BiciZen: Lessons in the Development of a Crowdsourcing Mobile App to Make Cities More Bikeable

Journal of Participatory Research Methods, Journal Year: 2025, Volume and Issue: 6(1)

Published: March 11, 2025

Improving bikeability is an urban policy goal that cities are pursuing to reduce their transport-related carbon emissions. To support this goal, paper introduces BiciZen: a collaborative platform aims make and regions more bikeable. We describe the lessons learned from development of citizen science project. BiciZen mobile phone app allows users crowdsource information about cycling experiences suggest improvements infrastructure as well report positive experiences. open concerned cyclists, city planners researchers who wish document study phenomena, including patterns bicycle flows or participation in events. The process developing highlights critical trade-offs pertaining functionality, speed, cost, flexibility. found when deciding what include platform, interests researchers, leaders did not necessarily align. feedback processes valuable but highly resource intensive. Less than year after launch BiciZen, we find uptake has been highest low-cycling contexts driven mostly by small number super-users. data collected on will provide historical record incidents, events, commentary can be consulted all stakeholders, help advance co-creation realm active travel mobility.

Language: Английский

Driving into the future: A scoping review of smartwatch use for real-time driver monitoring

Transportation Research Interdisciplinary Perspectives, Journal Year: 2024, Volume and Issue: 25, P. 101098 - 101098

Published: April 23, 2024

The use of smartwatches has increased significantly in recent years for leisure, health, and research purposes. In the transport sector, facilitate cost-effective, unintrusive, dynamic monitoring driver's state behavior while on road. This scoping review aimed to analyze synthesize publications that have collected smartwatch data during driving examine condition, behavior, in-cabin activities, reactions. main objective was assess extent which been included driving-related studies, organize relevant literature thematically, identify issues arise collection analysis data. A conducted 76 eligible records were identified based framework provided by Arksey O'Malley. differed terms their purposes, number recruited participants, used, methodologies applied. Five themes literature: driver assessment, benchmark performance, assistance systems interventions, exogenous endogenous factors, detection events. confirms potential as a tool monitoring, goes beyond capabilities questionnaires. Some studies reported data-related problems, mainly related loss sweating. Future should adopt more comprehensive approach expanding narrow context task include measurements long-term health driver, such sleep, resting heart rate, physical activity.

Language: Английский