Segmentation of rural tourists: combining push and pull motivations

2012 ◽  
Vol 18 (1) ◽  
pp. 69-82 ◽  
Author(s):  
Juho A. Pesonen

Rural tourism is an important form of tourism in many countries, including Finland. To understand rural tourists’ behaviour and help tourism companies market their products more efficiently many scholars have segmented rural tourists in several different geographical locations. This study aims to combine segmentation approaches used in earlier studies, namely motivation and benefit segmentation, and segment online rural tourists in Finland. Data is collected in a rural tourism affiliate website and analysed using cluster analysis on tourists’ motivations. Among 727 respondents, four rural tourist segments are found: “Social travellers”, “Wellbeing travellers”, “Home region travellers” and “Family travellers”. The segments differ from each other in motivations, preferred destination attributes, travel behaviour and sociodemographic factors. Understanding these differences will provide rural tourism companies important information to successfully market their products by combining both push and pull motivations in their marketing and product development.

2017 ◽  
Vol 19 (1) ◽  
pp. 74-84 ◽  
Author(s):  
Mamoon Allan ◽  
Mercede Shavanddasht

Rural geotourism is one of the geotourism products which is linked to rural tourism activities. More specifically, geo-villages especially stone villages are main forms of rural geotourism destinations and they are ideal for geotourists. Thus, the main study’s objective is to explore rural geotourists’ characteristics, revealing the differences in their motivations on weekends versus weekdays using a factor–cluster market segmentation approach. The sample population for this research consisted of tourists who have visited the Kandovan rocky village in Tabriz City. We collected push and pull motivation data from a questionnaire and separated respondents into weekend and weekday samples. The weekend and weekday motivation factors were derived from 30 motivation items through factor analysis. Among a total of 624 questionnaires distributed, 600 questionnaires were used for further data analyses. As a result of cluster analysis, weekend tourists were divided into three clusters and weekday tourists were segmented into four clusters. Through a comparison of the results for weekends and weekdays, we find both weekend and weekday tourists seek “novelty” and “geological attractions” when they travel to Kandovan.


Author(s):  
Predrag Vuković ◽  
Jonel Subic

Rural tourism has been developing in Serbia since the 1970s. However, from the beginning of the 1990s, the development stopped. The development trend was only continued in the second half of the 1990s, and fast-paced development began in 2006. Rural tourism presents in various forms in Serbia. They are conditioned by natural geographic terrain characteristics, social and cultural elements, and strategic plans for tourism development. What appears as a problem in the development of rural tourism is the question of its sustainable development. The development of rural tourism should under no circumstances jeopardise the natural and social environment in the rural areas, as these aspects are the very basic tourist attraction and the “push and pull” force that animates the tourist demand. The goal of this chapter is to investigate the resources available in Serbia and show the possible directions in the rural tourism development, mainly based on the principle of sustainable development, as a precondition for the country's competitiveness on the tourism market.


SAGE Open ◽  
2019 ◽  
Vol 9 (3) ◽  
pp. 215824401986356 ◽  
Author(s):  
Àlex Boso ◽  
Boris Álvarez ◽  
Christian Oltra ◽  
Álvaro Hofflinger ◽  
Arturo Vallejos-Romero ◽  
...  

Various medium-sized cities in southern Chile are saturated by air pollution caused by woodsmoke. In this study, we developed a segmentation model to assess the public’s perceptions, understanding of health risks and emotional responses to poor air quality. To date, this is the first segmentation model dealing with public perception in cities contaminated by woodsmoke. A survey ( N = 489) was conducted in Temuco and Padre las Casas, Chile, which included questions regarding attitudes, sociodemographic factors, and health care behaviors, to obtain information for mitigation initiatives. Through a cluster analysis, three population segments were identified that related differently to environmental pollution, which were constructed based on seven psychosocial variables. Different sociodemographic profiles and self-reported behavioral patterns were found, which should guide policies aimed at improving air quality in cities contaminated by pollution from wood-burning stoves.


