<|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:"DOES SUBURBANISATION CONTRIBUTE TO THE REJUVENATION OF A METROPOLITAN AREA? CHANGES IN THE AGE STRUCTURE OF THE KRAKOW METROPOLITAN AREA IN POLAND IN THE LIGHT OF RECENT SUBURBANISATION."
Abstract:"The process of residential suburbanisation may cause changes in the age structure of the population as the age composition of in-migrants is younger than long-term residents. However, the demographic change associated with the second demographic transition as well as the co-existence of suburbanisation and reurbanisation of inner city areas may have ambiguous impacts on the age composition. The aim of this paper is to show changes in the age structure of the population in a post-socialist city in the light of suburbanisation using the example of the Krakow Metropolitan Area. In particular, we sought to show whether the intensive development of this process results in the inhibition of population ageing due to the influx of people in suburban areas along with the outward diffusion of the behaviours associated with the second demographic transition.."
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 = [3];
Q3 = [];
Q4 = [0];
Q5 = [1];
Q6 = [1].
DOES SUBURBANISATION CONTRIBUTE TO THE REJUVENATION OF A METROPOLITAN AREA? CHANGES IN THE AGE STRUCTURE OF THE KRAKOW METROPOLITAN AREA IN POLAND IN THE LIGHT OF RECENT SUBURBANISATION
The process of residential suburbanisation may cause changes in the age structure of the population as the age composition of in-migrants is younger than long-term residents. However, the demographic change associated with the second demographic transition as well as the co-existence of suburbanisation and reurbanisation of inner city areas may have ambiguous impacts on the age composition. The aim of this paper is to show changes in the age structure of the population in a post-socialist city in the light of suburbanisation using the example of the Krakow Metropolitan Area. In particular, we sought to show whether the intensive development of this process results in the inhibition of population ageing due to the influx of people in suburban areas along with the outward diffusion of the behaviours associated with the second demographic transition.