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Simulation-Based Participatory Modelling in Urban and Production Logistics: A Review on Advances and Trends

Author

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  • Amita Singh

    (KTH Royal Institute of Technology Kvarnbergagatan 12, 151 36 Södertälje, Sweden)

  • Jannicke Baalsrud Hauge

    (KTH Royal Institute of Technology Kvarnbergagatan 12, 151 36 Södertälje, Sweden)

  • Magnus Wiktorsson

    (KTH Royal Institute of Technology Kvarnbergagatan 12, 151 36 Södertälje, Sweden)

Abstract

Simulation-based participatory modelling allows integration of all types of knowledge including empirical, technical and scientific from all disciplines and domains. Thus, in recent years, the use of participatory modelling has been continuously increasing in many fields including logistics. With a view of achieving better understanding of the subject, this article systematically reviews the advances made in participatory modelling in the field of urban and production logistics in the last decade. It further reports the findings transparently following a categorization based on (i) the purpose of participatory modelling in the domain, and (ii) depending on the purpose how data is collected, processed and outcomes are presented. The review resulted in 97 articles which were analysed and categorized based on the above two questions formulated in the literature surveyed. The review revealed that apart from the three existing categories of purposes, namely, reflexive, descriptive and normative there is an emerging fourth category that was analytical in nature and 15 out of 97 articles analyzed belonged to this category. The authors decided to call this category analytical field empirical modelling which is primarily based on mathematical modelling and use of computational methods. We present these results with the help of a categorization. During the analysis for the second research question, we discovered that though the conventional ways of data collection and processing, such as interviews and workshops, which remain significantly present, in electronic data crowdsourcing and data processing via computational methods are emerging.

Suggested Citation

  • Amita Singh & Jannicke Baalsrud Hauge & Magnus Wiktorsson, 2021. "Simulation-Based Participatory Modelling in Urban and Production Logistics: A Review on Advances and Trends," Sustainability, MDPI, vol. 14(1), pages 1-21, December.
    • Handle: RePEc:gam:jsusta:v:14:y:2021:i:1:p:17-:d:707359
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    References listed on IDEAS

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    1. Hori, Keiko & Kim, Jaegyu & Kawase, Reina & Kimura, Michinori & Matsui, Takanori & Machimura, Takashi, 2020. "Local energy system design support using a renewable energy mix multi-objective optimization model and a co-creative optimization process," Renewable Energy, Elsevier, vol. 156(C), pages 1278-1291.
    2. Ayyoob Sharifi & Lorenzo Chelleri & Cate Fox-Lent & Stelios Grafakos & Minal Pathak & Marta Olazabal & Susie Moloney & Lily Yumagulova & Yoshiki Yamagata, 2017. "Conceptualizing Dimensions and Characteristics of Urban Resilience: Insights from a Co-Design Process," Sustainability, MDPI, vol. 9(6), pages 1-20, June.
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