• Title/Summary/Keyword: 잠재선호 자료

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Using Mixed Logit Model and Latent Class Model to Analyze Preference Heterogeneity in Choice Experiment Data (선택실험법 자료에서의 선호이질성 분석을 위한 혼합로짓모형 및 잠재계층모형의 활용)

  • Yoo, Byong Kook
    • Environmental and Resource Economics Review
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    • v.21 no.4
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    • pp.921-945
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    • 2012
  • Conditional Logit (CL) model is widely used since its model estimation and interpretation of results of the model is relatively easy, on the other hand, it has the limit of preference heterogeneity of respondents being not fully considered. In this study we used the two models, Mixed Logit (ML) Model and Latent Class Model (LCM) to explain preference heterogeneity of respondents for protection for Boryeong Dam wetland. As a result of the examination for heterogeneity in Boryeong city and six metropolitan areas, we found there was significant difference between two regions. While there was explicit preference heterogeneity within respondents in Boryeong city, we found little heterogeneity within respondents in six metropolitan areas. Thus in the case of six metropolitan areas, CL model can be used for parameter estimation while in the case of Boryeong city, WTP estimates are based on parameter estimates from ML model to reflect the heterogeneity within respondents. Additionally, ML model with interaction and 2-class LCM for respondents in Boryeong city were used to explain the sources of the heterogeneity. The ML model with interaction has advantage of explaining individual unobserved heterogeneity. However The comarison between these two models reflects the fact that LCM provided added information that was not conveyed in the ML model with interaction. Thus, Preference heterogeneity within respondents in this study may be better explained by class level through LCM rather than indiviual level through ML model.

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Values of travel time reliability (통행시간 신뢰성 가치 산정에 관한 연구)

  • Chang, Justin Su-Eun;Kang, Ji-Hye
    • Journal of Korean Society of Transportation
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    • v.26 no.6
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    • pp.133-142
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    • 2008
  • The term, travel time reliability, refers to variations in journey time that travelers cannot predict. This issue has been one of the main research topics in transport studies. This paper, especially, investigates the value of travel time reliability. The marginal substitution rate method is suggested as the way for the valuation and travelers' stated preference data are collected based on a choice experiment. A mode choice model is estimated using the data surveyed. The parameters of travel costs and travel time reliability from the model are used to calculate the marginal substitution rate that is interpreted as the value of travel time reliability. The value is arranged by travel areas of intercity and urban trips and by journey purposes of working and non-working types. The result of this research is expected to be helpful of conducting more cautious economic feasibility studies of transport schemes.

Latent Class Analysis for Mode Choice Behavior (잠재계층분석에 따른 수단선택모형비교분석)

  • Bae, Yun-Gyeong;Jeong, Jin-Hyeok;Kim, Hyeong-Jin
    • Journal of Korean Society of Transportation
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    • v.28 no.3
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    • pp.99-107
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    • 2010
  • Analyzing mode choice among transportation demand estimate procedures is complicated and understanding characteristics of travelers is also difficult. Generally, it is well known that traveler choose mode considering psychometric factors and characteristic besides socio-demographic indicators. Accordingly, many researches has investigated on methodology that can be applied in mode choice to reflect psychometric factor or specific preference. Latent Class Analysis among various studies is recognized as the theoretically potential approach. This study focuses on class segmented using latent class cluster to analyze impact that included psychometric factors and characteristics on mode choice. It also provides evidence that mode choice model for each class and mode choice model not considering latent class are different. This study based on citizen's stated preference and revealed preference on a new transit on the Han river shows that latent class cluster analysis is the potential approach considering latent preference.

