<|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:"Mobility hub or hollow? Cross-border travelling in the Mediterranean, 1995-2016."
Abstract:"The Mediterranean is often portrayed as a hub of human mobility. In this article, we test this widespread view by exploring the structure of travel flows in the region over the last two decades (1995-2016). We find that mobility is much higher and increasing more strongly along the northern than along the southern shore, thus creating a growing mobility divide. South-north and north-south movements are even scarcer and stagnate or even decline over time. With a Gini coefficient of .87, mobility flows are distributed extremely unequally across country pairs in the Mediterranean. Community detection algorithms reconfirm that mobility predominantly takes place in disparate clusters around the Mediterranean, not across it. These findings imply that a 'neo-Braudelian' view of the Mediterranean as a mobility hub is less justified than a 'Rio Grande' perspective that conceives of the Mediterranean as a mobility hollow. Multivariate regression models for network data suggest that geographical distance and, to a lesser extent, political visa regulations, explain the unequal mobility structure better than differences in economic well-being.."
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:

Mobility hub or hollow? Cross-border travelling in the Mediterranean, 1995-2016
The Mediterranean is often portrayed as a hub of human mobility. In this article, we test this widespread view by exploring the structure of travel flows in the region over the last two decades (1995-2016). We find that mobility is much higher and increasing more strongly along the northern than along the southern shore, thus creating a growing mobility divide. South-north and north-south movements are even scarcer and stagnate or even decline over time. With a Gini coefficient of .87, mobility flows are distributed extremely unequally across country pairs in the Mediterranean. Community detection algorithms reconfirm that mobility predominantly takes place in disparate clusters around the Mediterranean, not across it. These findings imply that a 'neo-Braudelian' view of the Mediterranean as a mobility hub is less justified than a 'Rio Grande' perspective that conceives of the Mediterranean as a mobility hollow. Multivariate regression models for network data suggest that geographical distance and, to a lesser extent, political visa regulations, explain the unequal mobility structure better than differences in economic well-being.