InterMob: a Randomized Controlled Trial Aimed at Reducing Car Use in Regular Car Users

Overview

Regular car use is a source of pollution and physical inactivity. InterMob is an interdisciplinary randomized controlled behavioral intervention aiming at reducing car use. The objectives of InterMob are to a) Evaluate the efficacy of a theory- and evidence-based intervention, b) Identify the mechanisms related mobility change, and c) Identify the conditions under which the intervention is effective. To meet these objectives, 300 regular car users living in Grenoble will be recruited and randomized in one of two arms: 1. experimental group that will receive the InterMob intervention: six months of free public transport/access to a bicycle, and behavior change techniques (personalized transport advice, setting of mobility change goals, considering possible obstacles; 6 months of motivational messages to prompt goal setting and self-monitoring). 2. active control group that will receive information about air pollution (discussion about the health consequences of air pollution, the association between air pollution and car use; 6 months of messages to prompt air pollution monitoring.) Follow-up measures will be carried out until 24 months after the beginning of the study (8-day measurement sessions). Five sessions will involve wearing a GPS/accelerometer, and an air pollution sensor. Participants will complete mobility logs and questionnaires measuring the psychological mechanisms related to their mobility (habits, intentions, self-efficacy), and socio-economical characteristics (number of children, accessibility) during the 8 sessions. The investigators hypothesize that the participants allocated to experimental group will reduce the car use and increase the use of alternative modes to the car (biking, walking, public transport, and carpooling) more than the participants of the control group, and that these changes will remain. The investigators hypothesize that mobility changes will be mediated by intention and self-efficacy. The investigators hypothesize that the efficacy of the intervention will be moderated by socio-spatial factors (number of children, travel distances) and psychological factors (self-control). The main criterion will be car use reduction and the use of alternative modes to the car. In addition, the investigators will assess physical activity (minutes of moderate-to-vigorous physical activity), the exposure to air pollution, the quality of life and the carbon footprint associated to transport.

Full Title of Study: “InterMob: a Randomized Controlled Trial Aimed at Reducing Car Use in Regular Car Users by Combining Hard and Soft Levers”

Study Type

  • Study Type: Interventional
  • Study Design
    • Allocation: Randomized
    • Intervention Model: Parallel Assignment
    • Primary Purpose: Prevention
    • Masking: Double (Participant, Outcomes Assessor)
  • Study Primary Completion Date: September 30, 2024

Detailed Description

Sample size : The investigators have calculated the sample size considering : – the proportion of trips made by car (49% of the trips made in Grenoble Metropole are made by car according to the EMD, 2010 which is the most recent survey in the area currently available), – the potential target population's transport behavior (a percentage of the population can be classified as reluctant drivers with positive attitudes toward other modes of transportation, this population makes 80% of their trips and could potentially reduce their car use to 64% considering the characteristics of the trips) – the impact of past interventions (car reduction of -17%, from 50% to 33% of car use, Brockman & Fox, 2011). The investigators considered a statistical power of 0.8, and a significance level of 0.05 for a proportion of 80% or 50% of trips made by car in the control group. In order to detect a difference of 15% when the share of trips made by car is reduced from 80% to 65% or from 50 to 35%, the investigators need 300 individuals (i.e., 150 individuals in each group).

Interventions

  • Behavioral: InterMob: a randomized controlled trial aimed at reducing car use in regular car users
    • Intermob is a theory- and evidence-based behavioral intervention that combines public transport/bicycle and motivational techniques (action planning, personalized transport advice, goal setting).
  • Other: Active control: Air pollution information
    • The active control intervention is based on a discussion about air pollution, the effects of air pollution on health, the association between air pollution and transport.

Arms, Groups and Cohorts

  • Experimental: InterMob: a behavioral and economical intervention
    • 6 months of free transport/bicycle (12.5 Adding objects in the BCT, Michie et al., 2011) Two meetings with a coach : st meeting: discussion about the motivations to change (motivational interviewing and 5.2 Salience of consequences, BCT), personalized advice of transport (4.1 Instruction on how to perform the behavior, BCT), mobility change goals, and action planning (1.1 Goal setting and 1.4 Action planning, BCT), solutions to possible obstacles (1.2 Problem solving, BCT) nd meeting: discussion about the goals and the obstacles lived and resolved. If needed, personalized transport advice is given. “Goals notebook” to fill up for 6 months (goals need to be set every 2 weeks and obstacles if experienced) Weekly SMS during 6 months, prompting a) to set and adapt goals (1.7 Review outcome, BCT) and b) to do a self-feedback related to mobility change (e.g. a more important well-being) (2.4 Self-monitoring of outcomes, BCT’s taxonomy)
  • Other: Air pollution information: an informational group
    • Active control group focused on air pollution information: Two meetings with a coach: st meeting: Discussion about air pollution (definition, sources, population most affected, levels in Grenoble, the consequences on health, pollution peaks), air pollution and car use (video about the pollution exposure of car drivers and the consequences of fine particles) and, a discussion about the benefit and disadvantages of using a car (5.2 Salience of consequences according to BCT’s taxonomy) nd meeting: Discussion about air quality during the last weeks and they check the quality of air of the last week. “Observation notebook” to fill up for 6 months (quality of air in Grenoble and the pollution peaks every 2 weeks) Weekly SMS during 6 months prompting a) to write down the air quality of the air every two weeks and b) write down any pollution peak announced in the television/radio/telephone

