Approach
Understanding the geographical (distances, density, car’s possession), sociodemographic (age, gender, presence of children), and psychological (intention, habits, self-efficacy) obstacles and levers to active and sustainable mobility (biking, walking, taking public transport, carpooling)
Goals
Understand mobility behavior (why and in which contexts individuals engage in active and sustainable mobility), a survey was conducted in France (500 respondents) and, 12 individual interviews were carried with mobility experts (researchers, mobility advisors, consultants, cycling policy officers)
Effectively promote active and sustainable mobility in urban contexts (in Grenoble - France)
Solution evaluated
Implement hard levers (new infrastructure, free transport, economic incentive) Implement soft levers (educating, habit formation, training, communication) Combining hard and soft levers using experimental methodologies (randomized controlled trials) to verify the efficacity of these interventions: Intermob is a randomized controlled intervention targeting active and sustainable mobility, we will combine hard (free access to public transport and bikes) and soft levers (habits’ formation, personalized transport advice, goal setting) and follow participants’ mobility behavior during 24 months (using accelerometers, GPS, surveys and travel diaries) Comments
why people changing commuting behaviour Context
Prevent non-transmissible diseases Diminish emissions of pollutants In France 63% of trips are made in car → pollute air + source of physical inactivity In France, 2.7% use bikes, 9.1% public transport and 23.5% are made by walk biking reduce CO2 emissions Solutions
Hard levers: Urban environment (e.g., development of bike express network, increased accessibility of ground transportation), Economical measures (financial assistance Or bonus; urban toll) Soft levers: Informational/'sensibilisation campaigns (e.g., benefits of bicycle, risks of car-use) Theory
Interventions on one-level factors: on hard lever Soft interventions: focus attitudes plan and reality are different (obstacle) No examination of why and when interventions are efficient does not know or understand the results Methodology
Rare evaluation of the effects of the intervention: No measurement Self-reported measures of mobility behaviors: Aims:
understand the factors behind the change in behavior and help them to switch to a better behaviour Understand mobility behavior : which geographical (density, distances, access to transports), sociodemographic (gender, age, presence of children) and psychological factors (intention, habits, self-efficacy) influence mobillity behavior Effectively promote active and sustainable mobility in urban contexts (in Grenoble - France) Change intervention
Do something to change behaviour: Perceived behavior control → do an individual has the skills or information to change Methodology
Geographical context (domicile's density, car's possession, transit pass, trip chaining, etc.) Sociodemographic context (gender, number of children, socioeconomic status, etc.) Psychological factors (intention towards active mobiity, self-efficacy, green identity, etc.) why people have different behaviour in commuting behaviour Randomized controlled behaviour change intervention Results
Hierarchical multiple linear regression analysis which factors are associated with active mobility Factor of active mobility Contexts obstructing active transport 400 participants (randomized in control group/intervention group) Habitual car drivers (at least 4 days a week) Between 18 and 70 years old Living and/or working in Grenoble Motivated to change of mobility 6 months of Free access to transport/bikes 6 months of Behavior change intervention Accelerometers (physical activity) Mobility diary + questionnaires Eight weeks spread over 24 months Evaluate the efficacity of our intervention (Kms driven by car, frequency of car use) To quantify the benefits of mobility change (physical activity, exposure to pollution, quality of life) To identify the levers and obstacles to mobility change Remarks
Questions during session
do you think that the psychological/motivational factors that you found for mobility would be the same for other activities (for example: have more healthy diets, change consumption patterns...)? Qu’elles sont les instruments de communication est ce qu’ils vont amener a changer leur comportement Percentage of active mobility → Do you have theoretical variables in your survey and do your data tells the story from a theoretical point of view The coefficients are quite low What is your control group?
Notes
Findings:
Thematic analysis: motivations, needed resources, obstacles, contexts obstructing active transport
=> why people chose active or passive methodology?
Next steps: randomized controlled intervention, with self-reported reports as well as pollution captors, GPS. They will be followed during 2 years.