Analysis of domestic tourists’ demographic and travel characteristics in Kenya
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Abstract
Demographic and travel characteristics are significant in forming the basis for market segmentation, positioning, and branding initiatives for a destination. This study sought to examine demographic and travel characteristics exhibited by domestic tourists and their effects on purchase decisions and travel choices. The study adopted both quantitative and qualitative research approaches. A simple random sampling technique was used to select domestic tourists, while data was collected using a structured questionnaire and analysed using descriptive and Chi-square techniques. Four hundred questionnaires were distributed, out of which 371 were returned, representing a 73.3% rate. The findings indicated that the duration of the current visit is dependent on annual income (????2 = 23.055, p = 0.027), the number of times visited is dependent on age (????2 = 30.579, p = 0.015), while travel arrangement is dependent on age (????2 = 9.986, p = 0.041). The mode of transport depends on age (????2 = 52.645, p = 0.012), and on education (????2 = 44.734, p = 0.006). The study recommends focusing on identifying and prioritising preferred local destinations and attractions for the domestic tourist market depending on demographic and travel characteristics to increase travel propensity for the sustainability of the industry.
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References
Aziz, Y. A., Hussin, S. R., Nezakati, H., Raja Yusof, R. N., Hashim, H. (2018). The effect of socio-demographic variables and travel characteristics on motivation of Muslim family tourists in Malaysia. Journal of Islamic Marketing. 9(2), 222–239. DOI: https://doi.org/10.1108/JIMA-03-2016-0016
Beirman, D. (2016). Tourism Risk, Crisis and Recovery Management Guide. URL: https://www.uts.edu.au/sites/default/files/20160329-Beirman-Risk-Crisis-Recovery-Tour-Wholesalers.pdf (Downloaded: 25 September 2022)
Bu, Y., Parkinson, J., Thaichon, P. (2021). Digital content marketing as a catalyst for e-WOM in food tourism. Australasian Marketing Journal. 29(2), 142–154. DOI: https://doi.org/10.1016/j.ausmj.2020.01.001
Dwyer, L., Edwards, D., Mistilis, N., Roman, C., Scott, N. (2009). Destination and enterprise management for a tourism future. Tourism Management. 30(1), 63–74. DOI: https://doi.org/10.1016/j.tourman.2008.04.002
Gardiner, S., Grace, D., King, C. (2014). The generation effect: The future of domestic tourism in Australia. Journal of Travel Research. 53(6), 705–720. DOI: https://doi.org/10.1177/0047287514530810
Goeldner, C., Ritchie, B. (2012). Tourism: Practices, Principles, Philosophies. John Wiley and Sons, Hoboken, NJ.
GOK – Government of Kenya (2019). Kenya National Bureau of Statistics. Economic Survey. Nairobi, Kenya.
GOK – Government of Kenya (2020). Kenya National Bureau of Statistics. Economic Survey. Nairobi, Kenya.
Jensen, J. M. (2011). The relationships between socio-demographic variables, travel motivations and subsequent choice of vacation. Advances in Economics and Business. 3(8), 322–328. DOI: https://doi.org/10.13189/aeb.2015.030804
Kara, N. S., Mkwizu, K. H. (2020). Demographic factors and travel motivation among leisure tourists in Tanzania. International Hospitality Review. 34(1), 81–103. DOI: https://doi.org/10.1108/IHR-01-2020-0002
Kifworo, C., Okello, M., Mapelu, I. (2020). Demographic Profiling and Domestic Tourism Participation Behavior in Nairobi County, Kenya. Journal of Tourism Management Research. 7(2), 155–169. DOI: https://doi.org/10.18488/journal.31.2020.72.155.169
Kihima, B. (2015). Domestic tourism in Kenya: Trends, Initiatives and practices. Les Cahiers d’Afrique de l’Est/The East African Review, 50, 22–39. DOI:
https://doi.org/10.4000/eastafrica.289
Lin, V. S., Qin, Y., Li, G., Wu, J. (2020). Determinants of Chinese households’ tourism consumption: Evidence from China Family Panel Studies. International Journal of Tourism Research. 23(4), 542–554. DOI: https://doi.org/10.1002/jtr.2425
Ma, J., Zhang, J., Li, L., Zeng, Z., Sun, J., Zhou, Q. B., Zhang, Y. (2018). Study on livelihood assets-based spatial differentiation of the income of natural tourism communities. Sustainability. 10(2), 353. DOI: https://doi.org/10.3390/su10020353
Manono, G., Rotich, D. (2013). Seasonality effects on trends of domestic and international tourism: a case of Nairobi National Park, Kenya. Journal of Natural Sciences Research. 3(1), 131–139.