Clinical Trial Outcome Measures

Primary Measures

  • Changes in car use from the baseline and the beginning of the intervention (one month after the beginning of the intervention, Month 1)
    • Time Frame: Baseline and one month and a half after the baseline (Month 1)
    • Car use (kilometers traveled and modal share) will be measured using the GPS tracks collected by a GPS device (SenseDoc) and by calculating the variables of interest from the information mentioned in the travel diary. The GPS device is used during 9 days each and the travel diary is filled up during 8 days
  • Changes in car use from the baseline and half of the intervention (Month 3)
    • Time Frame: Baseline, and three months after the baseline (Month 3)
    • Car use (kilometers traveled and modal share) will be measured using the GPS tracks collected by a GPS device (SenseDoc) and by calculating the variables of interest from the information mentioned in the travel diary. The GPS device is used during 9 days each and the travel diary is filled up during 8 days
  • Changes in car use from the baseline the end of the intervention (Month 7)
    • Time Frame: Baseline and seven months after the baseline (Month 7)
    • Car use (kilometers traveled and modal share) will be measured using the GPS tracks collected by a GPS device (SenseDoc) and by calculating the variables of interest from the information mentioned in the travel diary. The GPS device is used during 9 days each and the travel diary is filled up during 8 days
  • Changes in car use from the baseline and two months after the end of the intervention (Month 9)
    • Time Frame: Baseline and nine months after the baseline (Month 9)
    • Car use (kilometers traveled and modal share) will be measured by calculating the variables of interest from the information mentioned in the travel diary. Travel diary is filled up during 8 days
  • Changes in car use from the baseline and six months after the end of the intervention (Month 12)
    • Time Frame: Baseline and one year after the baseline (Month 12)
    • Car use (kilometers traveled and modal share) will be measured by calculating the variables of interest from the information mentioned in the travel diary. Travel diary is filled up during 8 days
  • Changes in car use from the baseline and one year after the end of the intervention (Month 18)
    • Time Frame: Baseline and one year and a half after the baseline (Month 18)
    • Car use (kilometers traveled and modal share) will be measured using the GPS tracks collected by a GPS device (SenseDoc) and by calculating the variables of interest from the information mentioned in the travel diary. The GPS device is used during 9 days each and the travel diary is filled up during 8 days
  • Changes in car use from the baseline and one year and a half after the end of the intervention (Month 24)
    • Time Frame: Baseline and two years after the baseline (Month 24)
    • Car use (kilometers traveled and modal share) will be measured by calculating the variables of interest from the information mentioned in the travel diary. Travel diary is filled up during 8 days

