<|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:"Visual Analysis of Steady-State Human Mobility in Cities."
Abstract:"Cities are living systems where urban infrastructures and their functions are defined by and evolved with population behavior. Visualizing, profiling, and comparing the mobility behavior of the population has been challenging because of the enormous population size in modern cities (tens of millions in our dataset). This paper proposes a steady-state visual analysis of human mobility that abstracts the longitudinal trajectory of each city resident into five information-theoretic metrics: Fluidity, vibrAncy, Commutation, divErsity, and densiTy (FACET). The metrics characterize the long-term mobility behavior of residents concerning municipal structures and points of interest in the city and can also be aggregated to profile underlying city regions. Based on the steady-state analysis method, we develop a visualization system, namely UrbanFACET, which provides a multifaceted panorama of human mobilities in cities and helps to compare urban functions among cities and time. We evaluate the proposed method and system through case studies in real-world big cities. Our result demonstrates the effectiveness of the steady-state analysis in several target domains such as urban planning, business site configuration, and city security surveillance.."
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 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [0];
Q3 = [2];
Q4 = [0];
Q5 = [];
Q6 = [1].
Visual Analysis of Steady-State Human Mobility in Cities
Cities are living systems where urban infrastructures and their functions are defined by and evolved with population behavior. Visualizing, profiling, and comparing the mobility behavior of the population has been challenging because of the enormous population size in modern cities (tens of millions in our dataset). This paper proposes a steady-state visual analysis of human mobility that abstracts the longitudinal trajectory of each city resident into five information-theoretic metrics: Fluidity, vibrAncy, Commutation, divErsity, and densiTy (FACET). The metrics characterize the long-term mobility behavior of residents concerning municipal structures and points of interest in the city and can also be aggregated to profile underlying city regions. Based on the steady-state analysis method, we develop a visualization system, namely UrbanFACET, which provides a multifaceted panorama of human mobilities in cities and helps to compare urban functions among cities and time. We evaluate the proposed method and system through case studies in real-world big cities. Our result demonstrates the effectiveness of the steady-state analysis in several target domains such as urban planning, business site configuration, and city security surveillance.