IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2018i1p124-d193414.html
   My bibliography  Save this article

A Stakeholder-Based Evaluation of the Most Suitable and Sustainable Delivery Fleet for Freight Consolidation Policies in the Inner-City Area

Author

Listed:
  • Khalid Aljohani

    (Department. of Infrastructure Engineering, University of Melbourne, Melbourne 3010, Australia)

  • Russell G. Thompson

    (Department. of Infrastructure Engineering, University of Melbourne, Melbourne 3010, Australia)

Abstract

Freight carriers, receivers and citizens in the inner-city area suffer the most from issues impacting last mile delivery due to exacerbated traffic congestion, limited parking and unsustainable delivery vehicles. Freight consolidation policies offer a sustainable solution to address these problems. The freight vehicles used in the consolidated deliveries could play a significant role in the sustainability and success of these policies. This paper applies a multi-stakeholder decision support approach to evaluate the suitability and potential of various delivery fleet configurations in addressing the perspectives and requirements of all stakeholders involved in last mile delivery to perform the consolidated delivery in the inner-city area. The Multi-Actor Multi-Criteria Analysis (MAMCA) framework was utilised to assess and rank various delivery configurations involving a combination of eco-friendly delivery vans, trucks and cargobikes based on the objectives of the stakeholders. The weight allocation of the criteria was determined through the Fuzzy Analytic Hierarchy Process (F-AHP) method using responses collected from key actors representing all stakeholder groups in Melbourne, Australia. The multi-stakeholder analysis, which was performed using the Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) method, suggested that the consolidated delivery should be performed using a combination of eco-friendly delivery vans and cargobikes to incorporate the concerns of the societal stakeholders and operational requirements of the business stakeholders. The mono-actor analysis revealed the heterogeneity of the stakeholders’ preferences and clashing views regarding the optimal delivery fleet. This highlights the importance of incorporating a multi-stakeholder perspective in the planning and selection of suitable urban freight policies. Accordingly, a suitable implementation plan for the consolidated delivery fleet was proposed to reflect the perspectives and requirements of these stakeholders.

Suggested Citation

  • Khalid Aljohani & Russell G. Thompson, 2018. "A Stakeholder-Based Evaluation of the Most Suitable and Sustainable Delivery Fleet for Freight Consolidation Policies in the Inner-City Area," Sustainability, MDPI, vol. 11(1), pages 1-27, December.
  • Handle: RePEc:gam:jsusta:v:11:y:2018:i:1:p:124-:d:193414
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/1/124/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/11/1/124/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. R. E. Bellman & L. A. Zadeh, 1970. "Decision-Making in a Fuzzy Environment," Management Science, INFORMS, vol. 17(4), pages 141-164, December.
    2. Philippe Lebeau & Sara Verlinde & Cathy Macharis & Joeri Van Mierlo, 2017. "How can authorities support urban consolidation centres? A review of the accompanying measures," Journal of Urbanism: International Research on Placemaking and Urban Sustainability, Taylor & Francis Journals, vol. 10(4), pages 468-486, October.
    3. Estrada, Miquel & Roca-Riu, Mireia, 2017. "Stakeholder’s profitability of carrier-led consolidation strategies in urban goods distribution," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 104(C), pages 165-188.
    4. Jarosław Wątróbski & Krzysztof Małecki & Kinga Kijewska & Stanisław Iwan & Artur Karczmarczyk & Russell G. Thompson, 2017. "Multi-Criteria Analysis of Electric Vans for City Logistics," Sustainability, MDPI, vol. 9(8), pages 1-34, August.
    5. Zamani-Sabzi, Hamed & King, James Phillip & Gard, Charlotte C. & Abudu, Shalamu, 2016. "Statistical and analytical comparison of multi-criteria decision-making techniques under fuzzy environment," Operations Research Perspectives, Elsevier, vol. 3(C), pages 92-117.
    6. Behzadian, Majid & Kazemzadeh, R.B. & Albadvi, A. & Aghdasi, M., 2010. "PROMETHEE: A comprehensive literature review on methodologies and applications," European Journal of Operational Research, Elsevier, vol. 200(1), pages 198-215, January.
    7. Michael Browne & Julian Allen & Toshinori Nemoto & Danièle Patier & Johan Visser, 2012. "Reducing Social and Environmental Impacts of Urban Freight Transport: A Review of Some Major Cities," Post-Print halshs-01078143, HAL.
    8. Zanni, Alberto M. & Bristow, Abigail L., 2010. "Emissions of CO2 from road freight transport in London: Trends and policies for long run reductions," Energy Policy, Elsevier, vol. 38(4), pages 1774-1786, April.
    9. Aljohani, Khalid & Thompson, Russell G., 2016. "Impacts of logistics sprawl on the urban environment and logistics: Taxonomy and review of literature," Journal of Transport Geography, Elsevier, vol. 57(C), pages 255-263.
    10. Björklund, Maria & Abrahamsson, Mats & Johansson, Henrik, 2017. "Critical factors for viable business models for urban consolidation centres," Research in Transportation Economics, Elsevier, vol. 64(C), pages 36-47.
    11. Levi Vermote & Cathy Macharis & Koen Putman, 2013. "A Road Network for Freight Transport in Flanders: Multi-Actor Multi-Criteria Assessment of Alternative Ring Ways," Sustainability, MDPI, vol. 5(10), pages 1-25, September.
    12. Macharis, Cathy & Bernardini, Annalia, 2015. "Reviewing the use of Multi-Criteria Decision Analysis for the evaluation of transport projects: Time for a multi-actor approach," Transport Policy, Elsevier, vol. 37(C), pages 177-186.
    13. Martin Savelsbergh & Tom Van Woensel, 2016. "50th Anniversary Invited Article—City Logistics: Challenges and Opportunities," Transportation Science, INFORMS, vol. 50(2), pages 579-590, May.
    14. J. P. Brans & Ph. Vincke, 1985. "Note---A Preference Ranking Organisation Method," Management Science, INFORMS, vol. 31(6), pages 647-656, June.
    15. Samuel Pelletier & Ola Jabali & Gilbert Laporte, 2016. "50th Anniversary Invited Article—Goods Distribution with Electric Vehicles: Review and Research Perspectives," Transportation Science, INFORMS, vol. 50(1), pages 3-22, February.
    16. Chang, Da-Yong, 1996. "Applications of the extent analysis method on fuzzy AHP," European Journal of Operational Research, Elsevier, vol. 95(3), pages 649-655, December.
    17. Beskese, Ahmet & Kahraman, Cengiz & Irani, Zahir, 2004. "Quantification of flexibility in advanced manufacturing systems using fuzzy concept," International Journal of Production Economics, Elsevier, vol. 89(1), pages 45-56, May.
    18. Angel Alejandro Juan & Carlos Alberto Mendez & Javier Faulin & Jesica De Armas & Scott Erwin Grasman, 2016. "Electric Vehicles in Logistics and Transportation: A Survey on Emerging Environmental, Strategic, and Operational Challenges," Energies, MDPI, vol. 9(2), pages 1-21, January.
    19. Alexandra Anderluh & Vera C. Hemmelmayr & Pamela C. Nolz, 2017. "Synchronizing vans and cargo bikes in a city distribution network," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 25(2), pages 345-376, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Khalid Aljohani & Russell G. Thompson, 2020. "An Examination of Last Mile Delivery Practices of Freight Carriers Servicing Business Receivers in Inner-City Areas," Sustainability, MDPI, vol. 12(7), pages 1-21, April.
    2. Filip Škultéty & Dominika Beňová & Jozef Gnap, 2021. "City Logistics as an Imperative Smart City Mechanism: Scrutiny of Clustered EU27 Capitals," Sustainability, MDPI, vol. 13(7), pages 1-16, March.
    3. John Olsson & Daniel Hellström & Henrik Pålsson, 2019. "Framework of Last Mile Logistics Research: A Systematic Review of the Literature," Sustainability, MDPI, vol. 11(24), pages 1-25, December.
