Case Studies
Sep 5, 2013

Choice-Based Modeling by Destination Value and Type of Planning for Domestic Leisure Travelers in India

Publication: Journal of Urban Planning and Development
Volume 140, Issue 1

Abstract

Urban spaces are comprised of different locations that offer varying levels of attractiveness to users. The users may be the residents of the space itself or may travel from outside the space to visit the locations of attractions. Such travelers, also known as tourists, decide on the destination based on its values and plan their tour either by themselves or through a travel agency. This paper examines whether or not differences exist between the travel decisions and behavior of these two segments of travelers and the way they take decisions. The research reported in this paper was performed in six cities of India, which offered different values like historical heritage, religious, and waterfront, and the travelers were categorized based on type of planning, i.e., self-planned or agency-based. Exploratory factor analysis was used to identify the factors that combine the effect of influencing attributes and logit analysis was used to arrive at a decision structure. Exploratory factor analysis indicated that safety and comfort, information, and destination-specific factors commonly affect the two planning segments, whereas predecision affects the self-planning travelers exclusively. Social and psychological attributes mainly govern the decisions as compared to travel attributes. Destinations with specific values were short of the aspirations of the travelers, which also were differing. The choice decision was found to be a two-level decision, making a destination-value decision at the first level, and making a tour-planning decision at the second level. The findings are of significance in terms of developing urban spaces.

Get full access to this article

View all available purchase options and get full access to this article.

