<|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:"Bicycling facility inequalities and the causality dilemma with socioeconomic/sociodemographic change."
Abstract:"How well has the recent expansion of bicycling networks advanced transportation justice through appropriate distribution across the socioeconomic/demographic (SED) spectrum? Furthermore, does the installation of bicycling facilities lead to SED changes in a neighborhood or vice versa? We longitudinally assess 11,010 miles of bicycling facilities over ten years (2010-2019) in 11,293 block groups across 29 U.S. cities by facility type. Findings suggest inequalities in bicycling facility installation with People of Color (POC) experiencing the lowest rates of overall facility installation. However, bike lane installation was concentrated in lower-income areas (both POC and White). The causality relationships between bicycling facilities and SED changes were weak and largely non-significant. Income increases were followed by bicycling facility installations more so than increases in White populations were followed by bicycling facility installations. SED changes were more correlated with later bicycling facility installation than the inverse, suggesting that bicycling facilities were not linked to displacement.."
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 = [];
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Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:

Bicycling facility inequalities and the causality dilemma with socioeconomic/sociodemographic change
How well has the recent expansion of bicycling networks advanced transportation justice through appropriate distribution across the socioeconomic/demographic (SED) spectrum? Furthermore, does the installation of bicycling facilities lead to SED changes in a neighborhood or vice versa? We longitudinally assess 11,010 miles of bicycling facilities over ten years (2010-2019) in 11,293 block groups across 29 U.S. cities by facility type. Findings suggest inequalities in bicycling facility installation with People of Color (POC) experiencing the lowest rates of overall facility installation. However, bike lane installation was concentrated in lower-income areas (both POC and White). The causality relationships between bicycling facilities and SED changes were weak and largely non-significant. Income increases were followed by bicycling facility installations more so than increases in White populations were followed by bicycling facility installations. SED changes were more correlated with later bicycling facility installation than the inverse, suggesting that bicycling facilities were not linked to displacement.