Volume 8 – 2018 (0007)

City logistics – Literature review

Norberto António Leite Bessa 1

1 ISCET – High Institute of Business and Tourism Sciences, Porto, Portugal

To cite this text:

Bessa, N. A. L. (2018), City logistics – Literature review, Percursos & Ideias, Vol. 8, pp. 63-81.

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Abstract

The importance of the transport of goods and passengers into and from the cities had create an increased interest in the researchers and communities due to the daily impact of this field of study in millions of people all over the world. The quality and quantity of transport of passengers and goods in terms of solutions offered by public and private sectors, the travel distances in kilometers and time, the environmental impacts in the cities and in the quality of life of the people are the mains areas of research that have been studied by the academics. The purpose of this paper is to present a literature review that aims to highlight the mains trends in City Logistics as well as focus principal authors, analyze the development of the field of study, and provide future research directions.

Keywords

City logistics, Literature review, Urban freight, Stakeholder involvement.

References

Ambrosini, C.; Routhier, J. L. (2004), “Objectives, methods and results of surveys carried out in the field of urban freight transport: An international comparison”, in Transport Reviews, 24 (1), pp. 57-77.

Anand, N. et al. (2012), “City Logistics modeling efforts: Trends and Gaps – A review”, in Procedia – Social and Behavioral Sciences, 39, pp. 101-115.

Awasthi, A.; Chauhan, S. S. (2012), “A hybrid approach integrating Affinity Diagram, AHP and fuzzy TOPSIS for sustainable City Logistics planning”, in Applied Mathematical Modelling, 36, pp. 573-584.

Balcik, B. et al. (2010), “Coordination in humanitarian relief chains: Practices, challenges and opportunities”, in International Journal of Production Economics, 126 (1), pp. 22-34.

Barcelo, J. et al. (1999), “Modeling advanced transport telematic applications with microscopic simulators: The case of AIMSUN 2”, in Traffic and Mobility, 3, pp. 205-221.

Bell, M. G. H. (2004), “Games, Heuristics, and Risk Averseness in Vehicle Routing Problems”, in Journal of Urban Planning and Development, 130 (1), pp. 37-41.

– (2006), “Mixed route strategies for the risk-averse shipment of hazardous materials”, in Network and Spatial Economics, 6 (3-4), pp. 253–265.

– (2009), “Hyperstar: A multi-path Astar algorithm for risk averse vehicle navigation”, in Transportation Research Part B, 43 (1), pp. 97-107.

BESTUFS – Best Urban Freight Solutions II (2006), European Union Project, [Accessed on 09.06.2013]. Available at: http://www.bestufs.net/download/BESTUFS_II/key_issuesII/BESTUFS_II_results_datacollection/BESTUFS_II_data_collection_synthesis_report.pdf

Boerkamps, J. H. K.; van Binsbergen, A. J.; Bovy, P. H. L. (2000), “Modeling behavioral aspects of urban freight movement in supply chains”, in Transportation Research Record: Journal of the Transportation Research Board, 1725 (1), pp. 17-25.

Caunhye, A. M. ; Nie, X. ; Pokharel, S. (2011), “Optimization models in emergency logistics: A literature review”, in Socio-Economic Planning Sciences, 46 (1), pp. 4-13.

Chiou, S. W. (2009), “A bi-level programming for logistics network design with system-optimized flows”, in Information Sciences, 179 (14), pp. 2434-2441.

Correia, V. A.; de Oliveira, L. K.; Guerra, A. L. (2012), “Economical and environmental analysis of an urban consolidation center for Belo Horizonte city (Brazil)”, in Procedia – Social and Behavioral Sciences, 39, pp. 770-782.

Crainic, T. G. (2008), “City Logistics”, in CIRRELT, 25, pp. 1-46.

Crainic, T. G.; Ricciardi, N.; Storchi, G. (2009), “Models for Evaluating and Planning City Logistics Systems”, in Transportation Science, 43 (4), pp. 432-454.

Crainic, T. G.; Gendreau, M.; Potvin, J. (2009), “Intelligent freight-transportation systems: Assessment and the contribution of operations research”, Transportation Research Part C-Emerging Technologies, 17 (6), pp. 541-557.

Cui, L. et al. (2010), “City Distribution Service Quality: A Factor Impacting on Supplier-customer Relationship and Customer Satisfaction”, in Proceeding of 2010 International Conference on Logistics Systems and Intelligent Management, 2, pp. 813-816.

Dablanc, L. (2007), “Goods transport in large European cities: Difficult to organize, difficult to modernize”, in Transportation Research Part A-Policy and Practice, 41 (3), pp. 280-285.

DHL (2012), “Logistics 2050: A scenario study”, in Delivering Tomorrow (1st ed.), Bonn: Deutsche Post AG.

