Data Repository
Data Collection
TInnGO project survey on "Mobility Patterns" in Greece.
Creators
1
Dr. Fotis K. Liotopoulos
liotop@sboing.net
SBOING
Copyright holders
1
Dr. Fotis K. Liotopoulos
liotop@sboing.net
SBOING
Contacts
1
Dr. Fotis K. Liotopoulos
liotop@sboing.net
SBOING
Contributors
1
Dr. Fotis K. Liotopoulos
liotop@sboing.net
SBOING
Data collection title
TInnGO project survey on "Mobility Patterns" in Greece.
Alternative title
No informationData description (abstract)
This survey was conducted in 2021 during the European (H2020) research project TInnGO (www.tinngo.eu), coordinated by the Coventry University and it is about how specific kind of people chooses their transport. The study aims to provide a basis for the development of sustainable transport and future transport services in Europe. The raw survey data is from Greece.
Potential uses / usefulness
This dataset is useful for researches and transport stakeholders.
Keywords
transport
mobility
covid
survey
safety
security
Subjects
Major studies and data
Society and culture
Travel and transport
Temporal coverage
2020-12-01
2021-02-08
2018-01-01
2018-12-31
Thessaloniki, Greece.
41.80408
27.86133
34.59704
20.1709
Greece
The survey responses were collected using the Transport Survey Platform of SBOING, available at: https://tinngo.sboing.net/surveys. It was advertised and promoted through the social media. 400 responses were collected with incentivization (raffle).
Individuals
GIS
Numeric
Textual
The dataset was extracted in (MS-Excel) XML format from the Surveys platform. The .xml file should be open with MS-Excel. The dataset has been anonymized before uploaded (GDPR-compliant).
Cross-national survey data
Historical data
Other surveys
Survey data
English
Related resources
TInnGO Greek Survey on "Mobility Patterns"
Website
Notes on access
Ethical clearance for the surveys platform and for the particular survey has been given by the Ethical Committee of Coventry University. The participants have been informed of the identity of the survey with a "Participant Information Statement". The dataset is anonymized and GDPR-compliant.