Sinno, Mohamad Osman (2026) GIS-MCDA for Micro-Hub Locations in Amsterdam. Bachelor thesis, Data Science and Society (DSS).
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Abstract
Abstract The rapid growth of e-commerce has significantly increased parcel volumes in urban areas, intensifying pressure on last-mile delivery systems, which are widely recognised as the most costly and inefficient segment of the supply chain (Katsela et al., 2022; de Bok et al., 2024; Zaralı et al., 2026). In dense cities such as Amsterdam, this results in congestion, emissions, and operational constraints linked to limited infrastructure and strict sustainability policies (Waterstaat, 2013; Novotná et al., 2022). In response, urban logistics micro-hubs have emerged as a promising solution to improve delivery efficiency and sustainability by enabling consolidation and the use of low-emission transport modes such as cargo bikes (Katsela et al., 2022; de Bok et al., 2024). However, their effectiveness strongly depends on spatial placement, which remains a key planning challenge. This study applies a GIS-based Multi-Criteria Decision Analysis (GIS-MCDA) approach using open urban datasets to assess spatial suitability for micro-hub development in Amsterdam. The framework integrates accessibility, demand, and land-use criteria to generate a continuous suitability surface for early-stage planning support. Rather than identifying optimal facility locations, the study focuses on identifying relative spatial potential. The results contribute to urban logistics research by demonstrating a transparent and reproducible decision-support methodology that bridges spatial planning and last-mile delivery analysis. The findings provide practical insights for planners and policymakers working on sustainable urban freight systems.
| Item Type: | Thesis (Bachelor) |
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| Name supervisor: | Schauble, J.K. |
| Date Deposited: | 09 Jul 2026 11:23 |
| Last Modified: | 09 Jul 2026 11:23 |
| URI: | https://campus-fryslan.studenttheses.ub.rug.nl/id/eprint/889 |
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