TY - JOUR
T1 - The application of a sequence alignment method to the creation of typologies of tourist activity in time and space
AU - Shoval, Noam
AU - McKercher, Bob
AU - Birenboim, Amit
AU - Ng, Erica
N1 - Publisher Copyright:
© 2013 Pion and its Licensors.
PY - 2015
Y1 - 2015
N2 - In this article we introduce the method of sequence alignment and its uses for creating tourist typologies based on temporal and spatial movements through a destination. The sequence alignment method was first developed in the 1980s by biochemists who wished to analyse DNA sequences; it was adapted for use in the social sciences towards the end of the 1990s. Unlike traditional quantitative methods, sequence alignment is concerned with the order (or sequence) of events. Thus, it is well suited for tourism research, as tourism involves the mobility of tourists through time and space. In this study, a database composed of 305 space-time sequences of visitors to Hong Kong was analysed. Data were obtained using global positioning system devices which were distributed among participants. The sequences were aligned using ClustalG, a sequence alignment computer program. The analysis resulted in the identification of various classifications of tourists in Hong Kong based on their time–space patterns.
AB - In this article we introduce the method of sequence alignment and its uses for creating tourist typologies based on temporal and spatial movements through a destination. The sequence alignment method was first developed in the 1980s by biochemists who wished to analyse DNA sequences; it was adapted for use in the social sciences towards the end of the 1990s. Unlike traditional quantitative methods, sequence alignment is concerned with the order (or sequence) of events. Thus, it is well suited for tourism research, as tourism involves the mobility of tourists through time and space. In this study, a database composed of 305 space-time sequences of visitors to Hong Kong was analysed. Data were obtained using global positioning system devices which were distributed among participants. The sequences were aligned using ClustalG, a sequence alignment computer program. The analysis resulted in the identification of various classifications of tourists in Hong Kong based on their time–space patterns.
KW - Global positioning systems (GPS)
KW - Hong Kong
KW - Sequence alignment methods (SAM)
KW - Tourist typologies
UR - http://www.scopus.com/inward/record.url?scp=84922764611&partnerID=8YFLogxK
U2 - 10.1068/b38065
DO - 10.1068/b38065
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AN - SCOPUS:84922764611
SN - 0265-8135
VL - 42
SP - 76
EP - 94
JO - Environment and Planning B: Planning and Design
JF - Environment and Planning B: Planning and Design
IS - 1
ER -