Secondary Measures

  • Changes in active commuting (classic or electric bike, public transport, walk, carpooling) from the baseline and and the beginning of the intervention (one month after the beginning of the intervention, Month 1)
    • Time Frame: Baseline and one month and a half after the baseline (Month 1)
    • Active commuting will be measured using the GPS tracks and by calculating the variables of interest from travel diary (kilometers traveled, modal share). The GPS device is used during 9 days each and the travel diary is filled up during 8 days.
  • Changes in active commuting (classic or electric bike, public transport, walk, carpooling) from the baseline and the half of the intervention (Month 3)
    • Time Frame: Baseline, and three months after the baseline (Month 3)
    • Active commuting will be measured using the GPS tracks and by calculating the variables of interest from travel diary (kilometers traveled, modal share). The GPS device is used during 9 days each and the travel diary is filled up during 8 days.
  • Changes in active commuting (classic or electric bike, public transport, walk, carpooling) from the baseline and the end of the intervention (Month 7)
    • Time Frame: Baseline, and seven month after the baseline (Month 7)
    • Active commuting will be measured using the GPS tracks and by calculating the variables of interest from travel diary (kilometers traveled, modal share). The GPS device is used during 9 days each and the travel diary is filled up during 8 days.
  • Changes in active commuting (classic or electric bike, public transport, walk, carpooling) from the baseline and two months after the end of the intervention (Month 9)
    • Time Frame: Baseline, and nine months after the baseline (Month 9)
    • Active commuting will be measured by calculating the variables of interest from travel diary (kilometers traveled, modal share). The GPS device is used during 9 days each and the travel diary is filled up during 8 days.
  • Changes in active commuting (classic or electric bike, public transport, walk, carpooling) from the baseline and six months after the end of the intervention (Month 12)
    • Time Frame: Baseline, and one year after the baseline (Month 12)
    • Active commuting will be measured by calculating the variables of interest from travel diary (kilometers traveled, modal share). The GPS device is used during 9 days each and the travel diary is filled up during 8 days.
  • Changes in active commuting (classic or electric bike, public transport, walk, carpooling) from the baseline and one year after the end of the intervention (Month 18)
    • Time Frame: Baseline, and one year and a half after the baseline (Month 18)
    • Active commuting will be measured using the GPS tracks and by calculating the variables of interest from travel diary (kilometers traveled, modal share). The GPS device is used during 9 days each and the travel diary is filled up during 8 days.
  • Changes in active commuting (classic or electric bike, public transport, walk, carpooling) from the baseline and one year and a half after the end of the intervention (Month 24)
    • Time Frame: Baseline, and two years after the baseline (Month 24)
    • Active commuting will be measured by calculating the variables of interest from travel diary (kilometers traveled, modal share). The GPS device is used during 9 days each and the travel diary is filled up during 8 days.
  • Changes in minutes of moderate-to-vigorous physical activity (MVPA) from the baseline and and the beginning of the intervention (one month after the beginning of the intervention, Month 1)
    • Time Frame: Baseline and one month and a half after the baseline (Month 1)
    • MVPA will be assessed by a tri-axial accelerometer (SenseDoc) with measurement frequency of 60 Hz during 9 days by the IPAQ (International Physical Activity Questionnaire) filled up once for the whole last week
  • Changes in minutes of moderate-to-vigorous physical activity (MVPA) from the baseline and the half of the intervention (Month 3)
    • Time Frame: Baseline, and three months after the baseline (Month 3)
    • MVPA will be assessed by a tri-axial accelerometer (SenseDoc) with measurement frequency of 60 Hz during 9 days by the IPAQ (International Physical Activity Questionnaire) filled up once for the whole last week
  • Changes in minutes of moderate-to-vigorous physical activity (MVPA) from the baseline and the end of the intervention (Month 7)
    • Time Frame: Baseline, and seven month after the baseline (Month 7)
    • MVPA will be assessed by a tri-axial accelerometer (SenseDoc) with measurement frequency of 60 Hz during 9 days by the IPAQ (International Physical Activity Questionnaire) filled up once for the whole last week
  • Changes in minutes of moderate-to-vigorous physical activity (MVPA) from the baseline and two months after the end of the intervention (Month 9)
    • Time Frame: Baseline, and nine months after the baseline (Month 9)
    • MVPA will be assessed by the IPAQ (International Physical Activity Questionnaire) filled up once for the whole last week
  • Changes in minutes of moderate-to-vigorous physical activity (MVPA) from the baseline and six months after the end of the intervention (Month 12)
    • Time Frame: Baseline, and one year after the baseline (Month 12)
    • MVPA will be assessed by the IPAQ (International Physical Activity Questionnaire) filled up once for the whole last week
  • Changes in minutes of moderate-to-vigorous physical activity (MVPA) from the baseline and one year after the end of the intervention (Month 18)
    • Time Frame: Baseline, and one year and a half after the baseline (Month 18)
    • MVPA will be assessed by a tri-axial accelerometer (SenseDoc) with measurement frequency of 60 Hz during 9 days by the IPAQ (International Physical Activity Questionnaire) filled up once for the whole last week
  • Changes in minutes of moderate-to-vigorous physical activity (MVPA) from the baseline and one year and a half after the end of the intervention (Month 24)
    • Time Frame: Baseline, and two years after the baseline (Month 24)
    • MVPA will be assessed by the IPAQ (International Physical Activity Questionnaire) filled up once for the whole last week
  • Changes in exposure to air quality from the baseline and the end of the intervention (Month 7)
    • Time Frame: Baseline, and seven month after the baseline (Month 7)
    • Exposure to air quality will be measured by the assessment of the concentration and composition of fine particles using a pollution captor (MicroPEMTM) during 8 days
  • Changes in exposure to air quality from the baseline and one year after the end of the intervention (Month 18)
