nounced risks identified by participants. Using the node-tool in NVivo-11, a total of 13 instances was found for airplane crash in 8 of the interviews. The second most pronounced risk was of natural disasters, which was mentioned by 6 of the respondents, followed by risks of terrorism and political issues. Figure 1 shows a nodal analysis of the major risks associated with travelling. One of the intriguing findings of the current research is that tough risks of plane crash and natural disasters are the two most highlighted risks; they tend to have little effect on the travel destination selection of tourists. For example, Interviewee-1 (a female from Devon) noted that she would not go to India or Pakistan, considering the fact that these countries are prone to terrorist attacks. On the contrary, Interviewee-8 (a female from Exeter) commented that "If there's a terror attack, I would probably go anyway because Madrid had bombings, London had bombings, America had an attack, there's attack in Bali in Indonesia, but this are kind of isolated incidents. I think the only thing that might put me off is if a civil war broke out." The second comment illustrates that though a terrorist act might not restrain the travelling plan to that place, but this risk is always taken into consideration.
             Figure 1: Nodal Representation of Major Traveling Risks
             Using matrix-coding it was found that females are more concerned about travelling risks than males and there is an underlying perception that females are exposed to more risks and insecurities while traveling than males. The current participants' pool comprises of 12 females (70.5%) and 5 males (29.5%). So, through simple text-referencing, the frequency of any term would be greater for the female pool than the male pool. The matrix-coding function allows drawing a comparison based on the number of instances a word occurred in the interview and also the total number of instan...