The Application of a Sequence Alignment Method to the Creation of Typologies of Tourist Activity in Time and Space

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.

[1]  R. C. Mings,et al.  The Spatial Configuration of Travel to Yellowstone National Park , 1992 .

[2]  B. Mckercher,et al.  Modeling Tourist Movements: A Local Destination Analysis , 2006 .

[3]  M. Kwan.  Gis methods in time‐geographic research: geocomputation and geovisualization of human activity patterns , 2004 .

[4]  Noam Shoval,et al.  Tourist Mobility and Advanced Tracking Technologies , 2009 .

[5]  B. Mckercher,et al.  Movement Patterns of Tourists within a Destination , 2008 .

[6]  T. Flognfeldt,et al.  Traveler geographic origin and market segmentation: the multi trips destination case. , 1999 .

[7]  Clarke Wilson,et al.  Activity Patterns of Canadian Women: Application of ClustalG Sequence Alignment Software , 2001 .

[8]  P. Thornton,et al.  Revisiting Time—Space Diaries: An Exploratory Case Study of Tourist Behaviour in Cornwall, England , 1997 .

[9]  Mary Blair-Loy.  Career Patterns of Executive Women in Finance: An Optimal Matching Analysis1 , 1999, American Journal of Sociology.

[10]  Clarke Wilson,et al.  ClustalG: Software for analysis of activities and sequential events , 1999 .

[11]  B. Mckercher,et al.  Tourist Flows and the Spatial Distribution of Tourists , 2008 .

[12]  Peter E. Murphy,et al.  Urban Tourism and Visitor Behavior , 1992 .

[13]  Martin Gren,et al.  Time-geography matters , 2001 .

[14]  Harvey J. Miller,et al.  User‐centred time geography for location‐based services , 2004 .

[15]  A. G. J. Dietvorst,et al.  Tourist behaviour and the importance of time-space analysis , 1995 .

[16]  M. Kwan.  Time, Information Technologies, and the Geographies of Everyday Life , 2002 .

[17]  M. Oppermann,et al.  A Model of Travel Itineraries , 1995 .

[18]  Bob McKercher,et al.  How tourists consume a destination , 2006 .

[19]  Katherine Stovel,et al.  Residential Trajectories , 2004 .

[20]  A. Abbott,et al.  Measuring Resemblance in Sequence Data: An Optimal Matching Analysis of Musicians' Careers , 1990, American Journal of Sociology.

[21]  Sara Dolnicar,et al.  Beyond “Commonsense Segmentation”: A Systematics of Segmentation Approaches in Tourism , 2004 .

[22]  C. Hall,et al.  The Geography of Tourism and Recreation: Environment, Place and Space , 1999 .

[23]  A. Abbott.  Sequence analysis: new methods for old ideas , 1995 .

[24]  M. Kwan.  Gender and Individual Access to Urban Opportunities: A Study Using Space–Time Measures , 1999 .

[25]  David Sankoff,et al.  Time Warps, String Edits, and Macromolecules: The Theory and Practice of Sequence Comparison , 1983 .

[26]  Torsten Hägerstraand.  WHAT ABOUT PEOPLE IN REGIONAL SCIENCE , 1970 .

[27]  Donald G. Janelle,et al.  Geovisualization of Human Activity Patterns Using 3 D GIS : A Time-Geographic Approach , 2002 .

[28]  Hassan Abdulaziz,et al.  Environment and Planning , 1969 .

[29]  Clarke Wilson,et al.  Activity patterns in space and time: calculating representative Hagerstrand trajectories , 2008 .

[30]  Ta Theo Arentze,et al.  Activity pattern similarity : a multidimensional sequence alignment method , 2002 .

[31]  Adam Astrid Kemperman,et al.  COMPARING FIRST-TIME AND REPEAT VISITORS ACTIVITY PATTERNS , 2003 .

[32]  Harvey J. Miller,et al.  Modelling accessibility using space-time prism concepts within geographical information systems , 1991, Int. J. Geogr. Inf. Sci..

[33]  Alan August Lew.  Guidebook Singapore : the spatial organization of urban tourist attractions , 1986 .

[34]  Ta Theo Arentze,et al.  Analysing space-time behaviour: new approaches to old problems , 2002 .

[35]  M. Kwan.  Space-time and integral measures of individual accessibility: a comparative analysis using a point-based framework , 2010 .

[36]  Harvey J. Miller,et al.  USER CENTERED TIME GEOGRAPHY FOR LOCATION-BASED SERVICES , 2003 .

[37]  Armando Montanari,et al.  EVALUATING TOURIST FLOWS IN HISTORIC CITIES: THE CASE OF VENICE , 1995 .

[38]  Hjp Harry Timmermans,et al.  Vacation behavior using a sequence alignment method , 2002 .

[39]  Chang-Hyeon Joh,et al.  Tourism Behaviour in Seoul: An Analysis of Tourism Activity Sequence using Multidimensional Sequence Alignments , 2010 .

[40]  N. Shoval,et al.  Application of Tracking Technologies to the Study of Pedestrian Spatial Behavior* , 2006 .

[41]  H. Timmermans,et al.  A Utility-Based Analysis of Activity Time Allocation Decisions Underlying Segmented Daily Activity–Travel Patterns , 2005 .

[42]  Brendan Halpin,et al.  Class careers as sequences : An optimal matching analysis of work-life histories , 1998 .

[43]  H. Miller.  A MEASUREMENT THEORY FOR TIME GEOGRAPHY , 2005 .

[44]  Derek Gregory,et al.  Areal Differentiation and Post-Modern Human Geography , 1989 .

[45]  W C Wilson,et al.  Activity Pattern Analysis by Means of Sequence-Alignment Methods , 1998 .

[46]  A. Abbott,et al.  Optimal Matching Methods for Historical Sequences , 1986 .

[47]  Clarke Wilson,et al.  Reliability of Sequence-Alignment Analysis of Social Processes: Monte Carlo Tests of Clustalg Software , 2006 .

[48]  B. Bramwell,et al.  The Geography of Tourism and Recreation: environment, place and space , 2007 .

[49]  Noam Shoval,et al.  Sequence Alignment as a Method for Human Activity Analysis in Space and Time , 2007 .

[50]  Mei-Po Kwan,et al.  Interactive geovisualization of activity-travel patterns using three-dimensional geographical information systems: a methodological exploration with a large data set , 2000 .

[51]  B. Mckercher,et al.  Methodological considerations when mapping tourist movements in a destination , 2009 .