Combined RP/SP Model with Latent Variables (잠재변수를 이용한 RP/SP 결합모형에 관한 연구)

  • Kim, Jin-Hui;Jeong, Jin-Hyeok;Son, Gi-Min
    • Journal of Korean Society of Transportation
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    • v.28 no.4
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    • pp.119-128
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    • 2010
  • Mode choice behavior is associated with travelers' latent behavior that is an unobservable preference to travel behavior or mode characteristics. This paper specifically addresses the problem of unobservable factors, that is latent behavior, in mode choice models. Consideration of latent behavior in mode choice models reduces the errors that come from unobservable factors. In this study, the authors defined the latent variables that mean a quantitative latent behavior factors, and developed the combined RP/SP model with latent variables using the mode choice behavior survey data. The data has traveler's revealed preference of existent modes along the Han River and stated preference of new water transit on the Han River. Also, The data has travelers' latent behavior. Latent variables were defined by factor analysis using the latent behaviour data. In conclusion, it is significant that the relationship between traveler's latent behavior and mode choice behavior. In addition, the goodness-of-fit of the mode choice models with latent variables are better than the model without latent variables.

Option and non-use values of rail services (철도의 선택 및 비사용 가치에 관한 연구)

  • Chang, Justin Su-Eun;Kang, Ji-Hye;Lee, Beom-Shin;Yun, Suk-Kang
    • Journal of Korean Society of Transportation
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    • v.26 no.6
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    • pp.143-154
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    • 2008
  • This paper considers option and non-use values of rail services. The total economic value of a given transport service can be classified into use, option and non-use values, other grouping rules can be applied though. The use value is the consumer's surplus from the actual rides of a specific mode. The option value, on the other hand, can be defined as a traveler's willingness to pay for reserving a travel mode, which is not his or her main choice, as a standby alternative. Finally, the non-use value represents benefits that are not attributable to the actual use or option use, but to the vicarious, altruistic, functional and existing worth of a transport service. A stated preference survey based on a double-bounded dichotomous choice is conducted. A survival model is applied to the data collected. Calculations of trip makers' willingness to pay for option and non-use values are based on the parameters of the estimated survival model. Some suggestions for transport appraisal are also presented.

Estimating Value of Time for Freight Transportation in Freight Items using Logit Model (로짓모형을 이용한 화물 품목별 화물운송 시간가치 산정 연구)

  • Ju, Ji-Won;Ha, Heon-Gu
    • Journal of Korean Society of Transportation
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    • v.27 no.5
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    • pp.163-168
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    • 2009
  • Travel time reduction is a benefit in economic analysis. Freight transportation time reduction benefits influence the logistics industry. The objectives of this paper are to estimate the Value of Time (VOT) for transportation time reduction with logit methodology. The data of Gyeonggi-do's domestic road freight transport in 2007 are used. VOT was estimated for five commodities. An average VOT of 19,946 won/vehicle-hr was calculated; transport of electronic parts had the highest VOT. This study will help provide direction for improving Korea's road infrastructure for freight.

Preference Analysis of Forest Therapy Program according to the Stress Level (스트레스 수준에 따른 산림치유 프로그램 선호도 분석)

  • Kim, Youn-Hee
    • Korean Journal of Environment and Ecology
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    • v.30 no.3
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    • pp.434-442
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    • 2016
  • This study examined differences in the preference of the fest therapy program regarding stress level. Using convenience sampling method, the surveys on the preferred type of forest healing program and social and psychological stress scales was carried out for adult male and female. As a basis of Psycho social Stress Scale (PWI-SF: Psychosocial Well-being Index Short Form), the adult 620 people were classified such as healthy group, potential stress group, high-risk stress group. The data were analyzed by use of SPSS 21.0 program. To see the difference in preferences for forest therapy program between the three groups according to stress levels, it was analyzed using one-way ANOVA. Depending on the stress levels, there were differences in the preferences of forest healing program such as breathing, breathing exercises, walking in the forest, listening to the sound of water flowing, viewing the forest, counseling, consultation and expert coaching, stress-related lectures, communication-related lectures, forest bathing wind bathing sun bathing. High-risk stress group preferred cognitive based program such as counseling, consultation and expert coaching, stress-related lectures, communication-related lectures. Healthy group appeared to prefer highly emotional approach of the program to take advantage of the five senses such as breathing, breathing exercises, walking in the forest, listening to the sound of water flowing, viewing the forest, forest bathing, wind bathing, sun bathing. Noticeable preference difference was not observed in the potential stress group. It is hoped this study will serve as a basis for the development of forest healing program regarding stress level.

