Name
Title | ||
|---|---|---|
Prescriptive analytics in public-sector decision-making: A framework and insights from charging infrastructure planning |
Abstract | ||
|---|---|---|
•We develop a framework to assess public-sector prescriptive analytics initiatives.•Six guiding questions link analytics to value, legitimacy, and operational capacity.•We present an illustrative case study for public charge point placement.•Data-driven recommendations are projected to increase utilization by 15%.•Initiatives benefit from scale, entrepreneurial spirit and collaboration. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.ejor.2020.09.034 | European Journal of Operational Research |
Keywords | DocType | Volume |
Decision support systems,Public value,Prescriptive analytics,Smart city,Electric mobility | Journal | 291 |
Issue | ISSN | Citations |
1 | 0377-2217 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tobias Brandt | 1 | 77 | 17.84 |
| Sebastian Wagner | 2 | 17 | 3.94 |
| Dirk Neumann | 3 | 294 | 37.29 |