References

Alhemoud, A. M., and Armstrong, E. G. (1996). “Image of tourist attractions in Kuwait.” J. Trav. Res., 34(4), 76–80.
Apostolakis, A., and Jaffry, S. (2005). “A choice modeling application for Greek heritage locations.” J. Trav. Res., 43(3), 309–318.
Beerli, A., and Martin, J. D. (2004). “Factors influencing destination image.” Ann. Tourism Res., 31(3), 657–681.
Ben-Akiva, M., and Lerman, S. R. (1987). Discrete choice analysis: Theory and application to travel demand, MIT Press, London.
Bodur, M., and Yavas, U. (1988). “Pre-travel planning orientations.” Tourism Manage., 9(3), 245–250.
Carter, E., and Donald, J. (1993). Space and place: Theories of identity and location, Lawrence and Wishart, London.
Casello, J. M., and Smith, T. E. (2006). “Transportation activity centers for urban transportation analysis.” J. Urban Plann. Dev., 247–257.
Castells, M. (1997). The power of identity, Blackwell, London.
Chan, Y., and Carroll, T. O. (1985). “Estimating recreational travel and economic values of state parks.” J. Urban Plann. Dev., 65–79.
Crompton, J. L. (1979). “Motivations for pleasure travel.” Ann. Tourism Res., 6(4), 408–424.
Dickens, P. (1990). Urban sociology: Society, locality and human nature, Harvester Wheatsheaf, Hemel Hempstead, U.K.
Domencich, T. A., and McFadden, D. (1975). Urban travel demand–A behavioural analysis, North-Holland, Oxford, U.K.
Du, J., and Wang, Q. (2011). “Exploring reciprocal influence between individual showing travel and urban from: Agency-based modeling approach.” J. Urban Plann. Dev., 390–401.
Echtner, C. M., and Ritchie, B. J. R. (1993). “The measurement of destination image: An empirical assessment.” J. Trav. Res., 31(4), 3–13.
Ferrario, F. F. (1979). “The evaluation of tourist resources: An allied methodology.” J. Trav. Res., 17(3), 18–22.
Gartner, W. C. (1989). “Tourism image: Attribute measurement of state tourism products using multidimensional scaling.” J. Trav. Res., 28(2), 16–20.
Gillis, J. R. (1994). “Memory and identity: The history of a relationship.” Commemorations: The politics of national identity, J. R. Gillis, ed., Princeton University Press, Princeton, NJ.
Govers, G., Go, F. M., and Kumar, K. (2007). “Virtual destination image: A new measurement approach.” Ann. Tourism Res., 34(4), 977–997.
Haahti, A. (1986). “Finland’s competitive position as a destination.” Ann. Tourism Res., 13(1), 11–36.
Hamed, M. M., and Easa, S. M. (1998). “Integrated modeling of urban shopping activities.” J. Urban Plann. Dev., 115–131.
Hanquin, Z., and Lam, T. (1999). “An analysis of mainland Chinese visitor’s motivations to visit Hong Kong.” Tourism Manage., 20(5), 587–594.
Hensher, D. A., and Johnson, L. W. (1981). Applied discrete choice modelling, Taylor and Francis, London.
Heung, V. C. S., Qu, H., and Chu, R. (2001). “The relationship between vacation factors and socio-demographic and travelling characteristics: The case of Japanese leisure travellers.” Tourism Manage., 22(3), 259–269.
Hsieh, S., O’Leary, J., Morrison, A. (1992). “Segmenting the international travel market by activity.” Tourism Manage., 13(2), 209–223.
Hsu, C.-I., and Guo, S.-P. (2006). “CBD oriented commuters’ mode and residential location choices in an urban area with surface streets and rail transit lines.” J. Urban Plann. Dev., 235–246.
Hsu, T.-K., Tsai, Y.-F., and Wu, H.-H. (2009). “The preference analysis for tourist choice destination: A case study of Taiwan.” Tourism Manage., 30(2), 288–297.
Indian Tourism Statistics. (2010). Rep. Prepared by the Market Research Division, Ministry of Tourism, Government of India, New Delhi, India.
Innes, J. D., Ircha, M. C., and Badoe, D. A. (1990). “Factors affecting automobile shopping trip destination.” J. Urban Plann. Dev., 126–136.
Kaiser, H. F. (1974). “An index of factorial simplicity.” Psychometrika, 39(1), 31–36.
Kim, H. B. (1998). “Perceived attractiveness of Korean destinations.” Ann. Tourism Res., 25(2), 340–361.
Kitamura, R., Mokhtarian, P., and Daidet, L. (1997). “A micro-analysis of land use and travel in five neighbourhoods in the San Francisco bay area.” Transportation, 24(2), 125–158.
Koppelman, F. S., and Bhat, C. R. (2006). “A self instructing course in mode choice modeling: Multinomial and nested logit models.” Rep. Prepared for the Federal Transit Administration, Washington, DC.
Lotfi, S., and Koohsari, M. J. (2011). “Neighborhood walkability in a city within a developing country.” J. Urban Plann. Dev., 402–408.
Matsunaga, C., Toraya, K., Li, Q., and Sumi, T. (2002). “A study on the recreational travel considering accommodation and travel costs in the temporal domain.” Proc., Traffic and Transportation Studies, ASCE, Reston, VA, 1399–1406.
