6. 6
Pedestrians and cyclists are marginalized in
the data sphere
“Both modes [walking, cycling] have long lacked
predictive planning tools and are often [...] merely
treated as a combined remainder left over after
modelling motorised modes. This perpetuates a lack
of predictive data not similarly experienced in
planning public transport provision.”
Aldred et al. (2019: 156)
8. 8
In the 1960s planners viewed the car as the travel mode of the future, and swaths of the city were destroyed
to make way for motorised traffic. Photograph: Fotocollectie Anefo/Society for the Nationaal Archief
https://www.theguardian.com/cities/2015/may/05/amsterdam-bicycle-capital-world-transport-
cycling-kindermoord
9. 9
Data for providing an evidence base
Evaluation
From single use cases to representative
conclusions
Monitoring (KPIs)
Visibility » promotion of sustainable
mobility
16. 19
“More than half of the countries (18 out of 30)
mentioned difficulties when collecting active
modes data. In countries with a systematic data
collection structure, difficulties due to under
reporting and bias or partial data were
mentioned. In seven countries the lack of
systematic and consistent data collection is
mentioned, whilst three countries mention a
complete lack of data.”
Steenberghen et al. (2017: 15)