WHAT: Self-report of cycling experiences from a trip, completed online by people from a target group of participants (by personal attribute or geographic area).
WHY: Build an understanding of existing cycling experiences and/or the infrastructure network in your context.
END GOAL: Develop a data-driven narrative of people's experiences to make arguments for human-centric design of the street and broader goals of encouraging everyday cycling.
To learn about the experiences of people in a given community.
To identify weaknesses of a cycling network, support ongoing efforts to strengthen it, and gather data to further develop encouragement strategies
Above: Respondents of the Online Journal
Find a balance between collecting small-scale personal cycling experiences and larger-scale data on a cycling network or target population as a whole.
Use in combination with other methods (e.g. stress mapping, analyzing crash data) to draw inferences.
Section of sample online journal- template available here (get access to duplicate via button in bottom right hand corner).
Some methods such as user experience mapping, detailed diaries, and autoethnography allow you to focus on an individual or a small group of people for granular information. This is important because it can provide deep insight, but the depth of these methods is harder to scale up and they are relatively time-consuming for the participant.
In contrast, this pre-structured and online version of journaling can be completed in 5-10 minutes after a bike ride and provides the researcher data points across a broader sample of participants. Questions can be tailored across contexts or groups of people to meet the researcher’s needs.
Image from Cycling Past 50 report by Carol Kachadoorian (journals analysis still in progress)
Above: Sample journal responses
In one example, practitioner Carol Kachadoorian used the method to gain a better understanding of older adult cyclists’ experiences in the US. A snapshot of her use of the method is above. You can adapt this to a specific target group of people you want to learn about or a specific geographic context (neighborhood, city, etc.).