Unique ID: 2017007

Division: Population and Social Statistics
Issue Date: February 13th 2019
Last modified: February 22nd 2019
Collaborative

Statistics on commuting: merging big data and official statistics

Using traffic sensor data targeting for commuting times and distance

SDG: 11 - Sustainable Cities & Communities

Project Sources
Project Sources
Type Of Institution: National statistical office
Big Data Source: Road sensor data, Public transport usage data
Region: Europe & Central Asia
Country Area: Finland
Id Country Regional: country
Partnerships
Partnerships
Data Providers: Cloud server provider
Other Partners: Government institute, Other
SDG Indicators
SDG Indicators
SDG: 11 - Sustainable Cities & Communities
Accessing Data
Accessing Data
Data Access Rights: Broader access rights
Data Access Comments: The access to the sensor data is given to the organisation itself.
Data Coverage
Data Coverage
Data Coverage: Only a portion of all data
Coverage Geo Pop: Whole country / high % of market
Cost Implication: Free
Coverage Period: It depends on the data in question.
Data Quality
Data Quality
Quality Aspects Evaluated: Privacy and Security, Completeness, Usability, Time Factors, Accessibility, Relevance, Validity, Accuracy, including selectivity, Coherence, including linkability to other sources
Validation Comments: In the drive time analysis Google Map's routing information has been used as if it were 'ground truth' or the best information available. However, models are not directly based on Google Map.
Data Quality Concerns Comments: The public transport data for the whole country does not cover all.
Methodology
Methodology
Methods Used: Traditional statistical methods, Data visualization methods
Technologies
Technologies
Technologies: GIS, Relational database, Data mining tools, Data visualization tools, Cloud services
Other
Other
Income Level: High-income
Iso: FI
Timeframe To Produce Indicator: NA
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