<|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:"Coping with landslide risk through preventive resettlement. Designing optimal strategies through choice experiments for the Mount Elgon region, Uganda."
Abstract:"Landslides significantly affect rural income-generating activities in the East African highlands. In addition, the livelihoods of the poorest are most likely to be adversely affected. Traditionally, landslide risk is reduced by means of effective planning and management. In many regions, these measures are insufficient to offer a long-term solution because of high population density and land shortage. We use a choice experiment to investigate whether preventive resettlement could be a feasible disaster risk reduction strategy for the population at risk in agricultural areas in Bududa district, East Uganda. Our study provides the first analysis of resettlement-related preferences of people that are affected by environmental degradation. Our results enable us to assess community support for resettlement strategies ex-ante and provide valuable policy advice for future resettlement plans in a very cost-effective manner. (C) 2015 Elsevier Ltd. 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: 

Q1 = [];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [2];
Q3 = [2];
Q4 = [15,28];
Q5 = [1];
Q6 = [1].
Coping with landslide risk through preventive resettlement. Designing optimal strategies through choice experiments for the Mount Elgon region, Uganda
Landslides significantly affect rural income-generating activities in the East African highlands. In addition, the livelihoods of the poorest are most likely to be adversely affected. Traditionally, landslide risk is reduced by means of effective planning and management. In many regions, these measures are insufficient to offer a long-term solution because of high population density and land shortage. We use a choice experiment to investigate whether preventive resettlement could be a feasible disaster risk reduction strategy for the population at risk in agricultural areas in Bududa district, East Uganda. Our study provides the first analysis of resettlement-related preferences of people that are affected by environmental degradation. Our results enable us to assess community support for resettlement strategies ex-ante and provide valuable policy advice for future resettlement plans in a very cost-effective manner. (C) 2015 Elsevier Ltd. All rights reserved.