<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"Participation and Incentive Choice of Participants in an Early Vehicle Retirement Program in Quebec, Canada."
Abstract:"Early vehicle retirement programs are designed to reduce greenhouse gas emissions, improve air quality and traffic safety, and stimulate the economy by replacing the automobile fleet with vehicles that pollute less. The Province of Quebec's early vehicle retirement program also was designed as a mode shift tool by offering six incentives that included transit passes, rebates on bicycles and vehicles, and membership in a car-sharing cooperative. The characteristics associated with program participation and incentive choice were assessed. Between 2009 and 2011, more than 40,000 participants registered with the program and provided address, choice of incentive, age of vehicle, gender, and age. Census data provided measures of the built and social environments near participants' residences. The determinants of program participation rates were assessed with the use of Tobit regressions. Incentive choice was modeled with a multinomial logistic regression. Participation rates were high in low-density metropolitan areas and high-density nonmetropolitan areas as well as in areas with low unemployment rates, few immigrants, and young populations. Transit incentives were popular in dense metropolitan centers with a large proportion of women, young people, and high incomes. Older participants were likely to choose car rebates, whereas bicycle incentives were associated with young male participants. Participants in low-income areas were likely to choose the cash incentive. The addition of incentive options that are feasible in low-density or low-income areas should be considered. Alternative transportation incentives are chosen primarily in dense urban environments where a mode shift is feasible.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.

Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation. 

Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.

Q4: What type of climate or environmental keywords are explicitly mentioned?:  0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation. 

Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.

Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.

Use the following template: 

Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [0];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [1];
Q6 = [1].
Participation and Incentive Choice of Participants in an Early Vehicle Retirement Program in Quebec, Canada
Early vehicle retirement programs are designed to reduce greenhouse gas emissions, improve air quality and traffic safety, and stimulate the economy by replacing the automobile fleet with vehicles that pollute less. The Province of Quebec's early vehicle retirement program also was designed as a mode shift tool by offering six incentives that included transit passes, rebates on bicycles and vehicles, and membership in a car-sharing cooperative. The characteristics associated with program participation and incentive choice were assessed. Between 2009 and 2011, more than 40,000 participants registered with the program and provided address, choice of incentive, age of vehicle, gender, and age. Census data provided measures of the built and social environments near participants' residences. The determinants of program participation rates were assessed with the use of Tobit regressions. Incentive choice was modeled with a multinomial logistic regression. Participation rates were high in low-density metropolitan areas and high-density nonmetropolitan areas as well as in areas with low unemployment rates, few immigrants, and young populations. Transit incentives were popular in dense metropolitan centers with a large proportion of women, young people, and high incomes. Older participants were likely to choose car rebates, whereas bicycle incentives were associated with young male participants. Participants in low-income areas were likely to choose the cash incentive. The addition of incentive options that are feasible in low-density or low-income areas should be considered. Alternative transportation incentives are chosen primarily in dense urban environments where a mode shift is feasible.