Motivation

• Trendy

• Cost-effective

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System variables​

• Influencers

• Social media

• Topography and urban density (minimal travel distance) cultural attitude towards active lifestyles (e.g. popularity of cycling as a sport or recreational pursuit)

• Climatic/weather conditions

• Financial incentives (e.g. road pricing)

• Integrated urban planning and local infrastructures (bicycle paths) combined with long distance trips solutions (public transport, train stations)

• Availability of cycling facilities along heavily travelled roads and at intersections

• Availability of sufficient parking spaces for bikes

• Clear information (signs/route) including maps

• Road safety

• Social instability and crime rates inciting people to travel mainly by car

• Case study: (Shaaban, 2020)

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Entries

• Stimulating innovation:

  • stimulate navigation app providers to enable better information provision (e.g. default-option for travels below 15 minutes to cycling/walking

  • innovative/improved options such as voice/AR

  • simplifying information about car impacts such as fuel costs/emissions)

  • stimulate development of light electric vehicles such as e-bikes and e-scooters​​

• Partnerships between government, municipalities and the business sector:

  • bicycle centers that facilitate and encourage cycling in cities and daily life

  • promote or subsidize bike-sharing initiatives

• Infrastructure improvements + urban/landscape design:

  • developing seasonal solutions (e.g. planting trees for shading) (Shaaban, 2020)

  • road and lane planning (traffic calming of residential neighbourhoods)

  • cycling facilities along heavily travelled roads and at intersections

  • parking spaces for bikes; clear information (signs/route)

• Regulating behaviour (by law): regulating traffic in towns by law forces people to consider different transport modes, but also makes roads safer for active transport modes

• Taxes/fees: higher car parking fees

• Information campaigns / education:

  • information campaigns to promote sustainable behaviors (Cornelius et al., 2014)

  • offering cycling training

• Nudging:

  • apps to encourage physical activity (e.g. Sweatcoin) (mixed evidence: Lehner et al., 2016)

  • feedback on transport use and mobility patterns (Lehner et al., 2016)

  • smartwatches that detect inactivity can promote physical activity and motivate people to engage in more active lifestyles that involve more active transport use (mixed evidence for effectiveness Lehner et al., 2016)

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Additional references

Cornelius et al. (2014)

Pierre et al. (2011)

Pucher & Buehler (2007)

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Related lifestyle scenario (Van den Berg, 2023)

Pocket Lifestyles​