Potential Job Seekers' Preferences on the Local Jobs: A Case of the POSCO Outsourcing Partner Cooperation in Gwangyang City (지역 일자리에 대한 잠재적 구직자의 선호도 분석: 광양제철소 협력사를 사례로)

  • Lee, Jeong-Rock
    • Journal of the Economic Geographical Society of Korea
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    • v.22 no.3
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    • pp.337-350
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    • 2019
  • The Gwangyang City of Jeonnam Province, is one of the steel cities representing the Korea. Gwangyang Steelworks are the core of the local economy, and 59 firms of POSCO Outsourcing Partner Cooperation(POSPA) have been employed 9,300 to 9,500 peoples, and have been acted as an central incubator for job creation. POSPA, however, are suffering from the retirement of company in young age group, in their 20s and 30s. The purpose of this study is to analyze potential job seekers' perceptions and job preferences for POSPA are suffering from job openings. In order to this research purpose, it used questionary survey, and sample groups were divided into three areas, the Eastern Jeonnam Province, Gwangju, and the Seoul metropolitan area. Potential job seekers' perceptions for POSPA was low, and perceptions on firm and job opportunity information was lower. This characteristics were the same as those of respondents living in eastern South Jeolla Province. Potential job seekers, however, showed high preference for finding job at POSPA. A place-based policy considering the local labor market is needed to resolve the mismatch between the difficulty of finding a labor and the difficulty of finding a job.

A Hedonic Valuation of Urban Green Space in Seoul, Korea (공원일몰제 시행과 도시녹지 서비스에 대한 서울시민들의 선호측정: 아파트 실거래 기반 헤도닉가격접근법을 적용하여)

  • Eom, Young Sook;Choi, Andy S.;Kim, Seung Gyu;Kim, Jin Ok
    • Environmental and Resource Economics Review
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    • v.28 no.1
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    • pp.61-93
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    • 2019
  • This study is to apply Hedonic Price Method in analyzing residents' preferences for three types of urban green space (UGS, rivers, urban parks, and forests) near the apartment complexes in Seoul. Based on hedonic price function estimation results, residents in Seoul preferred for the urban amenity that was provided by the view and accessibility (in terms of both within 10 minutes and distance) of rivers and urban parks near the apartment complexes, but not forests. The annual benefits calculated using the shadow prices are about 550~600 thousand won for the urban park views and about 800 thousand won for the accessibility, which is 2-3 times higher than river views and accessibility. On the other hand, forest views and accessibility did not have significant effects on apartment prices, except the view of Bukhan mountain for the residents of Gangbuk area. Based on the empirical results, Seoul residents' preferences for urban parks would have important implications for the urban park sunset program that will be initiated from July 2020.

Classifying the Latent Group of Elementary School Students Based on Social Achievement Goals Types and the Exploration of Peer Status and Aggression (초등학생의 사회적 성취목표 유형에 따른 잠재집단 분류와 또래지위 및 공격성과의 관련성 탐색)

  • Choi, Eun-Young
    • Korean Journal of School Psychology
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    • v.17 no.2
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    • pp.223-241
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    • 2020
  • The purpose of this study was to explore the latent profiles of social achievement goals and to investigate the differences in peer status (perceived popularity, social preference) and aggression (overt, relational, cyber) among those profile groups. Social achievement goals and cyber aggression data was acquired through self-reporting, and perceived popularity, social preference, and overt and relational aggression were assessed through peer nomination. Applying the latent profile analysis(LPA) to 1,239 elementary school students, three distinct groups of social achievement goals were identified: a development-oriented achievement goal group, an average social goal group, and a overall-high social achievement goal group. Using logistic regression analysis, the relationships between the latent group, peer status, and aggression were examined. The result indicated that the higher the social preference, the lower the probability of belonging to the 'overall-high social achievement goal group'. And the higher the cyber aggression, the lower the probability of belonging to the 'development-oriented achievement goal group'. In addition, the higher the relational aggression of the second time, the higher the probability of belonging to the 'overall-high social achievement goal group' as compared to the 'average social goal group'.