    • Time Frame: Baseline, and one year and a half after the baseline (Month 18)
    • Exposure to air quality will be measured by the assessment of the concentration and composition of fine particles using a pollution captor (MicroPEMTM) during 8 days
  • Changes in self-reported quality of life from the baseline and the half of the intervention (Month 3)
    • Time Frame: Baseline, and three months after the baseline (Month 3)
    • Self-reported quality of life via questionnaire SF-12 (scale from 1 poor health to 5 good health)
  • Changes in self-reported quality of life from the baseline and the end of the intervention (Month 7)
    • Time Frame: Baseline, and seven month after the baseline (Month 7)
    • SSelf-reported quality of life via questionnaire SF-12 (scale from 1 poor health to 5 good health)
  • Changes in self-reported quality of life from the baseline and six months after the end of the intervention (Month 12)
    • Time Frame: Baseline, and one year after the baseline (Month 12)
    • Self-reported quality of life via questionnaire SF-12 (scale from 1 poor health to 5 good health)
  • Changes in self-reported quality of life from the baseline and one year and a half after the end of the intervention (Month 24)
    • Time Frame: Baseline, and two years after the baseline (Month 24)
    • Self-reported quality of life via questionnaire SF-12 (scale from 1 poor health to 5 good health)
  • Changes in self-reported biometrics from the baseline and and the beginning of the intervention (one month after the beginning of the intervention, Month 1)
    • Time Frame: Baseline and one month and a half after the baseline (Month 1)
    • Self-reported biometrics via biometric questionnaire
  • Changes in self-reported biometrics from the baseline and the half of the intervention (Month 3)
    • Time Frame: Baseline, and three months after the baseline (Month 3)
    • Self-reported biometrics via biometric questionnaire
  • Changes in self-reported biometrics from the baseline and the end of the intervention (Month 7)
    • Time Frame: Baseline, and seven month after the baseline (Month 7)
    • Self-reported biometrics via biometric questionnaire
  • Changes in self-reported biometrics from the baseline and one year after the end of the intervention (Month 18)
    • Time Frame: Baseline, and one year and a half after the baseline (Month 18)
    • Self-reported biometrics via biometric questionnaire
  • Motivational stage from the baseline and the end of the intervention (Month 7)
    • Time Frame: Baseline, and seven month after the baseline (Month 7)
    • Motivational stage via a Stage-of-change questionnaire (Biehl et al., 2018)
  • Motivational stage from the baseline and six months after the end of the intervention (Month 12)
    • Time Frame: Baseline, and one year after the baseline (Month 12)
    • Motivational stage via a Stage-of-change questionnaire (Biehl et al., 2018) (three questions that allow to classifie the people in precontemplation, contemplation, preparation, action, maintenance)
  • Motivational stage from the baseline and one year after the end of the intervention (Month 18)
    • Time Frame: Baseline, and one year and a half after the baseline (Month 18)
    • Motivational stage via a Stage-of-change questionnaire (Biehl et al., 2018) (three questions that allow to classifie the people in precontemplation, contemplation, preparation, action, maintenance)
  • Motivational stage from the baseline and one year and a half after the end of the intervention (Month 24)
    • Time Frame: Baseline, and two years after the baseline (Month 24)
    • Motivational stage via a Stage-of-change questionnaire (Biehl et al., 2018) (three questions that allow to classifie the people in precontemplation, contemplation, preparation, action, maintenance)
  • Green self-identity from the baseline and the end of the intervention (Month 7)
    • Time Frame: Baseline, and seven month after the baseline (Month 7)
    • Green self-identity via green self-identity (Lalot et al. 2019) (scale from 1, Very much disagree and 7, strongly agree) to measure the strength of green self-identity
  • Green self-identity from the baseline and six months after the end of the intervention (Month 12)
    • Time Frame: Baseline, and one year after the baseline (Month 12)
    • Green self-identity via green self-identity (Lalot et al. 2019) (scale from 1, Very much disagree and 7, strongly agree) to measure the strength of green self-identity
  • Green self-identity from the baseline and one year after the end of the intervention (Month 18)
    • Time Frame: Baseline, and one year and a half after the baseline (Month 18)
    • Green self-identity via green self-identity (Lalot et al. 2019) (scale from 1, Very much disagree and 7, strongly agree) to measure the strength of green self-identity
  • Green self-identity from the baseline and one year and a half after the end of the intervention (Month 24)
    • Time Frame: Baseline, and two years after the baseline (Month 24)
    • Green self-identity via green self-identity (Lalot et al. 2019) (scale from 1, Very much disagree and 7, strongly agree) to measure the strength of green self-identity
  • Changes in habits of alternative modes to the car and car use from the baseline and and the beginning of the intervention (one month after the beginning of the intervention, Month 1)
    • Time Frame: Baseline and one month and a half after the baseline (Month 1)
    • Habits of alternative modes to the car and car use via self-report habit index (Gardner et al., 2012) (scale from 1, Very much disagree and 7, strongly agree) to measure the strength of habit
  • Changes in habits of alternative modes to the car and car use from the baseline and the half of the intervention (Month 3)
    • Time Frame: Baseline, and three months after the baseline (Month 3)
    • Habits of alternative modes to the car and car use via self-report habit index (Gardner et al., 2012)(scale from 1, Very much disagree and 7, strongly agree) to measure the strength of habit
  • Changes in habits of alternative modes to the car and car use from the baseline and the end of the intervention (Month 7)
    • Time Frame: Baseline, and seven month after the baseline (Month 7)
    • Habits of alternative modes to the car and car use via self-report habit index (Gardner et al., 2012) (scale from 1, Very much disagree and 7, strongly agree) to measure the strength of habit
  • Changes in habits of alternative modes to the car and car use from the baseline and two months after the end of the intervention (Month 9)
    • Time Frame: Baseline, and nine months after the baseline (Month 9)
