April 10, 2020 Software Open Access

Capel-Timms, Isabellla; Smith, Stefan Thor; Sun, Ting; Grimmond, Sue

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{
  "description": "<ul>\n\t<li><strong>Dynamic Anthropogenic activitieS impacting Heat emissions (DASH v1.0): Development and evaluation</strong></li>\n\t<li><strong>DASH</strong> - is undergoing significantly development (e.g. being made more generic, more efficient, more capabilities). Currently, results are benchmarked to this version. Please contact c.s.grimmond@reading.ac.uk to find out about the most appropriate source of code</li>\n</ul>\n\n<p><strong>Funding Acknowledgement:</strong></p>\n\n<ul>\n\t<li>UK-China Research &amp; Innovation Partnership Fund through the Met Office Climate Science for Service Partnership (CSSP) China as part of the Newton Fund</li>\n\t<li>EPSRC (Reading)</li>\n\t<li>NERC APEx:10.13039/501100000690::NE/T001887/1</li>\n\t<li>ERC-2019-SyG: 855005 urbisphere</li>\n</ul>\n\n<p><strong>Overview</strong></p>\n\n<ul>\n\t<li>Source code and input data for v1.0 of the Dynamic Anthropogenic activitieS impacting Heat emissions model.</li>\n\t<li>DASH considers both urban form and function in simulating QF by use of an agent-based structure that includes behavioural characteristics of city populations. This allows social practices to drive the calculation of QF as occupants move, varying by day type, demographic, location, activity, socio-economic factors and in response to environmental conditions. DASH has simple transport and building energy models to allow simulation of dynamic vehicle use, occupancy and heating/cooling demand, with subsequent release of energy to the outdoor environment through the building fabric.</li>\n\t<li>The entire model comprises two parts:</li>\n\t<li>1. Agent interaction (under 2.movementtravel)</li>\n\t<li>2. Agent reaction (under.energyQfcalcs</li>\n\t<li>README files can be found in each folder with quick start guides for each.</li>\n</ul>\n\n<p><strong>1.dataprocessing </strong></p>\n\n<ul>\n\t<li>Currently in python 3.7</li>\n\t<li>## what does this code do?</li>\n\t<li>Various scripts transform elements of raw data to input data readable by DASH</li>\n\t<li>## what does this folder include?</li>\n\t<li>Input Data</li>\n\t<li>Processed Data</li>\n\t<li>\u2500 source-code # scripts for creating input data from raw data</li>\n\t<li>## how to run this code?</li>\n\t<li>1. Different elements are currently run separately.</li>\n\t<li># 2.movementtravel</li>\n\t<li>## what does this code do?</li>\n\t<li>1. Determines the travel and movement behaviours.</li>\n</ul>\n\n<ul>\n\t<li>2. Distributes people across the city.</li>\n</ul>\n\n<ul>\n\t<li>3. Provides occupancy and transport levels across the study area.</li>\n</ul>\n\n<ul>\n\t<li>## What does this folder include?</li>\n</ul>\n\n<ul>\n\t<li>run `tree . -d -L 1` to show the following (may vary over time)</li>\n</ul>\n\n<ul>\n\t<li>Data # input data</li>\n</ul>\n\n<ul>\n\t<li>\u251c\u2500\u2500 Runs # runs with cfg and output</li>\n</ul>\n\n<ul>\n\t<li>\u251c\u2500\u2500 py2-backup.tgz # backup of py2 files before 2to3 conversion</li>\n</ul>\n\n<ul>\n\t<li>\u251c\u2500\u2500 gen-traveltime-py2 # script to generate travel functions in py2</li>\n</ul>\n\n<ul>\n\t<li>\u2514\u2500\u2500 source-code # source code</li>\n\t<li>## How to run this module</li>\n\t<li>Before run this code, 2to3 was executed to convert all code into py3. the py2 version is secured into `py2-backup.tgz` archive\n\t<ul>\n\t\t<li><strong>QUICK START</strong></li>\n\t\t<li><strong>Run the code:</strong></li>\n\t</ul>\n\n\t<ul>\n\t\t<li><strong>1. entry point: `source_code/Main.py`: `python3 Main.py`<strong># 3.energyQfcalcs</strong><strong>## what does this code do? </strong></strong></li>\n\t</ul>\n\n\t<ul>\n\t\t<li><strong>1. To determine the occupancy levels in buildings</strong></li>\n\t</ul>\n\n\t<ul>\n\t\t<li><strong>2. To determine distribution of traffic on transport network</strong></li>\n\t\t<li><strong>2. To calculate energy use - giving Qf (B, T, and M)<strong>## what does this folder include?