IDEAS home Printed from https://ideas.repec.org/h/spr/prochp/978-3-031-85284-8_16.html
   My bibliography  Save this book chapter

Green Delivery Analytics: Software Vision of a Planning Tool for Sustainable Last Mile Logistics

In: Advances and New Trends in Environmental Informatics

Author

Listed:
  • Benjamin Wagner vom Berg

    (University of Applied Sciences Bremerhaven, Smart Mobility Institute)

  • Richard Schulte

    (University of Applied Sciences Bremerhaven, Smart Mobility Institute)

  • Mattes Leibenath

    (University of Applied Sciences Bremerhaven, Smart Mobility Institute)

  • Senad Hasanspahic

    (University of Applied Sciences Bremerhaven, Smart Mobility Institute)

  • Arne Kruse

    (Am Weser-Terminal)

  • Christoph Drieling

    (Am Weser-Terminal)

  • Kian Seelaff

    (Am Weser-Terminal)

  • Aina Andriamananony

    (COSMO UG Customer-Oriented Sustainable Mobility)

  • Uta Kühne

    (University of Applied Sciences Bremerhaven, Smart Mobility Institute)

  • Franziska Giese

    (University of Applied Sciences Bremerhaven, Smart Mobility Institute)

Abstract

The field of logistics plays a pivotal role in modern society and the economy. However, it also has a significant environmental impact. In order to address this issue, it is imperative for logistics to become more sustainable. One effective solution is the use of cargo bikes and light electric vehicles for last mile delivery, as they are more eco-friendly compared to traditional delivery vehicles. To optimize the use of cargo bikes and create sustainable last mile logistics, delivery service providers must implement novel optimization strategies that account for the unique characteristics of cargo bikes and city hub architecture. The research project “Green Delivery Analytics” aims to develop a logistics planning tool with the goal of addressing the challenges of sustainable last mile logistics by incorporating advanced data analytics and optimization techniques regarding transport planning and the localization of micro-hubs. This paper presents a software vision for the aforementioned planning tool, developed using the Rational Unified Process (RUP). This process was employed to determine the necessary design of the software to fulfill the necessary functions and business processes. To this end, an analysis of relevant stakeholders and associated data was conducted. The software vision is presented and discussed for further development.

Suggested Citation

  • Benjamin Wagner vom Berg & Richard Schulte & Mattes Leibenath & Senad Hasanspahic & Arne Kruse & Christoph Drieling & Kian Seelaff & Aina Andriamananony & Uta Kühne & Franziska Giese, 2025. "Green Delivery Analytics: Software Vision of a Planning Tool for Sustainable Last Mile Logistics," Progress in IS, in: Volker Wohlgemuth & Hamdy Kandil & Amna Ramzy (ed.), Advances and New Trends in Environmental Informatics, pages 275-292, Springer.
    • Handle: RePEc:spr:prochp:978-3-031-85284-8_16
    DOI: 10.1007/978-3-031-85284-8_16
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:prochp:978-3-031-85284-8_16. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.