Preprint Open Access
Clean data for cleaner air? Case study research about data streams concerning low-emission zones and car-free zones
Heijlen, Roel; Crompvoets, Joep
The recent introduction of a low-emission zone and enlarged car-free zones in three Belgian cities led to the development of information systems processing data about vehicles, persons, companies and policy impact effects. The collection, analysis and use of these data brought up certain problems that needed to be solved. This case study research aims to categorize these problems using the sequential problem/solution-model. Furthermore, the research results help to explore some focus areas for a future data governance model in the public sector.
Files
(456.9 kB)
| Name | Size | |
|---|---|---|
|
Data_for_Policy_2017_paper_6.pdf
md5:115e7677654aed4aaeae95497bd66fd7 |
456.9 kB | Download |
279
105
views
downloads
| All versions | This version | |
|---|---|---|
| Views | 279 | 279 |
| Downloads | 105 | 105 |
| Data volume | 48.0 MB | 48.0 MB |
| Unique views | 254 | 254 |
| Unique downloads | 97 | 97 |
Indexed in
- Publication date:
- September 4, 2017
- DOI:
-
- Keyword(s):
- government databases data governance ANPR sequential problem/solution model
- Meeting:
- Data for Policy 2017: Government by Algorithm? (Data for Policy), London, 6-7 September, 2017
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International