<|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:"Assessment of urban human mobility perturbation under extreme weather events: A case study in Nanjing, China."
Abstract:"Extreme weather events (EWEs), due to their high uncertainty, massive scale, irreversibility and destructiveness, may significantly impact cities, including causing notable perturbation to urban human mobility. Recent research has substantially advanced the knowledge on general human mobility patterns in cities, primarily about the spatiotemporal characteristics of trajectories of urban population, but has rarely examined the perturbation of these mobility patterns during EWEs. To quantitatively assess human mobility perturbation, this study proposes to measure both the instantaneous perturbation at any given moment during an EWE, and the accumulated perturbation over the entire timespan of the EWE. Using two metrics that are developed for the above purpose, a case study is conducted in Nanjing, a major city in China, which recently experienced record-breaking rainstorm and snowstorm events. Based on trajectories of all taxies and buses in Nanjing during these events, the case study quantitatively assesses the perturbation of human mobility in the city, compares it between two EWEs and between two modes of transport, and analyzes the geographical distribution of the perturbation within the city boundary. Based on the results, further insights into the impacts of EWEs on urban human mobility are discussed in the paper.."
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 = [1,2];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [1].
Assessment of urban human mobility perturbation under extreme weather events: A case study in Nanjing, China
Extreme weather events (EWEs), due to their high uncertainty, massive scale, irreversibility and destructiveness, may significantly impact cities, including causing notable perturbation to urban human mobility. Recent research has substantially advanced the knowledge on general human mobility patterns in cities, primarily about the spatiotemporal characteristics of trajectories of urban population, but has rarely examined the perturbation of these mobility patterns during EWEs. To quantitatively assess human mobility perturbation, this study proposes to measure both the instantaneous perturbation at any given moment during an EWE, and the accumulated perturbation over the entire timespan of the EWE. Using two metrics that are developed for the above purpose, a case study is conducted in Nanjing, a major city in China, which recently experienced record-breaking rainstorm and snowstorm events. Based on trajectories of all taxies and buses in Nanjing during these events, the case study quantitatively assesses the perturbation of human mobility in the city, compares it between two EWEs and between two modes of transport, and analyzes the geographical distribution of the perturbation within the city boundary. Based on the results, further insights into the impacts of EWEs on urban human mobility are discussed in the paper.