    • Habits of alternative modes to the car and car use via self-report habit index (Gardner et al., 2012) (scale from 1, Very much disagree and 7, strongly agree) to measure the strength of habit
  • Changes in habits of alternative modes to the car and car use from the baseline and six months after the end of the intervention (Month 12)
    • Time Frame: Baseline, and one year after the baseline (Month 12)
    • Habits of alternative modes to the car and car use via self-report habit index (Gardner et al., 2012)
  • Changes in habits of alternative modes to the car and car use from the baseline and one year after the end of the intervention (Month 18)
    • Time Frame: Baseline, and one year and a half after the baseline (Month 18)
    • Habits of alternative modes to the car and car use via self-report habit index (Gardner et al., 2012) (scale from 1, Very much disagree and 7, strongly agree) to measure the strength of habit
  • Changes in habits of alternative modes to the car and car use from the baseline and one year and a half after the end of the intervention (Month 24)
    • Time Frame: Baseline, and two years after the baseline (Month 24)
    • Habits of alternative modes to the car and car use via self-report habit index (Gardner et al., 2012) (scale from 1, Very much disagree and 7, strongly agree) to measure the strength of habit
  • Changes in intention toward alternative modes to the car and car use from the baseline and and the beginning of the intervention (one month after the beginning of the intervention, Month 1)
    • Time Frame: Baseline and one month and a half after the baseline (Month 1)
    • Intention toward alternative modes to the car and car use via intention questionnaire (Godin, 2012)
  • Changes in intention toward alternative modes to the car and car use from the baseline and the half of the intervention (Month 3)
    • Time Frame: Baseline, and three months after the baseline (Month 3)
    • Intention toward alternative modes to the car and car use via intention questionnaire (Godin, 2012) (scale from 1, Very much disagree and 7, strongly agree) to measure the strength of intention
  • Changes in intention toward alternative modes to the car and car use from the baseline and the end of the intervention (Month 7)
    • Time Frame: Baseline, and seven month after the baseline (Month 7)
    • Intention toward alternative modes to the car and car use via intention questionnaire (Godin, 2012) (scale from 1, Very much disagree and 7, strongly agree) to measure the strength of intention
  • Changes in intention toward alternative modes to the car and car use from the baseline and two months after the end of the intervention (Month 9)
    • Time Frame: Baseline, and nine months after the baseline (Month 9)
    • Intention toward alternative modes to the car and car use via intention questionnaire (Godin, 2012) (scale from 1, Very much disagree and 7, strongly agree) to measure the strength of intention
  • Changes in intention toward alternative modes to the car and car use from the baseline and six months after the end of the intervention (Month 12)
    • Time Frame: Baseline, and one year after the baseline (Month 12)
    • Intention toward alternative modes to the car and car use via intention questionnaire (Godin, 2012) (scale from 1, Very much disagree and 7, strongly agree) to measure the strength of intention
  • Changes in intention toward alternative modes to the car and car use from the baseline and one year after the end of the intervention (Month 18)
    • Time Frame: Baseline, and one year and a half after the baseline (Month 18)
    • Intention toward alternative modes to the car and car use via intention questionnaire (Godin, 2012)(scale from 1, Very much disagree and 7, strongly agree) to measure the strength of intention
  • Changes in intention toward alternative modes to the car and car use from the baseline and one year and a half after the end of the intervention (Month 24)
    • Time Frame: Baseline, and two years after the baseline (Month 24)
    • Intention toward alternative modes to the car and car use via intention questionnaire (Godin, 2012) (scale from 1, Very much disagree and 7, strongly agree) to measure the strength of intention
  • Changes in self-efficacy for alternative modes and for the car from the baseline and and the beginning of the intervention (one month after the beginning of the intervention, Month 1)
    • Time Frame: Baseline and one month and a half after the baseline (Month 1)
    • Self-efficacy for alternative modes and for the car via self-efficacy questionnaire (Schwarzer et al., 2015) (scale from 1, Very much disagree and 7, strongly agree) to measure the strength of self-efficacy
  • Changes in self-efficacy for alternative modes and for the car from the baseline and the half of the intervention (Month 3)
    • Time Frame: Baseline, and three months after the baseline (Month 3)
    • Self-efficacy for alternative modes and for the car via self-efficacy questionnaire (Schwarzer et al., 2015)(scale from 1, Very much disagree and 7, strongly agree) to measure the strength of self-efficacy
  • Changes in self-efficacy for alternative modes and for the car from the baseline and the end of the intervention (Month 7)
    • Time Frame: Baseline, and seven month after the baseline (Month 7)
    • Self-efficacy for alternative modes and for the car via self-efficacy questionnaire (Schwarzer et al., 2015) (scale from 1, Very much disagree and 7, strongly agree) to measure the strength of self-efficacy
  • Changes in self-efficacy for alternative modes and for the car from the baseline and two months after the end of the intervention (Month 9)
    • Time Frame: Baseline, and nine months after the baseline (Month 9)
    • Self-efficacy for alternative modes and for the car via self-efficacy questionnaire (Schwarzer et al., 2015) (scale from 1, Very much disagree and 7, strongly agree) to measure the strength of self-efficacy
  • Changes in self-efficacy for alternative modes and for the car from the baseline and six months after the end of the intervention (Month 12)
    • Time Frame: Baseline, and one year after the baseline (Month 12)
    • Self-efficacy for alternative modes and for the car via self-efficacy questionnaire (Schwarzer et al., 2015) (scale from 1, Very much disagree and 7, strongly agree) to measure the strength of self-efficacy
  • Changes in self-efficacy for alternative modes and for the car from the baseline and one year after the end of the intervention (Month 18)
    • Time Frame: Baseline, and one year and a half after the baseline (Month 18)
    • Self-efficacy for alternative modes and for the car via self-efficacy questionnaire (Schwarzer et al., 2015) (scale from 1, Very much disagree and 7, strongly agree) to measure the strength of self-efficacy
