This repository contains the input data for the paper 'Modelling human activities in a system of cities'.
The input data is used to run the DAVE model for Cantons Vaud and Geneva in Switzerland at 500m grid. DAVE (Dynamic Anthropogenic actiVities and feedback to Emissions) is a multi-scale agent-based modelling system. It uses a bottom-up approach to model the interactions and feedback between urban form (e.g., building morphology, materials), urban function determined by human activities and the urban micro-climate. This dataset is organized following the structure required by DAVE. Further details can be found at:
The top folders containing the files for each category: Citizens, EnvironmentalVariables, InputOptions, Spatial, Time_settings, Transport, Travel_dict.
Citizens: each citizen in each grid with household and building information
EnvironmentalVariables: weather forcing
InputOptions: microenvironments and age type definitions
Spatial:
- Information on the spatial grids such as the grid list, employment rate, spatial attractor, commuting attractor.
- Information on building such as the initial occupancy of each building (London_stebbs_building_typologies.nml actually contains building in the Swiss domain) and general thermal properties (London_stebbs_general_params.nml, currently uses London parameters but can be updated in the future)
Time_settings: day types (weekday, holidays, holidays with school) of each day of year
Transport: transport capacity of each mode. The probability of using each transport mode to commute at each grid.
Travel_dict: the shortest path for each transport mode between each 500m grid in the study domain. The files are produced by MATSDA (Movement And Transport Simulations using Dijkstra’s Algorithm) v1.0, which uses grid-based transport database and Dijkstra’s Algorithm to solve the shortest paths between each grid. Further details can be found at:
To run DAVE simulations, a file on population activity schedule/habits is also needed. We processed this file from the TimeUse+ survey conducted by ETHZ but is not able to share it due to privacy. The data from TimeUse+ survey can be requested from its authors. Further details can be found at:
