• Title/Summary/Keyword: Fishing village experience recreation village

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Analysis of Preference for Fishing Village Experience Recreation Village According to Individual's Background Characteristics (개인의 배경적 특성에 따른 어촌체험휴양마을 선호도 분석)

  • Choi, Kyuchul;Kim, Jungtae;Lee, Seogu;Kang, Dongseon
    • Journal of The Korean Society of Agricultural Engineers
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    • v.63 no.2
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    • pp.33-40
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    • 2021
  • The purpose of this study is to analysis the influence of personal backgrounds on the preference of fishing village experience recreation villages. As the analysis method, binary logistic regression analysis was used. Dependent variables are experience recreation villages (rural and fishing). The independent variables consist of 9 groups of people: gender, age, family type, marital status, presence of children, principal companion, fishing village image, visit experience villages, recognition of fishing village experience recreation village. As a result of the analysis, it was found that the tourist's gender, age, family type, marital status, presence of children, principal companion, fishing village image, visit experience villages, recognition of fishing village experience recreation village influence the preference of fishing village experience recreation village. By characteristics of each group, it was found that male prefer fishing village experience recreation villages 1.597 times as much as female, and those with a positive image about fishing villages prefer fishing village experience recreation villages as much as 2.644 times than those with negative images. In addition, it was found that those who visited the fishing village experience and recreation village prefer the fishing village experience village about six times more than those who have never visited.

A Study on Influence of Fishing Villages Experience Program Choice by the Tourist Characteristics (관광객 특성에 따른 어촌체험프로그램 선택의 영향력 분석)

  • Lee, Seo-Gu;Choi, Kyu-Chul;Kim, Jung-Tae
    • Journal of Korean Society of Rural Planning
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    • v.26 no.3
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    • pp.1-12
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    • 2020
  • The purpose of this study is to analysis the influence of fishing villages experience programs choice by the tourist characteristics. As an analysis method, a statistical technique of multinomial logistic regression was used. The dependent variable have typified about 70 fishing experience programs, such as tidal-flat experience, fishery experience, and fishing experience, operated by the fishing village experience recreation villages into 9 programs. The independent variables consisted of 7 groups of people: gender, age, marital status, presence of children, experience of visiting a village in a rural and fishing village experience, preference of a village in a recreational experience, and recognition of a village in a fishing village experience. As a result of analysis, no significant differences were found that the selection group preferring 'fishing culture experience', 'leports experience', 'ecological craft experience', and 'festival and event experience' in the selection of fishing village experience program compared to the group choosing 'rural experience'. On the other hand, the group preferring 'tidal flat experience' analysis that 'married' is about 14 times higher than 'unmarried', and the group preferring 'fishing village experience' is 9.55 times higher than the group preferring 'rural village experience'. In the group preferring 'fishery experience' and 'fishing experience', the group preferring 'fishing experience recreation village' was 9.21 times and 14.34 times higher than the group preferring 'rural experience recreation village'. In the 'food experience', 'married' was 25 times higher than 'unmarried'.

An Analysis of the Experience of Visitors of Fishing Experience Recreation Village Using Big Data - A Focus on Baekmi Village in Hwaseong-si and Susan Village in Yangyang-gun - (빅데이터를 활용한 어촌체험휴양마을 방문객의 경험분석 - 화성시 백미리와 양양군 수산리 어촌체험휴양마을을 대상으로 -)

  • Song, So-Hyun;An, Byung-Chul
    • Journal of Korean Society of Rural Planning
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    • v.27 no.4
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    • pp.13-24
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    • 2021
  • This study used big data to analyze visitors' experiences in Fishing Experience Recreation Village. Through the portal site posting data for the past six years, the experience of visiting Fishing Experience Villages in Baekmi and Susan was analyzed. The analysis method used Text mining and Social Network Analysis which are Big data analysis techniques. Data was collected using Textom, and experience keywords were extracted by analyzing the frequency and importance of experience texts. Afterwards, the characteristics of the experience of visiting the Fishing Experience Village were identified through the analysis of the interaction between the experience keywords using 'U cinet 6.0' and 'NetDraw'. First, through TF and TF-IDF values, keywords such as "Gungpyeong Port", "Susan Port", and "Yacht Marina" that refer to the name of the port and the port facilities appeared at the top. This is interpreted as the name of the port has the greatest impact on the recognition of the Fishing Experience Villages, and visitors showed a lot of interest in the port facilities. Second, focusing on the unique elements of port facilities and fishing villages such as "mud flat experience", "fishing village experience", "Gungpyeong port", "Susan port", "yacht marina", and "beach" through the values of degree, closeness, and betweenness centrality interpreted as having an interaction with various experiences. Third, through the CONCOR analysis, it was confirmed that the visitor's experience was focused on the dynamic behavior, the experience program had the greatest influence on the experience of the visitor, and that the experience of the static and the dynamic behavior was relatively balanced. In conclusion, the experience of visitors in the Fishing Experience Villages is most affected by the environment of the fishing village such as the tidal flats and the coast and the fishing village experience program conducted at the fishing port facilities. In particular, it was found that fishing port facilities such as ports and marinas had a high influence on the awareness of the Fishing Experience Villages. Therefore, it is important to actively utilize the scenery and environment unique to fishing villages in order to revitalize the Fishing Experience Villages experience and improve the quality of the visitor experience. This study is significant in that it studied visitors' experiences in fishing village recreation villages using big data and derived the connection between fishing village and fishing village infrastructure in fishing village experience tourism.

A Study on Facilities Planning for Recreational Fishing Complexes (바다낚시복합타운 시설계획에 관한 연구)

  • Kang, Young-Hun;Lee, Han-Seok
    • Journal of Navigation and Port Research
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    • v.40 no.6
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    • pp.431-440
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    • 2016
  • This paper suggests facility planning ideas for recreational fishing complexes suitable for family anglers. Existing recreational fishing parks are only equipped with facilities for angling. There are many needs for recreational fishing complexes in coastal fishing villages that include not only angling facilities but also various marine leisure and sports facilities. In this paper we suggest concepts for recreational fishing complexes and define four types of complexes in terms of facilities planning. These four types of complexes are: 1) suburban leisure sports, 2) suburban healing and relaxation, 3) penturban experience and activities, and 4) penturban culture and recreation. Then we propose facility composition in detail for each type. Also we suggest site selection criteria for the village complex, facility infrastructure planning ideas, and leisure facilities (elementary and specialized) for recreational fishing complexes.