2015 ◽  
Vol 117 (4) ◽  
pp. 1377-1398 ◽  
Author(s):  
Jennifer L. Duncan ◽  
Bharath M. Josiam ◽  
Young Hoon Kim ◽  
Alexandria C. Kalldin

Purpose – Focussing on behaviors and attitudes of casual dining patrons, the purpose of this paper is to use a factor-cluster approach to segment patrons into market groups and attempts to determine if differences exist in motivational factors among segments. Design/methodology/approach – Factor-cluster analysis is an alternative segmentation method to more traditionally used methods based on consumer demographics. Push and pull motivators were analyzed through factor analysis to determine important groupings. Then, to identify homogenous subgroups, k-means cluster analysis was conducted to segment 559 survey respondents based on factor importance. Findings – Three diverse groups were identified: Fraternizing Kitchen Fearfuls, Functional Feasters, and Foodie Fanatics. The various push and pull factors appeared to affect segments differently, with each cluster ascribing various importance levels to each of the factors used in the clustering approach. Research limitations/implications – Limitations include the use of a convenience sample and on-campus sampling. Future research should use random sampling methods and obtain surveys from sites not associated with a college campus. Practical implications – Though not often used in hospitality research, factor-cluster analysis can be useful to segment diners based on behavioral intentions and attributes, allowing marketers to more accurately target these diverse consumer segments. Marketing implications for casual dining restaurants are suggested. Originality/value – Using the involvement construct with push/pull motivators, this study groups respondents though factor-cluster analysis. Though used in tourism studies, factor-cluster analysis has yet to be studied in the context of casual dining restaurant patrons.


2016 ◽  
Vol 5 (2) ◽  
pp. 65
Author(s):  
Dewi Rahmawati ◽  
Nurita Toruan-Mathius

<p>Agarwood<br />or gaharu is a plant that has a high economic value in Asia,<br />due to its use for production of incense and traditional<br />medicines. The agarwood formation occurs in the trunk and<br />roots of trees that have been infected by a fungus, such as<br />Acremonium spp. Various fungi were associated with the<br />agarwood formation. Acremonium is generally considered as<br />highly polyphyletic, contains distantly related fungi. A study<br />was done to identify genetic diversities in 10 isolates of<br />Acremonium spp. from four different areas in Indonesia that<br />are associated with Aquilaria and Gyrinops verstigii using the<br />Random Amplified Polymorphic DNA (RAPD) technique.<br />Eight RAPD primers, i.e., OPA 02, OPB 04, OPB 07, OPB 17,<br />OPC 11, OPD 03, OPD 05, and OPE 07 were used in the<br />analyses. The results indicated that similarity index values of<br />the genetic variation ranged from 0.21 to 0.97. Based on the<br />Nei and Li’s similarity coefficients, these values indicating<br />the presence of high degree of genetic variability. The lowest<br />degree of genetic similarity were found between isolates F<br />(Acremonium spp., which is associated with G. verstigii from<br />Mataram, Nusa Tenggara Barat), and LM2 from south coastal<br />area of West Sumatra. The highest genetic similarity value<br />(0.97) was found between isolates Sr2 and Sr4 from Sorong,<br />Papua. Results from the cluster analysis indicated that the<br />isolates could be grouped into two major clusters that were<br />associated with their geographical locations.</p>


2011 ◽  
Vol 66 (3) ◽  
pp. 32-49 ◽  
Author(s):  
Juho Pesonen ◽  
Raija Komppula ◽  
Christopher Kronenberg ◽  
Mike Peters

2020 ◽  
Vol 5 (1) ◽  
pp. 669-676
Author(s):  
Baiba Rivza ◽  
Maiga Kruzmetra ◽  
Peteris Rivza

AbstractRural areas as a space have many features in common: land as a significant resource for economic activity, forests as a natural kind of climate-friendly environment, a low population density, etc. At the same time, the natural resources of rural areas tend to be exploited in a different way, which is determined by the different activities of the population of a particular territorial unit about the exploitation of the natural resources. By employing cluster analysis, an analysis of 110 administrative-territorial units forming the space outside cities of national significance allowed identifying the geographical locations of the least economically developed territorial units and the most specific socio-economic characteristics of the units. Geographically, the territorial units were spread across all the planning regions in Latvia, while business and entrepreneurship there focused on the use of natural resources, i.e. agriculture, forestry and fisheries. The trend has been observed since 2009 and requires seeking innovative ideas for changing the situation, one of which could be the expansion of the e-environment and e-commerce in these areas as well as the establishment of a cooperation network for home producers.


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