Abstract
Inefficient urban freight transport has a negative impact on both livability in cities and profit margins in the supply chain. Urban logistics schemes, consisting of governmental policies and company initiatives, attempt to address these problems. However, successful schemes are difficult to realize due to the divergent objectives of the agents involved in urban logistics. Traditional optimization techniques fall short when evaluating schemes, as they do not capture the required change in behavior of autonomous agents. To properly evaluate schemes, we develop an agent-based simulation framework that assesses the interaction between five types of autonomous agents. Compared to existing studies in this field, we contribute by (i) explicitly including company-driven initiatives, and (ii) adopting a supply chain-wide perspective. We illustrate the working of our framework by testing a number of schemes on a virtual network.
Keywords
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Allen, J., Browne, M., Woodburn, A., Leonardi, J.: The role of urban consolidation centres in sustainable freight transport. Transp. Rev. 32(4), 473–490 (2012)
Anand, N., Quak, H., van Duin, R., Tavasszy, L.: City logistics modeling efforts: trends and gaps - a review. Procedia Soc. Behav. Sci. 39, 101–115 (2012)
Anderson, S., Allen, J., Browne, M.: Urban logistics - how can it meet policy makers sustainability objectives? J. Transp. Geogr. 13(1), 71–81 (2005)
Bektaş, T., Crainic, T.G., Van Woensel, T.: From managing urban freight to smart city logistics networks. CIRRELT 2015–2017 (2015)
Benjelloun, A., Crainic, T.G.: Trends, challenges, and perspectives in city logistics. In: Transportation and Land Use Interaction, Proceedings TRANSLU, vol. 8, pp. 269–284 (2008)
Boer, E., Otten, M.B.J., Essen, H.: Comparison of various transport modes on a EU scale with the STREAM database. CE Delft (2011)
Boerkamps, J., van Binsbergen, A.: Goodtrip - a new approach for modelling and evaluating urban goods distribution. In: Taniguchi, E., R.G., T. (eds.) City Logistics I, pp. 175–186. ARRB Group Limited, Melbourne (1999)
Browne, M., Sweet, M., Woodburn, A., Allen, J.: Urban freight consolidation centres. Transport Studies Group 10 (2005)
Cattaruzza, D., Absi, N., Feillet, D., González-Feliu, J.: Vehicle routing problems for city logistics. EURO J. Transp. Logistics, 1–29 (2015)
Crainic, T.G., Ricciardi, N., Storchi, G.: Models for evaluating and planning city logistics systems. Transp. Sci. 43(4), 432–454 (2009)
Gevaers, R., Van de Voorde, E., Vanelslander, T.: Characteristics and typology of last-mile logistics from an innovation perspective in an urban context. In: Macharis, C., Melo, S. (eds.) City Distribution and Urban Freight Transport: Multiple Perspectives, pp. 56–71. Edward Elger, Cheltenham (2011)
Kim, G., Ong, Y.S., Heng, C.K., Tan, P.S., Zhang, N.A.: City vehicle routing problem (city VRP): a review. IEEE Trans. Intell. Transp. Syst. 16(4), 1654–1666 (2015)
Macharis, C., Milan, L., Verlinde, S.: A stakeholder-based multicriteria evaluation framework for city distribution. Res. Transp. Bus. Manage. 11, 75–84 (2014)
Minkoff, A.S.: A Markov decision model and decomposition heuristic for dynamic vehicle dispatching. Oper. Res. 41(1), 77–90 (1993)
Osborne, M.J., Rubinstein, A.: A Course in Game Theory. MIT Press, Cambridge (1994)
Quak, H.: Urban freight transport: the challenge of sustainability. In: Macharis, C., Melo, S. (eds.) City Distribution and Urban Freight Transport: Multiple Perspectives, pp. 37–56. Edward Elger, Cheltenham (2011)
Roca-Riu, M., Estrada, M., Fernández, E.: An evaluation of urban consolidation centers through continuous analysis with non-equal market share companies. Transp. Res. Procedia 12, 370–382 (2016)
Russo, F., Comi, A.: A classification of city logistics measures and connected impacts. Procedia Soc. Behav. Sci. 2(3), 6355–6365 (2010)
Tamagawa, D., Taniguchi, E., Yamada, T.: Evaluating city logistics measures using a multi-agent model. Procedia Soc. Behav. Sci. 2(3), 6002–6012 (2010)
Taniguchi, E., Thompson, R.G., Yamada, T.: Concepts and visions for urban transport and logistics relating to human security. In: Taniguchi, E., Fwa, T.F., Thompson, R.G. (eds.) Urban Transportation and Logistics: Health, Safety, and Security Concerns, pp. 1–30. CRC Press, Boca Raton (2014)
United Nations: Worlds population increasingly urban with more than half living in urban areas (2014). https://www.un.org/development/desa/en/news/population/world-urbanization-prospects.html. Accessed 22 Mar 2016
Van Duin, R.J., van Kolck, A., Anand, N., Taniguchi, E.: Towards an agent-based modelling approach for the evaluation of dynamic usage of urban distribution centres. Procedia Soc. Behav. Sci. 39, 333–348 (2012)
Van Heeswijk, W.J.A., Mes, M.R., Schutten, M.J.: An approximate dynamic programming approach to urban freight distribution with batch arrivals. In: Corman, F., Voß, S., Negenborn, R.R. (eds.) ICCL 2015. LNCS, vol. 9335, pp. 61–75. Springer, Switzerland (2015)
Van Rooijen, T., Quak, H.: Local impacts of a new urban consolidation centre-the case of Binnenstadservice. nl. Procedia Soc. Behav. Sci. 2(3), 5967–5979 (2010)
Wangapisit, O., Taniguchi, E., Teo, J.S., Qureshi, A.G.: Multi-agent systems modelling for evaluating joint delivery systems. Procedia Soc. Behav. Sci. 125, 472–483 (2014)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
van Heeswijk, W., Mes, M., Schutten, M. (2016). An Agent-Based Simulation Framework to Evaluate Urban Logistics Schemes. In: Paias, A., Ruthmair, M., Voß, S. (eds) Computational Logistics. ICCL 2016. Lecture Notes in Computer Science(), vol 9855. Springer, Cham. https://doi.org/10.1007/978-3-319-44896-1_24
Download citation
DOI: https://doi.org/10.1007/978-3-319-44896-1_24
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-44895-4
Online ISBN: 978-3-319-44896-1
eBook Packages: Computer ScienceComputer Science (R0)