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Understanding urban mobility and the impact of public policies: The role of the agent-based models

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  • Maggi, Elena
  • Vallino, Elena

Abstract

This paper provides a critical review of research on Agent-Based Models (ABMs) focusing on urban mobility, dealing either with passengers or with freight transport. The work concentrates on urban areas where public policies aiming at improving the sustainability of city systems necessarily affect both passengers and freight dimensions. Traffic in towns is responsible for a high share of congestion and pollution and consequently, it contributes to the climate change problems. The following conclusions can be derived. ABMs present important advantages for analysing urban transport and its sustainability but more efforts are needed in order to test and improve their use. In the literature, there is still a gap in urban transport AB modelling. The number of developed models is limited and they are often applied in broader geographical areas than urban ones. Only some of the works includes the estimation of environmental impacts as a result of certain types of agents' behaviour. Despite their potential effectiveness to represent the impacts of different public policies on agent behaviour and on the environment, none of the ABMs have been implemented in the real word by the researchers and there is no evidence of application of any model by policy-makers.

Suggested Citation

  • Maggi, Elena & Vallino, Elena, 2016. "Understanding urban mobility and the impact of public policies: The role of the agent-based models," Research in Transportation Economics, Elsevier, vol. 55(C), pages 50-59.
  • Handle: RePEc:eee:retrec:v:55:y:2016:i:c:p:50-59
    DOI: 10.1016/j.retrec.2016.04.010
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    Cited by:

    1. Mathieu Gardrat & Pascal Pluvinet, 2021. "Markov based mesoscopic simulation tool for urban freight: SIMTURB," Working Papers halshs-03284321, HAL.
    2. Sung-Bae Cho & Jin-Young Kim, 2021. "Clustered embedding using deep learning to analyze urban mobility based on complex transportation data," PLOS ONE, Public Library of Science, vol. 16(4), pages 1-19, April.
    3. Alves, Roberta & Pereira, Cecília Aparecida & Lima, Renato da Silva, 2023. "Operational cost analysis for e-commerce deliveries using agent-based modeling and simulation," Research in Transportation Economics, Elsevier, vol. 101(C).
    4. Inturri, Giuseppe & Le Pira, Michela & Giuffrida, Nadia & Ignaccolo, Matteo & Pluchino, Alessandro & Rapisarda, Andrea & D'Angelo, Riccardo, 2019. "Multi-agent simulation for planning and designing new shared mobility services," Research in Transportation Economics, Elsevier, vol. 73(C), pages 34-44.
    5. Mehdizadeh, Milad & Nordfjaern, Trond & Klöckner, Christian A., 2022. "A systematic review of the agent-based modelling/simulation paradigm in mobility transition," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    6. Priscila Pereira Suzart Carvalho & Ricardo Araújo Kalid & Jorge Laureano Moya Rodríguez & Sandro Breval Santiago, 2019. "Interactions among stakeholders in the processes of city logistics: a systematic review of the literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 567-607, August.
    7. Hanadi Al-Thani & Muammer Koç & Rima J. Isaifan & Yusuf Bicer, 2022. "A Review of the Integrated Renewable Energy Systems for Sustainable Urban Mobility," Sustainability, MDPI, vol. 14(17), pages 1-27, August.
    8. Wang, Hui & Han, Jiaying & Su, Min & Wan, Shulin & Zhang, Zhenchao, 2021. "The relationship between freight transport and economic development: A case study of China," Research in Transportation Economics, Elsevier, vol. 85(C).
    9. Maggi,Elena & Vallino,Elena, 2017. "An Agent-Based Simulation of Urban Passenger Mobility and Related Policies. The Case Study of an Italian Small City," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201708, University of Turin.

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    More about this item

    Keywords

    Urban mobility; Agent-based models; City logistics; Passengers transport; Freight transport; Policy simulation; Climate change goals; Literature review;
    All these keywords.

    JEL classification:

    • B40 - Schools of Economic Thought and Methodology - - Economic Methodology - - - General
    • B59 - Schools of Economic Thought and Methodology - - Current Heterodox Approaches - - - Other
    • D00 - Microeconomics - - General - - - General
    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics
    • R4 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics
    • R48 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government Pricing and Policy

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