Middleton, V. M. (1994). Marketing in travel and tourism, 2nd Ed., Butterworth-Heinemann, Oxford, U.K.
Middleton, V. T. C. (1989). “Tourism product.” Tourism marketing and management handbook, S. F. Witt, and L. Moutinho, eds., Prentice Hall, London, 573–576.
Nijkamp, P., and Perrels, A. H. (1994). Sustainable cities in Europe, Earthscan, London.
Oh, H. C., Uysal, M., and Weaver, P. A. (1995). “Product bundles and market segments based on travel motivations: A canonical correlation approach.” J. Int. Hospit. Manage., 14(2), 123–137.
Quan, S., and Wang, N. (2004). “Towards a structural model of the tourist experience: An illustration from food experience in tourism.” Tourism Manage., 25(3), 297–305.
Recker, W. W., and Kostynuik, L. P. (1978). “Factors affecting destination choice for the urban grocery shopping trip.” Transportation, 7(1), 19–33.
Reid, L. J., and Reid, S. D. (1997). “Traveler geographic origin and market segmentation for small island nations: The Barbados case.” J. Trav. Tourism Market., 6(3–4), 5–22.
Ryan, C. (1997). The tourist experience: A new introduction, Cassell, London.
Scarpa, R., and Thiene, M. (2005). “Destination choice models for rock climbing in the northeastern Alps: A latent-class approach based on intensity of preferences.” Land Econ., 81(3), 426–444.
Scott, D. R., Schewl, C. D., and Fredrick, D. G. (1978). “A multi-brand/multi-attribute model of tourist state choice.” J. Trav. Res., 17(1), 23–29.
Sepe, M. (2010). “Place identity and place marker: Planning the urban sustainability.” J. Urban Plann. Dev., 139–146.
Shoemaker, S. (1989). “Segmentation of the senior pleasure travel market.” J. Trav. Res., 27(3), 14–21.
Shoemaker, S. (1994). “Segmenting the US travel market according to benefits realized.” J. Trav. Res., 32(3), 8–17.
Silverberg, K., and Backman, K. (1996). “A preliminary investigation into the psychographics of nature-based travelers to the southeastern United States.” J. Trav. Res., 35(2), 19–28.
Simma, A., and Schlich, R. (2002). Destination choice modelling for different leisure activities, Institute for Transport Planning and Systems, Swiss Federal Institute of Technology, Zurich, Switzerland.
Sirakaya, E., Uysal, M., and Yoshioka, C. (2003). “Segmenting the Japanese tour market in Turkey.” J. Tourism Res., 41(3), 293–304.
Um, S., and Crompton, J. L. (1990). “Attitude determinants in tourism destination choice.” Ann. Tourism Res., 17(3), 432–448.
Uysal, M., and Jurowski, C. (1994). “Testing the push and pull factors.” Ann. Tourism Res., 21(4), 844–846.
Van Raaij, W. F. (1986). “Consumer research on tourism mental and behavioral constructs.” Ann. Tourism Res., 13(1), 1–9.
Vina, L. D. L., and Ford, J. (2001). “Logistic regression analysis of cruise vacation market potential: Demographic and trip attribute perception factors.” J. Trav. Res., 39(4), 406–410.
Witter, B. S. (1985). “Attitudes about a resort area: A comparison of tourists and local retailers.” J. Trav. Res., 24(1), 14–19.
Woodside, A., and Jacobs, L. (1985). “Step two in benefit segmentation: Learning the benefits realized by major travel markets.” J. Trav. Res., 24(1), 7–13.
World Tourism Organization (WTO). (2002). Think tank enthusiastically reaches consensus on frameworks for tourism destination success, Madrid, Spain.
Xian-Yu, J.-C., Juan, Z.-C., Gao, L.-J., Ni, A.-W., Zhang, W., and Wu, B. (2011). “Empirical analysis of commuters’ non-work stop-making behavior in Beijing, China.” J. Transp. Eng., 360–369.
Yang, M., Wang, W., Chen, X., Wang, W., Xu, R., and Gu, T. (2010). “Modeling destination choice behavior incorporating spatial factors, individual sociodemographics, and travel mode.” J. Transp. Eng., 800–810.
Yannopoulos, P., and Rotenberg, R. (2000). “Benefit segmentation of the near-home tourism market: The case of upper New York State.” J. Trav. Tourism Market., 8(2), 41–55.

Information & Authors

Information

Published In

Go to Journal of Urban Planning and Development
Journal of Urban Planning and Development
Volume 140Issue 1March 2014

History

Received: Sep 23, 2011
Accepted: Sep 3, 2013
Published online: Sep 5, 2013
Published in print: Mar 1, 2014
Discussion open until: May 11, 2014

Permissions

Request permissions for this article.

Authors

Affiliations

Rajat Rastogi [email protected]
Assistant Professor, Dept. of Civil Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand 247 667, India (corresponding author). E-mail: [email protected]
M. Harikrishna [email protected]
Assistant Professor, Dept. of Civil Engineering, National Institute of Technology Calicut, Calicut, Kerala, India. E-mail: [email protected]
Engineering Consultant-IV, L&T Consulting Engineers, Guindy, Chennai, Tamilnadu, India. E-mail: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share