<|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:"Unveiling the pandemic's impact on visits to Madrid's parks: insights from mobile phone data analysis."
Abstract:"Changes in human mobility due to the COVID-19 pandemic have particularly impacted urban parks, altering their use patterns. The use of Big Data sources enables the quantification and tracking of changes, although few studies delve into their spatial representation and the socio-demographic characterisation of park users. In this research, we use anonymised cellular network-based data with associated user profile information to quantify and map the changes operated in trips to Madrid's urban parks in a week of reference before and after the pandemic. Our results show a general decrease in trips to urban parks, especially by males in all age ranges. We also observe a marked decrease in trips by the high-income population. Finally, we have nicely presented some of these results in a composition of several maps that provide visual insight into the main changes.."
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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. 

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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:
Q1 = [1];
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Q6 = [1].
Unveiling the pandemic's impact on visits to Madrid's parks: insights from mobile phone data analysis
Changes in human mobility due to the COVID-19 pandemic have particularly impacted urban parks, altering their use patterns. The use of Big Data sources enables the quantification and tracking of changes, although few studies delve into their spatial representation and the socio-demographic characterisation of park users. In this research, we use anonymised cellular network-based data with associated user profile information to quantify and map the changes operated in trips to Madrid's urban parks in a week of reference before and after the pandemic. Our results show a general decrease in trips to urban parks, especially by males in all age ranges. We also observe a marked decrease in trips by the high-income population. Finally, we have nicely presented some of these results in a composition of several maps that provide visual insight into the main changes.