<|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:"Impact of human mobility on wireless ad hoc networking in entertainment parks."
Abstract:"Ad hoc networks of wireless devices carried by entertainment park visitors can support a variety of services. In such networks, communication links between the devices sporadically appear and disappear with the mobility of visitors. The network performance strongly depends on how often they encounter each other and for how long the contact opportunities last. In this paper, we study the mobility of visitors based on GPS traces collected in two entertainment parks. We demonstrate and discuss the implications of the observed mobility on the efficiency of opportunistic data forwarding. We show how hourly changes in the number and spatial distribution of the park visitors affect the delay of a broadcast application. Our results suggest that generic mobility models commonly used in wireless research are not appropriate to study this and similar scenarios: Targeted mobility models are needed in order to realistically capture non-stationarity of the number and spatial distribution of nodes. Therefore, we developed a mobility simulator for entertainment parks that can be used to scale up the evaluation scenarios to a large number of devices. The simulator implements an activity-based mobility model, where the mobility of park visitors is driven by the activities they wish to perform in the park. The simulator is calibrated based on the GPS traces and validated on several metrics that are relevant for the performance of wireless ad hoc networks. (C) 2012 Elsevier B.V. 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 = [0];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [1].
Impact of human mobility on wireless ad hoc networking in entertainment parks
Ad hoc networks of wireless devices carried by entertainment park visitors can support a variety of services. In such networks, communication links between the devices sporadically appear and disappear with the mobility of visitors. The network performance strongly depends on how often they encounter each other and for how long the contact opportunities last. In this paper, we study the mobility of visitors based on GPS traces collected in two entertainment parks. We demonstrate and discuss the implications of the observed mobility on the efficiency of opportunistic data forwarding. We show how hourly changes in the number and spatial distribution of the park visitors affect the delay of a broadcast application. Our results suggest that generic mobility models commonly used in wireless research are not appropriate to study this and similar scenarios: Targeted mobility models are needed in order to realistically capture non-stationarity of the number and spatial distribution of nodes. Therefore, we developed a mobility simulator for entertainment parks that can be used to scale up the evaluation scenarios to a large number of devices. The simulator implements an activity-based mobility model, where the mobility of park visitors is driven by the activities they wish to perform in the park. The simulator is calibrated based on the GPS traces and validated on several metrics that are relevant for the performance of wireless ad hoc networks. (C) 2012 Elsevier B.V. All rights reserved.