<|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:"Who are the typical commuters in the post-socialist metropolis? The case of Riga, Latvia."
Abstract:"There have been important changes in the geographical mobility of the populations of post-socialist countries since the 1990s. Drawing on an extensive sample survey the Geographic Mobility of the Labour Force survey conducted by the University of Latvia in 2006 this paper, examines the demographic and socio-economic differences between commuters and stayers in the suburbs, as well as commuting time. The results of the study indicate that people who have suburbanised over the past decade are much more likely to commute than stayers. We show that commuters to Riga differ from non-commuters with regard to most demographic and socio-economic variables. For instance, the probability of commuting is higher for the younger and more affluent suburban residents. Somewhat surprisingly, our analysis shows that there are no significant differences in commuting time between socio-demographic population groups. (C) 2012 Elsevier Ltd. All rights reserved.."
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 = [3];
Q3 = [];
Q4 = [0];
Q5 = [];
Q6 = [1].
Who are the typical commuters in the post-socialist metropolis? The case of Riga, Latvia
There have been important changes in the geographical mobility of the populations of post-socialist countries since the 1990s. Drawing on an extensive sample survey the Geographic Mobility of the Labour Force survey conducted by the University of Latvia in 2006 this paper, examines the demographic and socio-economic differences between commuters and stayers in the suburbs, as well as commuting time. The results of the study indicate that people who have suburbanised over the past decade are much more likely to commute than stayers. We show that commuters to Riga differ from non-commuters with regard to most demographic and socio-economic variables. For instance, the probability of commuting is higher for the younger and more affluent suburban residents. Somewhat surprisingly, our analysis shows that there are no significant differences in commuting time between socio-demographic population groups. (C) 2012 Elsevier Ltd. All rights reserved.