Tanya Tsui,
Titus Venverloo,
Fabio Duarte,
Tom Benson,
Version 1 of Dataset published 2023 via 4TU.ResearchData
This dataset contains the data and code used for a paper currently being peer reviewed, titled "Spatial optimization of circular timber hubs". For this research, we identified the optimal location and scale of circular construction hubs in Amsterdam using a spatial simulated annealing as an optimization algorithm. The zipped file contains two folders, "code" and "data". The "code" folder contains:costEffectiveness_v3.py - python script for calculating the cost effectiveness (euros / tCO2eq reduction) of a given configuration of circular construction hubs.spatialAnnealing_parallel_hpc.R - R script for running the spatial simulated annealing algorithm on a high performance computing cluster.resultsVisualization_v2.ipynb - a jupyter notebook visualizing the results of the research.
The "data" folder contains:ams_edges.shp - shp file of major street network in Amsterdam.candiHubs_ams.shp - shp file of potential locations for circular construction hubsmatGrid_ams.shp - shp file showing the predicted future supply and demand for timber (for construction) in Amsterdam. This shpfile was modified from