Bicycling is an important mode of transport for cities and many cities are interested in promoting its uptake by a larger portion of the population. Several cycling mobile applications primarily rely on competition as a motivation strategy for urban cyclists. Yet, collaboration may be equally useful to motivate and engage cyclists. The present research reports on an experiment comparing the impact of collaboration-based and competition-based rewards on users’ enjoyment, satisfaction, engagement with, and intention to cycle. It involved a total of 57 participants in three European cities: Münster (Germany), Castelló (Spain), and Valletta (Malta). Our results show participants from the study reporting higher enjoyment and engagement with cycling in the collaboration condition. However, we did not find a significant impact on the participants’ worldview when it comes to the intentions to start or increase cycling behavior. The results support the use of collaboration-based rewards in the design of game-based applications to promote urban cycling.

Urban cycling is a sustainable transport mode that many cities are promoting. However, few cities are taking advantage of geospatial technologies to represent and analyse cycling mobility based on the behavioural patterns and difficulties faced by cyclists. This study analyses a geospatial dataset crowdsourced by urban cyclists using an experimental, mobile geo-game. Fifty-seven participants recorded bicycle trips during one week periods in three cities. By aggregating them, we extracted not only the cyclists’ preferred streets but also the frictions faced during cycling. We successfully identified 284 places potentially having frictions: 71 in Münster, Germany; 70 in Castelló, Spain; and 143 in Valletta, Malta. At such places, participants recorded bicycle segments at lower speeds indicating a deviation from an ideal cycling scenario. We describe the potential frictions inhibiting bicycle commuting with regard to the distance to bicycle paths, surrounding infrastructure, and location in the urban area.

Urban cycling is a sustainable transport mode that cities currently try to expand. However, cities still do not take advantage of geospatial technologies to understand cycling mobility based on the behavioural patterns and difficulties faced by cyclists. This study analyses a geospatial dataset crowdsourced by urban cyclists using an experimental geo-game. About 20 participants per city recorded bicycle trips during one week and, by aggregating them, we found not only the cyclists’ preferred streets but also the frictions faced during cycling. We successfully identified 284 places potentially having frictions: 71 in Münster, Germany; 70 in Castelló, Spain; and 143 in Valletta, Malta. At such places, Participants not only recorded bicycle trips but also segments at lower speeds indicating a deviation from an ideal cycling scenario. We described the potential frictions preventing from bicycle commuting based on the distance to bicycle paths, surrounding infrastructure, and location in the urban area.

Flooding is the most prevalent type of disaster globally with stronger impacts in low-developed areas, where the collection of up-to-date, high-quality, and representative data for flood risk management remains a challenge. Citizen science and participatory mapping methods have the potential to contribute to data acquisition to better inform flood scenario description and grassroots civic engagement and advocacy, overcoming the shortcomings of the lack of data. This paper aims to understand how citizen science can contribute to climate adaptation in Brazil. Factors affecting adaptation to extreme flooding events, i.e. I) official monitoring (presence of weather stations and historical numbers of flooding); II) proportion of municipalities’ urban areas mapped as in risk of flooding; III) existence of educational strategies in disaster risk prevention; and IV) citizen engagement with local data production are analysed to check if interactions between them may indicate where participatory adaptation could be more inclusive. This is done through an exploratory analysis that combines numerical analysis with geoprocessing techniques using official and citizen-generated data from the Waterproofing Data project. Despite the existing data gaps, results show that adaptation resources tend to be more abundant in bigger cities and municipalities that have historically been affected by floods. The study concludes that citizen-generated data can provide valuable insights into adaptation and resilience while complementing official data.