| 1. |
- Bergh Alvergren, Victor, 1991, et al.
(författare)
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MeBeSafe Newsletter January 2020
- 2020
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Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
- The MeBeSafe project is entering its final year. The project aims to make traffic safer by soft measures, such as nudging and coaching. The newsletter describes the latest advancements in the project, including building the nudges in real life and testing on large amounts of people.
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| 2. |
- Bergh Alvergren, Victor, 1991, et al.
(författare)
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MeBeSafe Newsletter June 2020
- 2020
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Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
- The MeBeSafe project aims to make traffic safer by nudging and coaching measures. The penultimate newsletter decribes the various measures researched and how they work. This includes how to do interviews with people just passing by on the road, what really constitutes "good" driving, how truck drivers can help coach one another, how to nudge large amounts of cyclists. It also includes passages on nudging with privacy and how to use a nudge to merge traffic together.
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| 3. |
- Bergh Alvergren, Victor, 1991, et al.
(författare)
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MeBeSafe Newsletter November 2020
- 2020
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Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
- The last MeBeSafe Newsletter describes the nudges and other soft measures researched developed to make traffic safer, and the effect and impact they give rise to. This includes Flat lines to help cyclists use a safer speed and increase attention, Light patterns to make drivers slow down, Orderly things to increase distances between cars, Scores to increase distances between cars, Surprise rewards to make tired drivers stop, Real-time symbols to increase drivers' attention to cyclists, Coaching apps to help truck drivers coach themselves and Talking apps to coach drivers to use new features. It also includes research about how infrastructure acts as unintentional nudging, a Nudging Framework that can be used to develop more nudges in traffic, as well an an impact evaluation of the measures. Moreover, it includes personal statements from members of the research group.
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| 4. |
- Ljung Aust, Mikael, 1973, et al.
(författare)
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Final measures (Deliverable 5.5)
- 2020
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Rapport (övrigt vetenskapligt/konstnärligt)abstract
- The main objective of WP5 has been to run a set of field trials with naïve users (i.e. not experts involved in the development of the measures) for all nudging and coaching measures developed in WP2-4. Then, given the outcome of the field trials, the task has been to analyse which impacts these measures may have on road safety along with the cost of implementing them in vehicle fleets and/or infrastructure. All these activities have taken place in Tasks 5.4 (Data collection) and 5.6 (Data analysis).
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| 5. |
- Sjöblom, Cedrik, 1991, et al.
(författare)
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Cycling that makes sense - A qualitative exploration of cyclists’ perception of bicycle infrastructure
- 2021
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Ingår i: Proceedings from ICSC2021.
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Konferensbidrag (refereegranskat)abstract
- Bicycle infrastructure is in most cities a fairly recent addition and something that has, in many cases, been squeezed in where space has been available. Consequently, the properties of bike lanes differ a lot between different locations. An observation that is easy to make is that when bike lanes are wide, smooth, and straight, the variation in cyclists’ behaviour is low. When on the other hand there are lanes that disappear, that takes long detours, or are blocked for various reasons, cyclists start to act in a way that from an outsider perspective may look random or at least difficult to predict. This paper reports on a study where 17 cyclists have filmed their daily commute with GPS equipped action cameras. They then observed their film together with a researcher and explained how they perceive the route and how they make their choices in traffic. Based on the results of the study we present a tentative model of how cyclist behaviour can be predicted that can be used as a design tool when designing bicycle infrastructure or making changes to existing infrastructure. The model suggests that cyclist behaviour is affected by two sets of factors; physical factors that can be viewed as unintentional nudges associated with the environment, and subjective factors that are based on rational decisions by the individual cyclist.
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