Figliozzi, M. (2007), “Analysis of the efficiency of urban commercial vehicle tours: Data collection, methodology, and policy implications”, in Transportation Research Part B: Methodological, 41 (9), pp. 1014-1032.

Helbing, D. et al. (2001), “MASTER: Macroscopic traffic simulation based on a gas-kinetic, non-local traffic model”, in Transportation Research Part B, 35 (2), pp. 183-211.

Hensher, D. A.; Puckett, S. M. (2005), “Refocusing the modeling of freight distribution: Development of an economic-based framework to evaluate supply chain behavior in response to congestion charging”, in Transportation, 32 (6), pp. 573-602.

Hill, C.; Scudder, G. (2002), “The use of electronic data interchange for supply chain coordination in the food industry”, in Journal of Operations Management, 20 (4), pp. 375-387.

Hille, S. J. (1971), “Urban Goods Movement Research – Proposed Approach”, in Traffic Quarterly, 25 (1), pp. 25-38.

Holguin-Veras, J.; Thorson, E.; Ozbay, K. (2004), “Preliminary results of experimental economics application to urban goods modeling research”, in Transportation Research Record: Journal of the Transportation Research Board, 1873 (1), pp. 9-16.

Holguin-Veras, J. et al. (2008), “An investigation on the effectiveness of joint receiver-carrier policies to increase truck traffic in the off-peak hours, Part II: The behavior of carriers”, in Network and Spatial Economics, 8 (4), pp. 327-354.

Hou, H. et al. (2010), “Evaluation Model and Its Application for City Distribution Capability of Beijing Based on Entropy Method”, in Proceeding of 2010 International Conference on Logistics Systems and Intelligent Management, 1-3, pp. 197-201.

Kok, A. L.; Hans, E. W.; Schutten, J. M. J. (2010), “A dynamic programming heuristic for vehicle routing with time-dependent travel times and required breaks”, in Flexible Services and Manufacturing Journal, 22 (1-2), pp. 83-108.

Kuo, R. J.; Han, Y. S. (2011), “A hybrid of genetic algorithm and particle swarm optimization for solving bi-level linear programming problem – A case study on supply chain model”, in Applied Mathematical Modelling, 35 (8), pp. 3905-3917.

Lam, S. H.; Cao, J. M. C.; Fan, H. (2002), “Development of an intelligent agent for airport gate assignment”, in Journal of Air Transportation, 7 (2), pp. 103-114.

Li, T.; Cavusgil, S. T. (1995), “A Classification and Assessment of Research Streams in International Marketing”, in International Business Review, 4 (3), pp. 251-277.

Luan, K. (2010), “Simulation of freight consolidation strategy based on system dynamics”, in Proceedings, ICLEM 2010: Logistics for sustained economic development – infrastructure, information, integration, 4, Chengdu: Transportation and Development Institute of ASCE, pp. 3616-3622.

Mahut, M. (2001), “A multi-lane link model of traffic dynamics based on the space-time queue”, in Proceedings of IEEE Intelligent Transportation Systems Conference, Piscataway NJ: IEEE, pp. 122-126.

Mansouri, S. A.; Gallear, D.; Askariazad, M. H. (2010), “Decision support for build-to-order supply chain management through multiobjective optimization”, in International Journal of Production Economics, 35 (1), pp. 24-36.

Marasco, A. (2008), “Third party logistics: a literature review”, in International Journal of Production Economics, 113 (1), pp. 127-147.

Marcucci, E.; Danielis, R. (2008), “The potential demand for a urban freight consolidation centre”, in Transportation, 35 (2), pp. 269-284.

Marsili, M.; Zhang, Y. (1998), “Interacting individuals leading to Zipf’s law”, in Physical Review Letter, 80 (12), pp. 2741-2744.

McDermott, D. R. (1980), “Urban Goods Movement: State of the Art and Future Possibilities”, in Transportation Journal, 20 (2), pp. 34-40.

Moncayo-Martínez, L. A.; Zhang, D.Z. (2011), “Multi-objective ant colony optimisation: A meta-heuristic approach to supply chain design”, in International Journal of Production Economics, 131 (1), pp. 407-420.

Munuzuri, J. et al. (2010), “Modelling peak-hour urban freight movements with limited data availability”, in Computers & Industrial Engineering, 59 (1), pp. 34-44.

Munuzuri, J. et al. (2009), “Modeling freight delivery flows: Missing link of urban transport analysis”, in Journal of Urban Planning and Development, 135 (3), pp. 91-99.

Munuzuri, J. et al. (2005), “Solutions applicable by local administrations for urban logistics improvement”, in CITIES, 22 (1), pp. 15-28.

Ogden, K. (1992), Urban goods movement: A guide to policy and planning, Farnham: Ashgate Publishing.

Quak, H. J. H.; de Koster, M. R. B. M. (2006), “The impacts of time access restrictions and vehicle weight restrictions on food retailers and the environment”, in European Journal of Transport and Infrastructure Research, 6 (2), pp. 131-150.

