Code for the paper "Synergizing cycling and transit: Strategic placement of cycling infrastructure to enhance job accessibility"
DOI: 10.4121/fd029bd6-8420-4285-a1ea-0eac72999da9
Datacite citation style
Software
Usage statistics
Categories
Geolocation
Licence MIT
Interoperability
This code is used for computing the results of the paper "Synergizing cycling and transit: Strategic placement of cycling infrastructure to enhance job accessibility".
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.
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.
FORMAT
*.mkd;
*.ipynb;
*.txt;
*.csv
RECOMMENDED HARDWARE
1. Processor: Intel® Core™ i5-10210U CPU
2. RAM: 16GiB of RAM (DDR4)
3. GPU: Intel® UHD Graphics GPU
RECOMMENDED OPERATING SYSTEM
Ubuntu 22.04.2, 64-bit
REQUIRED VERSION OF PYTHON
3.9.7
REQUIRED LIBRARIES USED
see requirements.txt
EXTRA FILE
parameter.csv specifies some parameters used in the analysis.
SEQUENCE OF SCRIPTS
The scripts should be run in the following order:
1. perimeter_of_study.ipynb
2. transfer_preprocess.ipynb
3. waiting_time.ipynb
4. shortest_path.ipynb
5. compute_stops_reachable_PT.ipynb
6. compute_accessibility.ipynb
7. identifying_cr_infrastructure.ipynb
History
- 2023-05-26 first online
- 2024-04-15 published, posted
Publisher
4TU.ResearchDataAssociated peer-reviewed publication
Synergizing cycling and transit: Strategic placement of cycling infrastructure to enhance job accessibilityOrganizations
TU Delft, Faculty of Civil Engineering and Geosciences, Department of Transport and PlanningDATA
Files (11)
- 1,980 bytesMD5:f87a31d6c5211ba49c320ff67f476ee2README_code.mkd
- 44,637 bytesMD5:1fa1399fe8b2fc0ea872ed6949844fb9compute_accessibility.ipynb
- 48,918 bytesMD5:09460ce3abdffff692e2648872ee16c5compute_stops_reachable_PT.ipynb
- 39,805 bytesMD5:3f2267942e684722f513aec5c468fa43identify_cr_infrastructure.ipynb
- 1,579 bytesMD5:84642f28cfa41dcfc9a9ebde54924c7bparameter.csv
- 15,817 bytesMD5:d5d5060f76f7ad36adc64f38e6022ffaperimeter_of_study.ipynb
- 1,169 bytesMD5:a78baedf2627750d53caf9fe14aa15afrequirements.txt
- 21,664 bytesMD5:6acf117d7fe111de079c012e8da1ad3dshortest_paths.ipynb
- 5,087 bytesMD5:827e54fb1bc384ac60424a2fa69965c4transfer_preprocess.ipynb
- 3,477 bytesMD5:34b18f4618e2106a65bbb13aa862e8b2visualization_transit_map.ipynb
- 109,299 bytesMD5:3e5e6d0f264db7df3a56adfb42a3ec58waiting_time.ipynb
- 
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