  • Changes in self-efficacy for alternative modes and for the car from the baseline and one year and a half after the end of the intervention (Month 24)
    • Time Frame: Baseline, and two years after the baseline (Month 24)
    • Self-efficacy for alternative modes and for the car via self-efficacy questionnaire (Schwarzer et al., 2015) (scale from 1, Very much disagree and 7, strongly agree) to measure the strength of self-efficacy
  • Changes in intention implementation from the baseline and and the beginning of the intervention (one month after the beginning of the intervention, Month 1)
    • Time Frame: Baseline and one month and a half after the baseline (Month 1)
    • Intention implementation via intention implementation questionnaire (Godin, 2012) (scale from 1, Very much disagree and 7, strongly agree) to measure the strength of intention implementation
  • Changes in intention implementation from the baseline and the half of the intervention (Month 3)
    • Time Frame: Baseline, and three months after the baseline (Month 3)
    • Intention implementation via intention implementation questionnaire (Godin, 2012)(scale from 1, Very much disagree and 7, strongly agree) to measure the strength of intention implementation
  • Changes in intention implementation from the baseline and the end of the intervention (Month 7)
    • Time Frame: Baseline, and seven month after the baseline (Month 7)
    • Intention implementation via intention implementation questionnaire (Godin, 2012)(scale from 1, Very much disagree and 7, strongly agree) to measure the strength of intention implementation
  • Changes in intention implementation from the baseline and two months after the end of the intervention (Month 9)
    • Time Frame: aseline, and nine months after the baseline (Month 9)
    • Intention implementation via intention implementation questionnaire (Godin, 2012)(scale from 1, Very much disagree and 7, strongly agree) to measure the strength of intention implementation
  • Changes in intention implementation from the baseline and six months after the end of the intervention (Month 12)
    • Time Frame: Baseline, and one year after the baseline (Month 12)
    • Intention implementation via intention implementation questionnaire (Godin, 2012)(scale from 1, Very much disagree and 7, strongly agree) to measure the strength of intention implementation
  • Changes in intention implementation from the baseline and one year after the end of the intervention (Month 18)
    • Time Frame: Baseline, and one year and a half after the baseline (Month 18)
    • Intention implementation via intention implementation questionnaire (Godin, 2012) (scale from 1, Very much disagree and 7, strongly agree) to measure the strength of intention implementation
  • Changes in intention implementation from the baseline and one year and a half after the end of the intervention (Month 24)
    • Time Frame: Baseline, and two years after the baseline (Month 24)
    • Intention implementation via intention implementation questionnaire (Godin, 2012) (scale from 1, Very much disagree and 7, strongly agree) to measure the strength of intention implementation
  • Changes in attitudes toward alternative modes to the car and toward car use from the baseline and and the beginning of the intervention (one month after the beginning of the intervention, Month 1)
    • Time Frame: Baseline and one month and a half after the baseline (Month 1)
    • Attitudes toward alternative modes to the car and toward car use via attitudes questionnaire (Godin, 2012) (scale from 1, Very much disagree and 7, strongly agree) to measure the strength of positive or negative attitudes
  • Changes in attitudes toward alternative modes to the car and toward car use from the baseline and the half of the intervention (Month 3)
    • Time Frame: Baseline, and three months after the baseline (Month 3)
    • Attitudes toward alternative modes to the car and toward car use via attitudes questionnaire (Godin, 2012) (scale from 1, Very much disagree and 7, strongly agree) to measure the strength of positive or negative attitudes
  • Changes in attitudes toward alternative modes to the car and toward car use from the baseline and the end of the intervention (Month 7)
    • Time Frame: Baseline, and seven month after the baseline (Month 7)
    • Attitudes toward alternative modes to the car and toward car use via attitudes questionnaire (Godin, 2012) (scale from 1, Very much disagree and 7, strongly agree) to measure the strength of positive or negative attitudes
  • Changes in attitudes toward alternative modes to the car and toward car use from the baseline and two months after the end of the intervention (Month 9)
    • Time Frame: Baseline, and nine months after the baseline (Month 9)
    • Attitudes toward alternative modes to the car and toward car use via attitudes questionnaire (Godin, 2012) (scale from 1, Very much disagree and 7, strongly agree) to measure the strength of positive or negative attitudes
  • Changes in attitudes toward alternative modes to the car and toward car use from the baseline and six months after the end of the intervention (Month 12)
    • Time Frame: Baseline, and one year after the baseline (Month 12)
    • Attitudes toward alternative modes to the car and toward car use via attitudes questionnaire (Godin, 2012) (scale from 1, Very much disagree and 7, strongly agree) to measure the strength of positive or negative attitudes
  • Changes in attitudes toward alternative modes to the car and toward car use from the baseline and one year after the end of the intervention (Month 18)
    • Time Frame: Baseline, and one year and a half after the baseline (Month 18)
    • Attitudes toward alternative modes to the car and toward car use via attitudes questionnaire (Godin, 2012) (scale from 1, Very much disagree and 7, strongly agree) to measure the strength of positive or negative attitudes
  • Changes in attitudes toward alternative modes to the car and toward car use from the baseline and one year and a half after the end of the intervention (Month 24)
    • Time Frame: Baseline, and two years after the baseline (Month 24)
    • Attitudes toward alternative modes to the car and toward car use via attitudes questionnaire (Godin, 2012) (scale from 1, Very much disagree and 7, strongly agree) to measure the strength of positive or negative attitudes
  • Changes in perceived susceptibility and perceived severity of getting coronavirus disease from the baseline and and the beginning of the intervention (one month after the beginning of the intervention, Month 1)
