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Monitoring and the evaluation of any achanges made in the street is a vital part of Innovating Street projects.

If the right type of data is collected accurately, any project will be a success regardless of whether it fixes the problem you identified at the outset. The knowledge gained from analysing and acting on the data collected is itself a success. It will inform future changes at that site or when using that type of intervention.

Phase 3 is where the main part of monitoring, and the evaluation, takes place. However, the planning of your monitoring needs to be done in Phase 1. Phase 1 is where the data requirements will be identified through a monitoring plan (e.g. what is being measured to assess progress against the objectives). It is also when the base line or ‘before’ data is collected.

This section outlines some key monitoring and evaluation principles to maximise its usefulness and usability.

Phase 3: Outcome measurement

A range of outcome measures that might be relevant to tactical street projects, and how they might be assessed, are outlined below.

Evaluation Criterion Method of assessment Cost scale
Early public engagement outcomes Workshops, surveys, specialist software e.g. Maptionnaire, CitizenLab $$
Describing what was delivered Description based on project plans, photos etc $
Point traffic speed Speed tubes, loops, radar/laser gun $$
Traffic counts Speed tubes $$
Counting pedestrians and cyclists Direct observations/video/automatic counters $$
People interacting with the street changes e.g. Counting number of people who stop and sit at temporary seats in temporary Parklet. Direct observation/video $$
Interactions between road users Video coding/observations using pre-defined and tested coding protocol $$$
People’s comprehension of the changes and intended behaviour Surveys, focus groups, stakeholder meetings, ‘go along’ interviews $$$
Task analysis/verbal protocol analysis More in-depth analysis of use of street elements. E.g. person explains how they would use new bike parking and what the good and bad points are. $$
Citizen science tools e.g. Sensibel (real-time cycling satisfaction), Collab $$
Retail spend e.g. Paymark, foot-traffic entering shops audit $$$
Media; social media Content/narrative analysis; sentiment analysis $