<|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:"Jobs-housing balance revisited - Trends and impacts in the San Francisco Bay Area."
Abstract:"Regions in California have recently set jobs-housing balance targets, to relieve traffic congestion and improve air quality. Critics of such targets charge that many Factors prevent people from living near their workplaces, and that market forces, left unobstructed, work to produce balance-that is, people and firms co-locate to reduce imbalances. Th is article examines changes in the ratios of jobs to employed residents in 23 large San Francisco Bay Area cities during the 1980s. Imbalances were found to have declined generally, mainly because dormitory communities in 1980 had attracted businesses by 1990. However, imbalances generally worsened in job-surplus cities, particularly in the Silicon Valley. The research also reveals little association between jobs-housing balance and self-containment Several Bay Area cities are nearly perfectly balanced, yet Fewer than a third of their workers reside locally, and even smaller shares of residents work locally. Restricted housing production, especially in fast-growing cities, has in many instances raised housing prices, displacing workers and increasing average commute distances. Eliminating barriers to residential mobility and housing production would allow more housing and jobs to co-locate in the future.."
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].
Jobs-housing balance revisited - Trends and impacts in the San Francisco Bay Area
Regions in California have recently set jobs-housing balance targets, to relieve traffic congestion and improve air quality. Critics of such targets charge that many Factors prevent people from living near their workplaces, and that market forces, left unobstructed, work to produce balance-that is, people and firms co-locate to reduce imbalances. Th is article examines changes in the ratios of jobs to employed residents in 23 large San Francisco Bay Area cities during the 1980s. Imbalances were found to have declined generally, mainly because dormitory communities in 1980 had attracted businesses by 1990. However, imbalances generally worsened in job-surplus cities, particularly in the Silicon Valley. The research also reveals little association between jobs-housing balance and self-containment Several Bay Area cities are nearly perfectly balanced, yet Fewer than a third of their workers reside locally, and even smaller shares of residents work locally. Restricted housing production, especially in fast-growing cities, has in many instances raised housing prices, displacing workers and increasing average commute distances. Eliminating barriers to residential mobility and housing production would allow more housing and jobs to co-locate in the future.