Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
-
○Academic publication links
-
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (4.5%) to scientific vocabulary
Repository
Modal share across metropolitan areas
Basic Info
- Host: GitHub
- Owner: rafaelprietocuriel
- Default Branch: main
- Size: 917 KB
Statistics
- Stars: 15
- Watchers: 3
- Forks: 3
- Open Issues: 2
- Releases: 0
Metadata Files
README.md
ModalShare
Modal share across metropolitan areas. The data contains the modal share distribution. The data has 1092 observations, corresponding to 876 metropolitan areas.
Variable description
CityID - unique identifier for the metropolitan area. Repeated IDs correspond to two or more observations for the same city.
ObsID - unique identifier of the observation.
year - year of the sample
LastObservation - binary, detailing whether the number corresponds to the latest observation of the city
Country - name of the country
state_name - name of the state if available
state_abbr - state abbreviation if available
City - name of the city
metro_names - name of the metropolitan area if available (mostly in the US). The name for some cities corresponds to the largest municipality of the metropolitan area
population - estimated population corresponding to the year of the observations
longitude - x coordinate
latitude - y coordinate
Walking - % of people that walk to work
Cycling - % of people that cycle to work
Active - % of people that have active mobility to work, including walking, cycling and others
Bus - % of people that use public transport to work
Car - % of people that use car to work
IncomeGroup - Income group of the country, according to the World Bank classification
Region - world region - Europe anc Central Asia; Latin America and Caribbean; East Asia and Pacific; South Asia; North America; Sub-Saharan Africa
DataSource - name of the data source reported
DataLink - link to the data reported
Owner
- Login: rafaelprietocuriel
- Kind: user
- Repositories: 3
- Profile: https://github.com/rafaelprietocuriel
Citation (CITATION.cff)
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: >-
Large cities are less efficient for sustainable
transport: The ABC of mobility
message: >-
The dataset was compiled from multiple sources. All
sources are referenced in the dataset. If you find
an error or if you would like to add more
metrpolitan areas to the database, please contact
us!
type: dataset
authors:
- given-names: Rafael
family-names: Prieto-Curiel
email: prieto-curiel@csh.ac.at
affiliation: Complexity Science Hub
- given-names: 'Juan P. '
family-names: Ospina
email: jospinaz@eafit.edu.co
affiliation: EAFIT
GitHub Events
Total
- Watch event: 6
- Push event: 3
Last Year
- Watch event: 6
- Push event: 3