<|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:"Explaining transport mode use of low-income persons for journey to work in urban areas: a case study of Ontario and Quebec."
Abstract:"This article contributes to the growing research and policy interest on the challenges of achieving socially sustainable transportation. It analyses the determinants of transport mode use for journey to work among population groups considered as vulnerable to mobility and accessibility limitations. Using the 2001 Census of Canada, multilevel multinomial logistic regression models were estimated to assess the personal, social and economic factors that affect travel mode use of low-income persons in their journey to work in urban areas in Ontario and Quebec. The findings show important differences in the factors associated with car driving and public transit, between genders, and according to income level, educational achievement, household structure and immigration status. Furthermore, it is found that significant factors affecting travel mode use among low-income people in various urban areas are differentiated by province. The results point towards a geographic-based and balanced promotion of public and private mobility programmes and policies to address transport needs of low-income workers.."
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 = [1];
Q2 = [];
Q3 = [2];
Q4 = [0];
Q5 = [1];
Q6 = [1].
Explaining transport mode use of low-income persons for journey to work in urban areas: a case study of Ontario and Quebec
This article contributes to the growing research and policy interest on the challenges of achieving socially sustainable transportation. It analyses the determinants of transport mode use for journey to work among population groups considered as vulnerable to mobility and accessibility limitations. Using the 2001 Census of Canada, multilevel multinomial logistic regression models were estimated to assess the personal, social and economic factors that affect travel mode use of low-income persons in their journey to work in urban areas in Ontario and Quebec. The findings show important differences in the factors associated with car driving and public transit, between genders, and according to income level, educational achievement, household structure and immigration status. Furthermore, it is found that significant factors affecting travel mode use among low-income people in various urban areas are differentiated by province. The results point towards a geographic-based and balanced promotion of public and private mobility programmes and policies to address transport needs of low-income workers.