<|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:"Smart data at play: improving accessibility in the urban transport system."
Abstract:"Human mobility is one of the most important concerns in smart city initiatives and is especially relevant when combined with accessibility issues. This paper describes work in the context of the Access@City Research Project, which seeks to improve the accessibility in the public transport system by using available information (open data, semantic-aware knowledge) provided by transport organisations. However, these organisations provide partial data, and a lot of information is still available only on their websites, or simply does not exist. This absence can be tackled using a playful approach - the use of gaming apps to obtain and update accessibility information. In this paper, we describe the use of a hybrid reality game (HRG) to enrich information regarding the accessibility of subway stations. In turn, the player improves her score, which is included as part of the game. The correlation between these observations is able to provide, in a relatively short time, an accurate description of the accessibility of these stations. In summary, this playful approach makes it possible to recover a set of accessibility data that ultimately provide these smart capabilities, which are the core of this 'accessible city' endeavour.."
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:
Q1 = [0];
Q2 = [];
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Q4 = [];
Q5 = [0];
Q6 = [1].
Smart data at play: improving accessibility in the urban transport system
Human mobility is one of the most important concerns in smart city initiatives and is especially relevant when combined with accessibility issues. This paper describes work in the context of the Access@City Research Project, which seeks to improve the accessibility in the public transport system by using available information (open data, semantic-aware knowledge) provided by transport organisations. However, these organisations provide partial data, and a lot of information is still available only on their websites, or simply does not exist. This absence can be tackled using a playful approach - the use of gaming apps to obtain and update accessibility information. In this paper, we describe the use of a hybrid reality game (HRG) to enrich information regarding the accessibility of subway stations. In turn, the player improves her score, which is included as part of the game. The correlation between these observations is able to provide, in a relatively short time, an accurate description of the accessibility of these stations. In summary, this playful approach makes it possible to recover a set of accessibility data that ultimately provide these smart capabilities, which are the core of this 'accessible city' endeavour.