Case study · draft

A student project from the Rethinking.Logistics studio showing how tools deliver metrics for decisions.

StudentKhrystyna Verbitska
ProjectUrban Logistic Hub
Portfolioheyzine.com/flip-book/c97c8fb64f.html
StudioAD4
Year2026
LocationPrague 11 – Háje, Prague (former industrial / abandoned building next to a housing estate)
Typologyurban last-mile micro-hub (cargo-bike and EV dispatch) with showroom and community roof garden, adaptive reuse
Statusdraft

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Project

The project starts from the shortage of last-mile micro-hubs in Prague (only Florenc and Smíchov identified) and the traffic, emission and kerbside problems caused by deliveries coming from warehouses outside the city. Using a city-wide map of brownfields and abandoned buildings, it selects an abandoned concrete structure in Háje and converts it into a micro-hub that sorts parcels and dispatches them by cargo bikes and electric vehicles. The building is stacked by floor: a ground-level logistics layer for loading, sorting and bike/EV servicing, a showroom and repair/community level above, and a public rooftop garden. Two spatial proposals were explored: a hybrid model where logistics and public programmes overlap, and a floor-separated model to avoid operational conflicts.

How the student framed the challenge

  • Urban integration of logistics buildings
  • Last-mile delivery emissions and traffic
  • Adaptive reuse of abandoned urban buildings
  • Public access and community use of logistics sites

Metrics and evidence

Every metric the project used, as named by the student, with the value, the calculation and the portfolio page.

MetricStudent’s wordingValueHow it was calculatedToolPage
Green area ratio+35% Green Surface AreaExisting: mostly sealed industrial surfaces; proposal: approx. 210 m² of new green surface on a 600 m² site, approx. +35% vegetated areaNew vegetated surface (roof garden and planted areas) divided by site area.manual / formula14-15
Embodied carbon saved by reuseCarbon Reduction600 m² × 500 kgCO2e/m² = 300,000 kgCO2e for new build; approx. 210,000 kgCO2e saved by reuseBuilding area × benchmark embodied carbon of new construction (500 kgCO2e/m²) × assumed saving share of reuse (70%).manual / formula16-17
Publicly accessible area+210 m² of Accessible Community SpaceExisting: 0 m²; proposal: approx. 210 m² (rooftop public garden ~150 m² + showroom and interaction zone ~60 m²)Sum of floor areas open to the public (rooftop garden plus showroom/interaction zone), compared with the existing state.manual / formula18-19
Delivery timeEnd-to-end cycle time64% fasterRelative reduction of delivery cycle time when a micro-hub is added to the supply chain; source of the figure not stated (appears to be a literature value for the micro-hub model, not computed for this site).not stated6
Last-mile delivery costSupply chain cost34% lowerRelative reduction of transport and handling costs in the micro-hub model; source of the figure not stated.not stated6
Last-mile delivery emissionsCO₂ emissions40% reductionRelative reduction of delivery emissions from localized distribution and clean mobility (cargo bikes, EVs); source of the figure not stated.not stated6

Tools

No digital tool is named in the portfolio — values were estimated by hand, taken from literature, or not quantified.

Trade-offs

  • Prioritising cargo-bike deliveries lowers CO2 emissions and urban traffic impact but reduces throughput and scalability, especially at peak demand (emissions vs. logistics capacity).
  • Mixing public programmes with logistics increases community space and social integration but creates operational conflicts, congestion and noise at peak dispatch times (public accessibility vs. operational efficiency); addressed by comparing a hybrid layout with a floor-separated layout.

Decision

Reuse an abandoned building on an inner-city brownfield instead of building new, which supports the embodied carbon saving and the green and public space gains. The floor-separated scheme (logistics at ground level, showroom/community above, public roof garden on top) is the one developed in the exploded axonometric.

Open questions

  • Integration into the city and the connection between neighbours and the chosen location was identified as a gap at mid-term (questionnaire 1.3).
  • Research depth and testing of alternatives named as the biggest gaps (questionnaire 6.2).
  • Electricity price and grey-water strategy not answered in the questionnaire.
  • Walkability, accessibility and adaptability are named as KPIs in the questionnaire but are not quantified in the portfolio.

Connections


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