<|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:"Examining the impact of urban-rural spatial structure on mobility networks: A case study of taxis."
Abstract:"Urban livability and sustainability require a deeper understanding of the impact of urban spatial structure on human mobility. Here two mobility networks generated from two taxi data from two cities (Chengdu and New York City) are used to explore human intra-urban mobility. Through the network analysis, we found that many measures of two mobility networks present a two-segment feature. Combined with the map and population distribution, we demonstrate that the two segments correspond to the central and non-central regions of the city, respectively, which means hierarchical mobility related to urban-rural structure exists in both cities, although they have different levels of urbanization. We comprehensively analyze the impact of urban-rural spatial structure on the nature of mobility networks. The central and non-central regions differ significantly in the heterogeneity of human mobility and present different ranges and directions of trips, like the large degree nodes, showing a flared entry and exit pattern. We improved a gravity model by introducing flows to and from the node instead of population to predict the traffic between different nodes, and the prediction results also vary significantly between the two regions. These findings are valuable for understanding the relationship between urbanrural spatial structure and human mobility.."
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 = [2];
Q3 = [2];
Q4 = [0];
Q5 = [1];
Q6 = [1].
Examining the impact of urban-rural spatial structure on mobility networks: A case study of taxis
Urban livability and sustainability require a deeper understanding of the impact of urban spatial structure on human mobility. Here two mobility networks generated from two taxi data from two cities (Chengdu and New York City) are used to explore human intra-urban mobility. Through the network analysis, we found that many measures of two mobility networks present a two-segment feature. Combined with the map and population distribution, we demonstrate that the two segments correspond to the central and non-central regions of the city, respectively, which means hierarchical mobility related to urban-rural structure exists in both cities, although they have different levels of urbanization. We comprehensively analyze the impact of urban-rural spatial structure on the nature of mobility networks. The central and non-central regions differ significantly in the heterogeneity of human mobility and present different ranges and directions of trips, like the large degree nodes, showing a flared entry and exit pattern. We improved a gravity model by introducing flows to and from the node instead of population to predict the traffic between different nodes, and the prediction results also vary significantly between the two regions. These findings are valuable for understanding the relationship between urbanrural spatial structure and human mobility.