– (2009), “Delivering Goods in Urban Areas: How to Deal with Urban Policy Restrictions and the Environment”, in Transportation Science, 43 (2), pp. 211-227.

Qureshi, A. G.; Taniguchi, E.; Yamada, T. (2009), “An exact solution approach for vehicle routing and scheduling problems with soft time windows”, in Transportation Research Part E-Logistics and Transportation Review, 45 (6), pp. 960-977.

Roca-Riu, M.; Estrada, M. (2012), “An evaluation of urban consolidation centers through logistics systems analysis in circumstances where companies have equal market shares”, in Procedia – Social and Behavioral Sciences, 39, pp. 796-806.

Russo, F.; Comi, A. (2010), “A modeling system to simulate goods movements at an urban scale”, in Transportation, 37 (6), pp. 987-1009.

– (2011), “A model system for the ex-ante assessment of City Logistics measures”, in Research in Transportation Economics, 31 (1), pp. 81-87.

Russo, F.; Vitetta, A.; Quattrone, A. (2006), “Route choice modelling for freight transport at national level”, in Proceedings of the European Transport Conference (ETC), Strasbourg: France.

Sathaye, N.; Horvath, A.; Madanat, S. (2010), “Unintended impacts of increased truck loads on pavement supply-chain emissions”, in Transportation Research part A-Policy and Practice, 44 (1), pp. 1-15.

SUGAR (2011), City Logistics Best Practices: a handbook for authorities, Bologna: SUGAR.

Taniguchi, E. (2012), “Concept and best practices of City Logistics”, in International Transport Forum, Lecture, Leipzig, 2 May 2012.

Taniguchi, E.; Shimamoto, H. (2004), “Intelligent transportation system based dynamic vehicle routing and scheduling with variable travel times”, in Transportation Research Part C-Emerging Technologies, 12 (3-4), pp. 235-250.

Taniguchi, E.; Tamagawa, D. (2005), “Evaluating City Logistics measures considering the behavior of several stakeholders”, in Journal of the Eastern Asia Society for Transportation Studies, 6, pp. 3062-3076.

Taniguchi, E.; Thompson, R.G. (2002), “Modeling City Logistics”, in Transportation Research Record: Journal of the Transportation Research Board, 1790, pp. 45-51.

Taniguchi, E.; Thompson, R. G.; Yamada, T. (2012), “Emerging techniques for enhancing the practical application of City Logistics models”, in Procedia – Social and Behavioral Sciences, 39, pp. 3-18.

Thompson R. G.; Taniguchi, E. (2001), “City Logistics and freight transport”, in A. M. Brewer, K. J. Button and D. A. Hensher (eds.), Handbook of Logistics and Supply-Chain Management (1st ed.), Oxford: Pergamon, pp. 393-405.

van Duin, J. H. R.; Quak, H.J.H. (2007), “City Logistics: a chaos between research and policy making? A review”, in Urban Transport XIII-Urban Transport and the Environment in the 21st Century, Brebia, C.A., Southampton: WIT Press, pp. 135-146.

van Duin, R. et al. (2012), “Towards and agent-based modelling approach for the evaluation of dynamic usage of urban distribution centres”, in Procedia – Social and Behavioral Science, 39, pp. 333-348.

Visser, J. G. S. N.; Maat, K. (1997), “A simulation model for urban freight transport with GIS”, in Proceedings of Seminar J at the 25th ETF Annual Meeting, Brunel University, England, pp. 1-5.

Wen, M. et al. (2010), “The dynamic multi-period vehicle routing problem”, in Computers and Operations Research, 37 (9), pp. 1615-1623.

Wheeler, N.; Figliozzi, M. (2011), “Multi-criteria trucking freeway performance measures in congested corridors”, in Transportation Research Record: Journal of the Transportation Research Board, 2224, pp. 82-93.

Wisetjindawat, W.; Sano, K. (2003), “A behavioral modeling in micro-simulation for urban freight transportation”, in Journal of the Eastern Asia Society for Transportation Studies, 5, pp. 2193-2208.

Woensel, T. V. et al. (2008), “Vehicle routing with dynamic travel times: A queueing approach”, in European Journal of Operational Research, 186 (3), pp. 990-1007.

Wolpert, S.; Reuter, C. (2012), “Status Quo of Logistics in Scientific Literature”, in Transportation Research Record: Journal of the Transportation Research Board, 2269, pp. 110-116.

Xu, J.; Hancock, K. L.; Southwoth, F. (2003), “Freight simulation: dynamic freight traffic simulation providing real-time information”, in Proceedings of the 35th Conference on Winter Simulation, 2, New Orleans, pp. 1711-1719. Yu, Z.; Yan, H.; Cheng, E. (2001), “Benefits of information sharing with supply chain partnerships”, inIndustrial Management and Data Systems, 101 (3), pp. 114-119.