</strong></strong></li>\n\t</ul>\n\n\t<ul>\n\t\t<li><strong>run tree . -d -L 1 to show the following (may vary over time)</strong></li>\n\t\t<li><strong>\u251c\u2500\u2500 Data # input data</strong></li>\n\t</ul>\n\n\t<ul>\n\t\t<li><strong>\u251c\u2500\u2500 Runs # runs with cfg and output</strong></li>\n\t</ul>\n\n\t<ul>\n\t\t<li><strong>\u251c\u2500\u2500 py2-backup.tar # backup of py2 files before 2to3 conversion</strong></li>\n\t</ul>\n\n\t<ul>\n\t\t<li><strong>\u2514\u2500\u2500 source-code # source code<strong>## how to run this code?</strong></strong></li>\n\t</ul>\n\n\t<ul>\n\t\t<li><strong>1. create and install the C code extension</strong></li>\n\t</ul>\n\n\t<ul>\n\t\t<li><strong>in directory `STEBBS`, run:</strong></li>\n\t</ul>\n\n\t<ul>\n\t\t<li><strong>to install the C extension.</strong></li>\n\t</ul>\n\n\t<ul>\n\t\t<li><strong>2. main file: `Main.py`</strong></li>\n\t</ul>\n\n\t<ul>\n\t\t<li><strong>switch the same folder of this `README.md` file, run the following:</strong></li>\n\t</ul>\n\n\t<ul>\n\t\t<li><strong>python3 source_code/Main.py</strong></li>\n\t</ul>\n\t<strong><strong># 4.visualisation</strong></strong></li>\n</ul>\n\n<ul>\n\t<li><strong><strong>## what does this code do?</strong></strong></li>\n</ul>\n\n<ul>\n\t<li><strong>1. Produces graphs of results from 2.movementtravel and 3.energyQfcalcs</strong></li>\n</ul>\n\n<ul>\n\t<li><strong><strong>## what does this folder include? </strong></strong></li>\n</ul>\n\n<ul>\n\t<li><strong><strong>run `tree . -d -L 1` to show the following (may vary over time)</strong></strong></li>\n\t<li><strong><strong>\u2514\u2500\u2500 source-code # scripts for creating plots from results</strong></strong></li>\n</ul>\n\n<ul>\n\t<li><strong><strong><strong>## how to run this code?.</strong></strong></strong></li>\n</ul>\n\n<ul>\n\t<li><strong><strong>Different elements are currently run separately.</strong></strong></li>\n</ul>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "University of Reading", 
      "@id": "https://orcid.org/0000-0002-0339-168X", 
      "@type": "Person", 
      "name": "Capel-Timms, Isabellla"
    }, 
    {
      "affiliation": "University of Reading", 
      "@id": "https://orcid.org/0000-0002-5053-4639", 
      "@type": "Person", 
      "name": "Smith, Stefan Thor"
    }, 
    {
      "affiliation": "University of Reading", 
      "@id": "https://orcid.org/0000-0002-2486-6146", 
      "@type": "Person", 
      "name": "Sun, Ting"
    }, 
    {
      "affiliation": "University of Reading, Past: KCL, Indiana University", 
      "@id": "https://orcid.org/0000-0002-3166-9415", 
      "@type": "Person", 
      "name": "Grimmond, Sue"
    }
  ], 
  "url": "https://zenodo.org/record/3745524", 
  "datePublished": "2020-04-10", 
  "version": "1.0", 
  "keywords": [
    "Urban", 
    "London, UK", 
    "Anthropogenic Heat Flux", 
    "DASH", 
    "Agent based model"
  ], 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.5281/zenodo.3745524", 
  "@id": "https://doi.org/10.5281/zenodo.3745524", 
  "@type": "SoftwareSourceCode", 
  "name": "Dynamic Anthropogenic activitieS impacting Heat emissions (DASH v1.0): Development and evaluation"
}