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Geoffrey Caruso

Researcher at University of Luxembourg

Publications -  67
Citations -  1250

Geoffrey Caruso is an academic researcher from University of Luxembourg. The author has contributed to research in topics: Population & Neighbourhood (mathematics). The author has an hindex of 18, co-authored 60 publications receiving 980 citations. Previous affiliations of Geoffrey Caruso include Université catholique de Louvain.

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Bicycle sharing system ‘success’ determinants

TL;DR: Estimates the number of daily trips from publicly available data for 75 BSS case studies across the world and provides trips per bike per day scores as a comparison of performance and success reveal that a third of case studies have fewer than the psychologically important one trip per bicycle per day.
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Spatial configurations in a periurban city. A cellular automata-based microeconomic model

TL;DR: In this paper, the authors present a microeconomic model of residential location that explores the emergence of a mixed belt where residents and farmers coexist beyond a city, based on integrating urban economics with cellular automata in order to simulate equilibrium patterns in 2D and through time.
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Exploring a spatio-dynamic neighbourhood-based model of residential behaviour in the Brussels periurban area

TL;DR: A coarse sensitivity analysis is undertaken in order to explore the relationship between household neighbourhood preferences and emerging spatial morphologies in a micro‐economic urban land‐use model within an extended Cellular Automata (CA) framework.
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GIS-based modelling of shallow geothermal energy potential for CO2 emission mitigation in urban areas

TL;DR: In this paper, the authors developed a spatial model to determine the potential per parcel for using shallow geothermal energy, for space heating and hot water, based on the space heating, hot water energy demand of each building and the specific heat extraction potential of the subsurface per parcel.
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Bike-share rebalancing strategies, patterns, and purpose

TL;DR: In this article, a spatio-temporal exploration of bicycle sharing system (BSS) rebalancing patterns from data extracted for individual stations at a fine temporal scale and operator interviews is provided.