    4. Roberta Alves & Renato da Silva Lima & David Custódio de Sena & Alexandre Ferreira de Pinho & José Holguín-Veras, 2019. "Agent-Based Simulation Model for Evaluating Urban Freight Policy to E-Commerce," Sustainability, MDPI, vol. 11(15), pages 1-19, July.
    5. Rui Ren & Wanjie Hu & Jianjun Dong & Bo Sun & Yicun Chen & Zhilong Chen, 2019. "A Systematic Literature Review of Green and Sustainable Logistics: Bibliometric Analysis, Research Trend and Knowledge Taxonomy," IJERPH, MDPI, vol. 17(1), pages 1-25, December.
    6. Magdalena Mucowska, 2021. "Trends of Environmentally Sustainable Solutions of Urban Last-Mile Deliveries on the E-Commerce Market—A Literature Review," Sustainability, MDPI, vol. 13(11), pages 1-26, May.
    7. Melkonyan, Ani & Gruchmann, Tim & Lohmar, Fabian & Kamath, Vasanth & Spinler, Stefan, 2020. "Sustainability assessment of last-mile logistics and distribution strategies: The case of local food networks," International Journal of Production Economics, Elsevier, vol. 228(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Aljohani, Khalid & Thompson, Russell G., 2021. "Profitability of freight consolidation facilities: A detailed cost analysis based on theoretical modelling," Research in Transportation Economics, Elsevier, vol. 90(C).
    2. Cleophas, Catherine & Cottrill, Caitlin & Ehmke, Jan Fabian & Tierney, Kevin, 2019. "Collaborative urban transportation: Recent advances in theory and practice," European Journal of Operational Research, Elsevier, vol. 273(3), pages 801-816.
    3. Nils Boysen & Stefan Fedtke & Stefan Schwerdfeger, 2021. "Last-mile delivery concepts: a survey from an operational research perspective," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 43(1), pages 1-58, March.
    4. Marta Viu-Roig & Eduard J. Alvarez-Palau, 2020. "The Impact of E-Commerce-Related Last-Mile Logistics on Cities: A Systematic Literature Review," Sustainability, MDPI, vol. 12(16), pages 1-19, August.
    5. Jie, Wanchen & Yang, Jun & Zhang, Min & Huang, Yongxi, 2019. "The two-echelon capacitated electric vehicle routing problem with battery swapping stations: Formulation and efficient methodology," European Journal of Operational Research, Elsevier, vol. 272(3), pages 879-904.
    6. Aljohani, Khalid & Thompson, Russell G., 2020. "Receivers-led delivery consolidation policy: Estimating the characteristics of the most interested businesses to participate," Research in Transportation Economics, Elsevier, vol. 80(C).
    7. 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.
    8. Ehsan Khanmohammadi & Mostafa Zandieh & Talieh Tayebi, 2019. "Drawing a Strategy Canvas Using the Fuzzy Best–Worst Method," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 20(1), pages 57-75, March.
    9. Isa, Selma Setsumi & Lima, Orlando Fontes & Vidal Vieira, José Geraldo, 2021. "Urban consolidation centers: Impact analysis by stakeholder," Research in Transportation Economics, Elsevier, vol. 90(C).
    10. Yuda Li & Mohammad Peyman & Javier Panadero & Angel A. Juan & Fatos Xhafa, 2022. "IoT Analytics and Agile Optimization for Solving Dynamic Team Orienteering Problems with Mandatory Visits," Mathematics, MDPI, vol. 10(6), pages 1-21, March.
    11. Sergio Maria Patella & Gianluca Grazieschi & Valerio Gatta & Edoardo Marcucci & Stefano Carrese, 2020. "The Adoption of Green Vehicles in Last Mile Logistics: A Systematic Review," Sustainability, MDPI, vol. 13(1), pages 1-29, December.
    12. Sajid Ali & Sang-Moon Lee & Choon-Man Jang, 2017. "Determination of the Most Optimal On-Shore Wind Farm Site Location Using a GIS-MCDM Methodology: Evaluating the Case of South Korea," Energies, MDPI, vol. 10(12), pages 1-22, December.
    13. Daniele Crotti & Elena Maggi, 2023. "Social Responsibility and Urban Consolidation Centres in Sustainable Freight Transport Markets," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 9(2), pages 829-850, July.
    14. Mahsa Ghandi & Abbas Roozbahani, 2020. "Risk Management of Drinking Water Supply in Critical Conditions Using Fuzzy PROMETHEE V Technique," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(2), pages 595-615, January.
    15. Manuel Casal-Guisande & Alberto Comesaña-Campos & Alejandro Pereira & José-Benito Bouza-Rodríguez & Jorge Cerqueiro-Pequeño, 2022. "A Decision-Making Methodology Based on Expert Systems Applied to Machining Tools Condition Monitoring," Mathematics, MDPI, vol. 10(3), pages 1-30, February.
    16. Sebastian Schär & Jutta Geldermann, 2021. "Adopting Multiactor Multicriteria Analysis for the Evaluation of Energy Scenarios," Sustainability, MDPI, vol. 13(5), pages 1-19, March.
    17. Daniel Kaszubowski, 2019. "A Method for the Evaluation of Urban Freight Transport Models as a Tool for Improving the Delivery of Sustainable Urban Transport Policy," Sustainability, MDPI, vol. 11(6), pages 1-23, March.
    18. Aleksandar Aleksić & Danijela Tadić, 2023. "Industrial and Management Applications of Type-2 Multi-Attribute Decision-Making Techniques Extended with Type-2 Fuzzy Sets from 2013 to 2022," Mathematics, MDPI, vol. 11(10), pages 1-24, May.
    19. Olcer, A. I. & Odabasi, A. Y., 2005. "A new fuzzy multiple attributive group decision making methodology and its application to propulsion/manoeuvring system selection problem," European Journal of Operational Research, Elsevier, vol. 166(1), pages 93-114, October.
    20. Aikaterini Papapostolou & Charikleia Karakosta & Kalliopi-Anastasia Kourti & Haris Doukas & John Psarras, 2019. "Supporting Europe’s Energy Policy Towards a Decarbonised Energy System: A Comparative Assessment," Sustainability, MDPI, vol. 11(15), pages 1-26, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:11:y:2018:i:1:p:124-:d:193414. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.