The purpose of this study is to estimate the economic value of boat fishing experience marine tourism activity in Jeju Island’s Chagwido. The economic value is estimated as consumer surplus using count data models including the truncated Poisson model and the truncated negative binominal distribution model. This study collects the effective 504 questionnaires from boat fishing experience tourists in Jeju Island’s Chagwido. The truncated negative binominal distribution model was statistically more suitable and valid than other models. The truncated negative binominal distribution model was applied to estimate consumer surplus as economic value from boat fishing experience tourism activity in Jeju Island’s Chagwido. A consumer surplus value per trip was estimated as about 209,900 won. The annual economic value from boat fishing experience tourism activity was estimated as 273,700 won in Jeju Island’s Chagwido. Consequently, boat fishing experience marine tourism activity has a very large economic value in Jeju Island.

PURPOSES: The goal of this study is to analyze the travel cost according to transferring from rotary to roundabout in Korea. METHODS: This study gives particular attentions to investigating the existing 48 rotaries in Korea and building the networks of before and after improvements using VISSIM, and analyzing their travel costs. RESULTS: The main results are as follows. First, from the field survey, the domestic rotaries were analyzed to need many improvements of geometric structure for the effective operation. Second, the difference of travel cost at 3-legged rotaries were evaluated to be less than other types of rotaries due to low traffic volume. Finally, the travel cost of 4-legged and multi-legged rotaries were analyzed to rapidly increase by increasing volume. CONCLUSIONS: This study analyzes the effects using both real and simulation data unlike the existing studies. Also, this study suggests the future research topics which compare and evaluate the relations between real data and simulation outputs.

일반적으로 도로정책평가 시, 이상적인 도로 교통조건에서 수집한 교통류 자료에 근거하여 BPR식 형태로 개발한 통행비용함수식을 일반화하여 적용한다. 하지만, BPR 형태로 개발된 모형은 장래교통량예측이나 통행행태분석에 있어서 적용이 도로 교통환경을 묘사하는데 적합하지 않은 것으로 보고되고 있다.(Spiess, 1989 ; Singh, 1999) 따라서 본 연구는 이러한 문제점을 해결하기 위해, 분석대상지의 도로 교통조건에 적합하도록 미시적 교통류시뮬레이터기반(Micro traffic Simulator Based : MSB)으로 생성된 자료로 통행비용함수를 개발, 검증하는 분석방법론을 제시하였으며, 주요 연구결과는 다음과 같다. 첫째, 이상적인 도로교통조건 이외의 상황에 대한 도로교통정책 평가에 적용이 용이하도록, 단시간에 다량의 교통류 자료생성이 가능한 미시적 교통류시뮬레이터(VISSIM)를 이용하여 분석대상지에 적합한 통행비용함수를 개발하는 방법론을 제시하였다. 둘째, VISSIM을 이용하여 생성한 분석자료를 기반으로 하여 BPR 함수식과 MSB 함수식을 각각 개발하고, 통계값 및 산포도를 이용한 모형들의 비교분석을 통하여 MSB 함수식의 활용가능성을 검증하였다.

The aim of this paper is to evaluate users' benefit values of theme park using Travel Cost Method with special reference to Woobang Tower Land in Taegu for the estimation of economic values. This research is mainly based on questionnaire survey of 100 users of the theme park. Socio-economic factors such as income, year of education, annual income, age and money(travel cost) are analysed from 5 residential areas of the respondents. Multiple regression analysis was used for the evaluation of annual number of park visitings based on the analysis. The regression model shows NV = α + β1TC + β2INC + β3EDU + β4AGE (NV : Annual Number of Visitings, TC : Travel Cost, INC : Annual Income, EDU : Years of Education, AGE : Age). Regarding to visitors demand curve based on the equation showed that annual economic values of Woobang Tower Land was estimated as 50billion Korean Won.