    • Time Frame: Baseline and one month and a half after the baseline (Month 1)
    • Perceived susceptibility and perceived severity of getting coronavirus disease via perceived risks questionnaire (Nexøe et al., 1999) (scale from 1, Very much disagree and 7, strongly agree) to measure the strength of perceived risks of getting COVID
  • Changes in perceived susceptibility and perceived severity of getting coronavirus disease from the baseline and the half of the intervention (Month 3)
    • Time Frame: Baseline, and three months after the baseline (Month 3)
    • Perceived susceptibility and perceived severity of getting coronavirus disease via perceived risks questionnaire (Nexøe et al., 1999)(scale from 1, Very much disagree and 7, strongly agree) to measure the strength of perceived risks of getting COVID
  • Changes in perceived susceptibility and perceived severity of getting coronavirus disease from the baseline and the end of the intervention (Month 7)
    • Time Frame: Baseline, and seven month after the baseline (Month 7)
    • Perceived susceptibility and perceived severity of getting coronavirus disease via perceived risks questionnaire (Nexøe et al., 1999)(scale from 1, Very much disagree and 7, strongly agree) to measure the strength of perceived risks of getting COVID
  • Changes in perceived susceptibility and perceived severity of getting coronavirus disease from the baseline and two months after the end of the intervention (Month 9)
    • Time Frame: Baseline, and nine months after the baseline (Month 9)
    • Perceived susceptibility and perceived severity of getting coronavirus disease via perceived risks questionnaire (Nexøe et al., 1999)(scale from 1, Very much disagree and 7, strongly agree) to measure the strength of perceived risks of getting COVID
  • Changes in perceived susceptibility and perceived severity of getting coronavirus disease from the baseline and six months after the end of the intervention (Month 12)
    • Time Frame: Baseline, and one year after the baseline (Month 12)
    • Perceived susceptibility and perceived severity of getting coronavirus disease via perceived risks questionnaire (Nexøe et al., 1999)(scale from 1, Very much disagree and 7, strongly agree) to measure the strength of perceived risks of getting COVID
  • Changes in perceived susceptibility and perceived severity of getting coronavirus disease from the baseline and one year after the end of the intervention (Month 18)
    • Time Frame: Baseline, and one year and a half after the baseline (Month 18)
    • Perceived susceptibility and perceived severity of getting coronavirus disease via perceived risks questionnaire (Nexøe et al., 1999)(scale from 1, Very much disagree and 7, strongly agree) to measure the strength of perceived risks of getting COVID
  • Changes in perceived susceptibility and perceived severity of getting coronavirus diseasefrom the baseline and one year and a half after the end of the intervention (Month 24)
    • Time Frame: Baseline, and two years after the baseline (Month 24)
    • Perceived susceptibility and perceived severity of getting coronavirus disease via perceived risks questionnaire (Nexøe et al., 1999)(scale from 1, Very much disagree and 7, strongly agree) to measure the strength of perceived risks of getting COVID
  • Changes in subjective norms toward alternative modes to the car and car use from the baseline and and the beginning of the intervention (one month after the beginning of the intervention, Month 1)
    • Time Frame: Baseline and one month and a half after the baseline (Month 1)
    • Subjective norms toward alternative modes to the car and car use via subjective norms questionnaire(Godin, 2012)(scale from 1, Very much disagree and 7, strongly agree) to measure the strength of subjective norms
  • Changes in subjective norms toward alternative modes to the car and car use from the baseline and the half of the intervention (Month 3)
    • Time Frame: Baseline, and three months after the baseline (Month 3)
    • Subjective norms toward alternative modes to the car and car use via subjective norms questionnaire(Godin, 2012) (scale from 1, Very much disagree and 7, strongly agree) to measure the strength of subjective norms
  • Changes in subjective norms toward alternative modes to the car and car use from the baseline and the end of the intervention (Month 7)
    • Time Frame: Baseline, and seven month after the baseline (Month 7)
    • Subjective norms toward alternative modes to the car and car use via subjective norms questionnaire(Godin, 2012)(scale from 1, Very much disagree and 7, strongly agree) to measure the strength of subjective norms
  • Changes in subjective norms toward alternative modes to the car and car use from the baseline and two months after the end of the intervention (Month 9)
    • Time Frame: aseline, and nine months after the baseline (Month 9)
    • Subjective norms toward alternative modes to the car and car use via subjective norms questionnaire(Godin, 2012)(scale from 1, Very much disagree and 7, strongly agree) to measure the strength of subjective norms
  • Changes in subjective norms toward alternative modes to the car and car use from the baseline and six months after the end of the intervention (Month 12)
    • Time Frame: Baseline, and one year after the baseline (Month 12)
    • Subjective norms toward alternative modes to the car and car use via subjective norms questionnaire(Godin, 2012)(scale from 1, Very much disagree and 7, strongly agree) to measure the strength of subjective norms
  • Changes in subjective norms toward alternative modes to the car and car use from the baseline and one year after the end of the intervention (Month 18)
    • Time Frame: Baseline, and one year and a half after the baseline (Month 18)
    • Subjective norms toward alternative modes to the car and car use via subjective norms questionnaire(Godin, 2012)(scale from 1, Very much disagree and 7, strongly agree) to measure the strength of subjective norms
  • Changes in subjective norms toward alternative modes to the car and car use from the baseline and one year and a half after the end of the intervention (Month 24)
    • Time Frame: Baseline, and two years after the baseline (Month 24)
    • Subjective norms toward alternative modes to the car and car use via subjective norms questionnaire(Godin, 2012)(scale from 1, Very much disagree and 7, strongly agree) to measure the strength of subjective norms
  • Changes in carbon footprint associated to transport
    • Time Frame: To be defined
    • Carbon footprint associated to transport will be calculated considering the motorization (and type of car), kilometers traveled by car, and the use of alternative modes to the car