Melo, F. V. S., de Farias, S. A. (2018). Sustainability communication and its effect in consumer intention to visit a tourist destination. Tourism & Management Studies. 14(2), 36–44. DOI: https://doi.org/10.18089/tms.2018.14204
MoTW – Ministry of Tourism & Wildlife (2018). Kenya Tourism Agenda 2018–2022. Government of Kenya, Nairobi.
MoTW – Ministry of Tourism & Wildlife (2021a). Domestic Tourism Recovery Strategies for Kenya. Nairobi.
MoTW – Ministry of Tourism & Wildlife (2021b). Tourism Sector Performance Report 2020. Tourism Research Institute, Nairobi.
Mutinda, R., Mayaka, M. (2012). Application of destination choice model: Factors influencing domestic tourists’ destination choice among residents of Nairobi, Kenya. Tourism Management. 33(6), 1593–1597. DOI: https://doi.org/10.1016/j.tourman.2011.12.008
Njagi, C. W., Ndivo, R. M., Manyara, G. (2017). Understanding the travel motivation among youth travelers in Kenya: the ‘push’ and ‘pull’ paradigm. African Journal of Hospitality, Tourism and Leisure. 6(1). URL: http://www.ajhtl.com/uploads/7/1/6/3/7163688/article_44_vol_6__1__2017.pdf (Downloaded: 25 September 2022)
Nzioka, A. M., Kivuva, A. K., Kihima, B. O. (2014). Selecting non-classified hotels in Kenya: what really matters for business guests? African Journal of Hospitality, Tourism and Leisure. 3(2). URL: http://www.ajhtl.com/uploads/7/1/6/3/7163688/article_38_vol_3_2_nov_2014.pdf (Downloaded: 25 September 2022)
Otoo, F. E., Agyeiwaah, E., Dayour, F., Wireko-Gyebi, S. (2016). Volunteer tourists’ length of stay in Ghana: Influence of socio-demographic and trip attributes. Tourism Planning & Development. 13(4), 409–426. DOI: https://doi.org/10.1080/21568316.2015.1136834
Oxford Business Group (2017). Kenya sees more domestic Tourism from a Growing Middle Class. http://oxfordbusinessgroup.com (Downloaded: 25 September 2022)
Siedlecki, S. L. (2020). Understanding descriptive research designs and methods. Clinical Nurse Specialist. 34(1), 8–12. DOI: https://doi.org/10.1097/NUR.0000000000000493
Starčević, S., Konjikušić, S. (2018). Why millennials as digital travelers transformed marketing strategy in tourism industry. International Thematic Monograph Tourism in Function of Development of the Republic of Serbia – Тourism in the Era of Digital Transformation, University of Kragujevac, Kragujevac. 221–224. https://ssrn.com/abstract=3280320
Szabó, M., Csete, M. S., & Pálvölgyi, T. (2018). Resilient regions from sustainable development perspective. European Journal of Sustainable Development, 7(1), 395-395. DOI: https://doi.org/10.14207/ejsd.2018.v7n1p395
UNWTO (2020). Supporting Jobs and Economies through Travel & Tourism: A Call for Action to Mitigate the Socio-economic Impact of COVID-19 AND Accelerate Recovery. https://edu.gtk.bme.hu/course/view.php?id=3493UNWTO, Madrid.
UNWTO (2021). Tourism reports. Madrid.