini Municipality, KwaZulu-Natal, South Africa: Reflecting on 20 Years of Planning , 2016 .
[25] José M. Vidal,et al. Supply network topology and robustness against disruptions – an investigation using multi-agent model , 2011 .
[26] Mark E. J. Newman,et al. Power-Law Distributions in Empirical Data , 2007, SIAM Rev..
[27] Thomas Y. Choi,et al. A Theory of the Nexus Supplier: A Critical Supplier from a Network Perspective , 2014 .
[28] Thomas Y. Choi,et al. Taking the leap from dyads to triads: Buyer–supplier relationships in supply networks , 2009 .
[29] R. Pinto,et al. Research in urban logistics: a systematic literature review , 2016 .
[30] K. Axhausen,et al. Inferring commercial vehicle activities in Gauteng, South Africa , 2011 .
[31] Executive Summary. World Urbanization Prospects: The 2018 Revision , 2019 .
[32] Johan W. Joubert,et al. The Road most Travelled: The Impact of Urban Road Infrastructure on Supply Chain Network Vulnerability , 2018 .
[33] Mark Stevenson,et al. Supply chain resilience: definition, review and theoretical foundations for further study , 2015 .
[34] Colin S Gillespie,et al. Fitting Heavy Tailed Distributions: The poweRlaw Package , 2014, 1407.3492.
[35] Alessandro Vespignani,et al. Epidemic spreading in scale-free networks. , 2000, Physical review letters.
[36] Rahul C. Basole,et al. Network analysis of supply chain systems: A systematic review and future research , 2013, Syst. Eng..
[37] C. Ducruet,et al. Regions and material flows: investigating the regional branching and industry relatedness of port traffics in a global perspective , 2016 .
[38] Johan W. Joubert,et al. Computational considerations in building inter-firm networks , 2015, Transportation.
[39] Thibaut Démare,et al. Modeling logistic systems with an agent-based model and dynamic graphs , 2017 .
[40] A. Pluchino,et al. Simulating participatory urban freight transport policy-making: Accounting for heterogeneous stakeholders’ preferences and interaction effects , 2017 .
[41] Santo Fortunato,et al. Community detection in graphs , 2009, ArXiv.
[42] Joris Beckers,et al. Returning the particular: Understanding hierarchies in the Belgian logistics system , 2017, Journal of Transport Geography.
[43] John Yen,et al. Analyzing the Resilience of Complex Supply Network Topologies Against Random and Targeted Disruptions , 2011, IEEE Systems Journal.
[44] T. Notteboom,et al. The worldwide maritime network of container shipping: Spatial structure and regional dynamics , 2012 .
[45] Nilesh Anand,et al. The Seventh International Conference on City Logistics City logistics modeling efforts : Trends and gaps-A review , 2012 .
[46] N. M. Viljoen,et al. The vulnerability of the global container shipping network to targeted link disruption , 2016 .
[47] Khalid A Aljohani,et al. Impacts of logistics sprawl on the urban environment and logistics: Taxonomy and review of literature , 2016 .