Abstract
Today, the networks of digital platforms are deeply intertwined with our everyday topographies. One of the giants of the industry is Amazon, the world's largest e-commerce company. Over the past decade, it has become our neighbour, employer and critical public infrastructure provider – a standard in modern city life. For the Ruhr metropolis in Germany, Amazon epitomizes a transformative force for shaping the historically industrial region into a warehouse for Europe. It brings with it the promise of turning the region into a service sector hub. With its extensive logistics and delivery operations, however, Amazon is building onto already existing (public) infrastructures, past and present: Drawing on the example of the logistical cluster at the Westfalenhütte in the north-east of Dortmund, a 612.000-resident city in Western Germany, this paper maps out how deeply rooted in (and dependent on) industrial histories ‘innovative’ contemporary developments by tech companies are. From the ground to the cloud, it reveals the various layers of public local infrastructure that Amazon is settling on to, profiting off of – or even taking over.
Today, the networks of digital platforms are deeply intertwined with our everyday topographies. One of the giants of the industry is Amazon, the world's largest e-commerce company with a ‘mastery of logistics’ (Alimahomed-Wilson, 2020). Over the past decade, it has become our neighbour, employer and critical public infrastructure provider – a standard in modern city life (Voigt, 2024; West, 2022).
For the Ruhr metropolis in Germany, Amazon epitomizes a transformative force for shaping the historically industrial region into a warehouse for Europe (Hesse, 2002; Jarosch, 2019). As of 2024, it has 11 facilities in the Ruhr region alone, spanning from sorting centers to delivery stations (MWPVL International, 2024). Logistics companies like Amazon bring with them a promise of futures cleared of a heavily industrial past (Richter, 2004): In the last 25 years, they have been an important driver for turning the region into a service sector hub with adjacent infrastructure (Jarosch, 2019).
Take, for example, the logistical cluster at the Westfalenhütte in the north-east of Dortmund, a 612.000-resident city in Western Germany. Where once the ‘Kumpel’ (buddies) of the iron and steel works Hoesch, founded in 1871, cycled to work, Amazon's and other logistics workers (often noticeably dressed in bright high-visibility vests) are now cramping into public busses or rushing to their next shift on e-scooters. The mixed-use industrial estate has been a witness to significant local history and the perfect site for Amazon's later settlement there: The decrease of 10,000 jobs down to about 6400 at the Westfalenhütte by 2022 due to the deindustrialization meant the loss of a ‘huge “job motor” as well as long-term job security which provides social security for a number of neighborhood residents […]’ (Stadt Dortmund. Amt für Stadterneuerung, 2023, p. 10, trans. by author). Global and local logistics companies such as DB Schenker, Decathlon, Deutsche Post DHL and REWE have responded to the city's call to revitalize the area and attract companies that offer much-needed low-entry job opportunities. They ultimately built up enough technical, political and knowledge infrastructure on-site for Amazon to follow in 2017. While the Westfalenhütte still hosts a hot-dip galvanizing plant of ThyssenKrupp steel it is now mainly a logistics hub of big retailers.
Setting out to unbox Amazon's logistics and its urban impact in the Ruhr region from 2021 to 2023, our ‘Automating the Logistical City’ research project together with guests ethnographically traced the multiple layers of what this company consists of and is building on to – literally, from the ground up. We lingered in front of the company's ‘Inbound Crossdock’ DTM2 at the Westfalenhütte and explored the adjacent neighbourhood Nordstadt; we studied historical recounters and political strategy papers; we interviewed experts and city representatives on local industrial history. Following the traditions of counter-mappings by, for example, Kollektiv orangotango (2019) and deep mapping approaches (Mattern, 2015) I then assembled the gathered material (official maps, graphic recordings, pictures taken in the field, etc.) in the style of an architectural isometry 1 which stresses the circular and multilayerness of spatial, material and social impact that tech companies like Amazon have. The visualization similarly aims to ‘illuminate the unavoidably subjective and political aspects of mapping and to provide alternatives to hegemonic, authoritative – and often naturalized and reified approaches to cartography’ (Mattern, 2015, p. 30). It centers especially on our interview partners’ accounts, albeit graphically translated by us researchers. What our qualitative mapping of Amazon's networks revealed is the various layers of public local infrastructure that Amazon is settling on to, profiting off of or even taking over.
The layers
1. 2. 3. 4.
Here is where Amazon's logistics come full circle: its cloud services will inevitably have an impact on our planet, and thus will be part of the post-industrial heritage. Its logistical footprint will be inscribed in future land relations, the ground, and the soil our observations started with. As is its elusive character, Amazon will probably be long gone by then.
Supplemental Material
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Footnotes
Acknowledgements
This research is based on the work of the project ‘Automating the Logistical City: Space, Algorithms, Speculation’ at Leuphana University of Lüneburg, Germany. A heartfelt thanks goes to Armin Beverungen and Ilia Antenucci and our expert guests and fellow mappers of the CAIS working group we hosted in Bochum in 2023: Kathrin Wildner, Ulf Treger and Andrea Pollio. Special gratitude to Cesrin Schneider and Dani-Lou Voigt for their design support. Last, but not least, my deepest THANK YOU to all of our interview partners for their invaluable insights, expertise and trust this work builds on.
Declaration of conflicting interests
The author declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Funding
The author disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: Research for this contribution was funded by the Lower Saxony Ministry for Science and Culture and the Volkswagen Foundation as part of the
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Notes
References
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