cff-version: 1.2.0
abstract: "<p>This code is used for computing the results of the paper "Synergizing cycling and transit: Strategic placement of cycling infrastructure to enhance job accessibility".&nbsp;</p><p><br></p><p>This code measures job accessibility improvements in Amsterdam when cycling can be combined with public transport and quantifies the individual contribution of every potential bicycle parking location and cycle lane in the total accessibility improvements.</p><p><br></p><p>This source code should be stored in a folder named code. The folder code and the folder data should be located in the same directory.</p><p><br></p><h4>FORMAT</h4><p>*.mkd;</p><p>*.ipynb;</p><p>*.txt;</p><p>*.csv</p><p><br></p><h4>RECOMMENDED HARDWARE</h4><p>1. Processor: Intel® Core™ i5-10210U CPU</p><p>2. RAM: 16GiB of RAM (DDR4)</p><p>3. GPU: Intel® UHD Graphics GPU</p><p><br></p><h4>RECOMMENDED OPERATING SYSTEM</h4><p>Ubuntu 22.04.2, 64-bit</p><p><br></p><h4>REQUIRED VERSION OF PYTHON</h4><p>3.9.7</p><p><br></p><h4>REQUIRED LIBRARIES USED</h4><p>see requirements.txt</p><p><br></p><h4>EXTRA FILE</h4><p>parameter.csv specifies some parameters used in the analysis.</p><p><br></p><h4>SEQUENCE OF SCRIPTS</h4><p>The scripts should be run in the following order:</p><p><br></p><p>1. perimeter_of_study.ipynb</p><p>2. transfer_preprocess.ipynb</p><p>3. waiting_time.ipynb</p><p>4. shortest_path.ipynb</p><p>5. compute_stops_reachable_PT.ipynb</p><p>6. compute_accessibility.ipynb</p><p>7. identifying_cr_infrastructure.ipynb</p>"
authors:
  - family-names: Spierenburg
    given-names: Lucas
    orcid: "https://orcid.org/0000-0002-7806-6961"
title: "Code for the paper &#34;Synergizing cycling and transit: Strategic placement of cycling infrastructure to enhance job accessibility&#34;"
keywords:
version: 2
identifiers:
  - type: doi
    value: 10.4121/fd029bd6-8420-4285-a1ea-0eac72999da9.v2
license: MIT
date-released: 2024-04-15