TY - DATA
T1 - Data and code underlying the publication: Spatial optimization of circular timber hubs
PY - 2023/07/19
AU - Tanya Tsui
AU - Titus Venverloo
AU - Fabio Duarte
AU - Tom  Benson
UR - 
DO - 10.4121/cd4f6a57-44ad-4c15-a5da-09b2c390e900.v1
KW - circular economy
KW - circular cities
KW - circular construction hub
KW - GIS
KW - spatial optimization
N2 - <p>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:</p><ul><li>costEffectiveness_v3.py - python script for calculating the cost effectiveness (euros / tCO2eq reduction) of a given configuration of circular construction hubs.</li><li>spatialAnnealing_parallel_hpc.R - R script for running the spatial simulated annealing algorithm on a high performance computing cluster.</li><li>resultsVisualization_v2.ipynb - a jupyter notebook visualizing the results of the research.</li></ul><p></p><p>The "data" folder contains:</p><ul><li>ams_edges.shp - shp file of major street network in Amsterdam.</li><li>candiHubs_ams.shp - shp file of potential locations for circular construction hubs</li><li>matGrid_ams.shp - shp file showing the predicted future supply and demand for timber (for construction) in Amsterdam. This shpfile was modified from a dataset created by the Planbureau voor de Leefomgeving and researchers from Leiden University, see their publication here: https://www.sciencedirect.com/science/article/pii/S0921344921007138</li></ul>
ER -