<|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:"Finding a simple probability distribution for human mobile speed."
Abstract:"The speed of human mobility in a day is commonly known to have a representative probability distribution and previous studies have identified several useful distributions to represent it. In this study, we deduce conditions for a simple probability distribution that estimates the speed of everyday human mobile with a resolution of 0.01 m/s. A large amount of positioning data was collected using various portable and mobile devices to calculate the speed of human mobility. Considering a range of speeds up to 108 km/h, 180 km/h, 252 km/h, and 360 km/h, several probability distribution functions were deduced in order to establish a base for human mobility research. Our research was conducted using 0.5 m/s, 0.1 m/s, and 0.01 m/s as speed units, because it is possible that smaller units may be meaningful. With permutations of speed ranges and speed units, we extracted probability distributions for human speed and assumed the simplest distribution for actual motion; further, we listed the parameters and conditions for these distributions. Our experimental results indicate that exponential distribution was one of the simplest probability distribution to represent everyday human mobility speeds if a specific speed range is considered and the speed ranges in which the human motion speed follows an exponential distribution was also deduced. (C) 2015 Elsevier B.V. All rights reserved.."
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: 

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Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
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Q6 = [1].
Finding a simple probability distribution for human mobile speed
The speed of human mobility in a day is commonly known to have a representative probability distribution and previous studies have identified several useful distributions to represent it. In this study, we deduce conditions for a simple probability distribution that estimates the speed of everyday human mobile with a resolution of 0.01 m/s. A large amount of positioning data was collected using various portable and mobile devices to calculate the speed of human mobility. Considering a range of speeds up to 108 km/h, 180 km/h, 252 km/h, and 360 km/h, several probability distribution functions were deduced in order to establish a base for human mobility research. Our research was conducted using 0.5 m/s, 0.1 m/s, and 0.01 m/s as speed units, because it is possible that smaller units may be meaningful. With permutations of speed ranges and speed units, we extracted probability distributions for human speed and assumed the simplest distribution for actual motion; further, we listed the parameters and conditions for these distributions. Our experimental results indicate that exponential distribution was one of the simplest probability distribution to represent everyday human mobility speeds if a specific speed range is considered and the speed ranges in which the human motion speed follows an exponential distribution was also deduced. (C) 2015 Elsevier B.V. All rights reserved.