Eirill Bø
Biographic Data
| ID | 1654500 |
|---|---|
| NAME | Eirill Bø |
| GIVEN NAMES | Eirill |
| FAMILY NAME | Bø |
| SIGNATURE | BØ E |
| AFFILIATIONS | BI Norwegian Business School |
| ORCID | 0000-0001-6746-3139 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
A triple-bottom-line evaluation of municipal solid waste collection
Unlocking the potential
This paper analyses the efficiency and carbon footprint of different last-mile delivery solutions, including parcel lockers, pick-up points, and home deliveries. A Decision Support Tool (DST) is developed, utilizing real data on parcel deliveries and time allocation. The DST distinguishes between fixed, variable, and salary costs, revealing that time spent on delivery tasks and associated salary costs are the primary cost drivers. Deliveries to p…
Can active follow-ups and carrots make eco-driving stick? Findings from a controlled experiment among truck drivers in Norway
This article presents results from a randomized controlled eco-driving experiment with differential treatment between two groups of truck drivers in Norway. Using data from in-vehicle devices, we investigate whether eco-driving interventions (a course, active monthly follow-ups, and non-monetary incentives) reduce fuel consumption by inducing more efficient driving behavior for drivers in a treatment group, compared to a control group. Hereby, we…
No prominent works on this page.
Can active follow-ups and carrots make eco-driving stick? Findings from a controlled experiment among truck drivers in Norway
This article presents results from a randomized controlled eco-driving experiment with differential treatment between two groups of truck drivers in Norway. Using data from in-vehicle devices, we investigate whether eco-driving interventions (a course, active monthly follow-ups, and non-monetary incentives) reduce fuel consumption by inducing more efficient driving behavior for drivers in a treatment group, compared to a control group. Hereby, we…
Unlocking the potential
This paper analyses the efficiency and carbon footprint of different last-mile delivery solutions, including parcel lockers, pick-up points, and home deliveries. A Decision Support Tool (DST) is developed, utilizing real data on parcel deliveries and time allocation. The DST distinguishes between fixed, variable, and salary costs, revealing that time spent on delivery tasks and associated salary costs are the primary cost drivers. Deliveries to p…
A triple-bottom-line evaluation of municipal solid waste collection
Engineering (3 works) · Computer Science (2 works) · Economics (2 works) · Environmental Science (2 works) · Transport engineering (2 works) · Advanced Manufacturing and Logistics Optimization (1 works) · Air Quality and Health Impacts (1 works) · Automotive Engineering (1 works) · Business (1 works) · Carbon Footprint (1 works)