Participating in This Clinical Trial

Inclusion Criteria

  • Being at least 18 years old at the time of inclusion • Profile: employed / unemployed / retired / on work-study or apprenticeship – If employed : Work and live in the SMAAG territory (Metropole of Grenoble + Grésivaudan + Pays voironnais) – If in apprenticeship/training program: Working, studying and living in the SMAAG territory (Metropole of Grenoble + Grésivaudan + Pays voironnais) – If unemployed / retired : Reside in the SMAAG territory (Metropole of Grenoble + Grésivaudan + Pays voironnais) – The car/motorcycle/scooter is the main mode of travel during the week (excluding weekends) – Travels 3, 4, or 5 days by car (excluding weekdays) – Thinks about reducing car use or has started to reduce car use – Expect to live and work in the Grenoble area in the next 2 years (Very likely and likely options) Exclusion Criteria:

  • Being a student – Living outside the Metropole of Grenoble + Grésivaudan + Pays voironnais – Working outside (Metropole of Grenoble + Grésivaudan + Pays voironnais) – Studying outside (Metropole of Grenoble + Grésivaudan + Pays voironnais) – Car/motorcycle/scooter is not the main mode of travel – Travels 0, 1 or 2 days a week by car – Does not intend to reduce the frequency of car use – Does not expect to live and/or work in the Grenoble area in the next 2 years

Gender Eligibility: All

Minimum Age: 18 Years

Maximum Age: N/A

Are Healthy Volunteers Accepted: Accepts Healthy Volunteers

Investigator Details

  • Lead Sponsor
    • Aina Chalabaev
  • Collaborator
    • IDEX – Univ. Grenoble-Alpes
  • Provider of Information About this Clinical Study
    • Sponsor-Investigator: Aina Chalabaev, Professor – Université Joseph Fourier
  • Overall Official(s)
    • Aïna Chalabaev, Professor, Study Director, Laboratoire SENS, Univ. Grenoble-Alpes

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