Mobile and tablet apps, ubiquitous and pervasive computing, wearable computing and domotics for health.

In the last decade, the number of local energy initiatives (LEIs) has increased in western European countries. Although several success factors and barriers in the development of LEIs have been studied by other scholars, there has been limited scholarly interest in the overall impact of LEIs so far. Therefore, the aim of this study was to explore their impact by determining their achievement. Additionally, levels of engagement were used to categorise the success factors for and barriers that impede this impact. Initiatives in two provinces in the north of the Netherlands were studied. For the data collection, 84 in-depth interviews were conducted with the initiators of LEIs. In general, it can be concluded that the impact of LEIs is limited. Success factors and barriers in the development of LEIs play out at different levels of engagement: the level of the initiative itself; the community level; and the public–private level. Theoretically, this study provides empirical insights on how to measure the impact of LEIs. Furthermore, the study brings together a variety of factors that influence this impact based on the levels of engagement. Practically, this research offers indications on how to contribute to the further development of LEIs.

Participatory energy planning at the local level engages citizens, builds legitimacy and trust, and increases successful implementation of renewable energies. In the context of heat planning, technology choices highly vary depending on the local context and social conditions and including social input therefore benefits the planning process. This research adds to the current literature, which lacks concrete examples and verified approaches that clarify what the guiding principles of participatory energy planning are and how the opportunities and challenges can be dealt with. This paper elaborates on these opportunities and challenges and proposes a process design, using multiple tools (a survey, an Information-choice Questionnaire, and workshops) to collect the social input that is necessary to make technology choices in a participatory manner. The process design is applied and tested in a case study of a Dutch neighbourhood and lessons learned are drafted as a basis for further research.

BACKGROUND A lack of physical activity is considered to cause 6% of deaths globally. Feedback from wearables such as activity trackers has the potential to encourage daily physical activity. To date, little research is available on the natural development of adherence to activity trackers or on potential factors that predict which users manage to keep using their activity tracker during the first year (and thereby increasing the chance of healthy behavior change) and which users discontinue using their trackers after a short time. OBJECTIVE The aim of this study was to identify the determinants for sustained use in the first year after purchase. Specifically, we look at the relative importance of demographic and socioeconomic, psychological, health-related, goal-related, technological, user experience–related, and social predictors of feedback device use. Furthermore, this study tests the effect of these predictors on physical activity. METHODS A total of 711 participants from four urban areas in France received an activity tracker (Fitbit Zip) and gave permission to use their logged data. Participants filled out three Web-based questionnaires: at start, after 98 days, and after 232 days to measure the aforementioned determinants. Furthermore, for each participant, we collected activity data tracked by their Fitbit tracker for 320 days. We determined the relative importance of all included predictors by using Random Forest, a machine learning analysis technique. RESULTS The data showed a slow exponential decay in Fitbit use, with 73.9% (526/711) of participants still tracking after 100 days and 16.0% (114/711) of participants tracking after 320 days. On average, participants used the tracker for 129 days. Most important reasons to quit tracking were technical issues such as empty batteries and broken trackers or lost trackers (21.5% of all Q3 respondents, 130/601). Random Forest analysis of predictors revealed that the most influential determinants were age, user experience–related factors, mobile phone type, household type, perceived effect of the Fitbit tracker, and goal-related factors. We explore the role of those predictors that show meaningful differences in the number of days the tracker was worn. CONCLUSIONS This study offers an overview of the natural development of the use of an activity tracker, as well as the relative importance of a range of determinants from literature. Decay is exponential but slower than may be expected from existing literature. Many factors have a small contribution to sustained use. The most important determinants are technical condition, age, user experience, and goal-related factors. This finding suggests that activity tracking is potentially beneficial for a broad range of target groups, but more attention should be paid to technical and user experience–related aspects of activity trackers.

European policy ambitions and recent legislation have created new opportunities for energy communities (ECs) to expand their role in the energy transition. Such developments are often associated with acceleration processes. As ECs become more established, questions arise as to whether further development can be achieved by initiatives alone or whether it requires stronger forms of collective development. However, ECs often emphasize their local embeddedness. This study examines ECs’ perceived willingness and ability to contribute to collective development by exploring their sense of collectiveness, strategic visions, upscaling ambitions and perceived barriers. Based on interviews with 44 board members of 43 ECs and three intermediary representatives in Groningen, the Netherlands, four types of ECs were identified. Participating ECs differed substantially in their ambitions, orientations and involvement in collective development. Differences in ambitions, local embeddedness, organizational capacity, and future visions appear to complicate collective development and the emergence of a shared strategic vision. The findings indicate multiple pathways through which ECs may respond to conditions associated with acceleration. The study contributes to sustainability transition research by proposing collective development as an extension of network formation and highlighting how differences between ECs may shape their capacity and willingness to contribute to broader societal change.