• Title/Summary/Keyword: Taste heterogeneity

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The Land Use-Transportation Model with Taste Heterogeneity (행태의 다양성을 고려한 토지이용 - 교통모형의 개발)

  • 김익기
    • Journal of Korean Society of Transportation
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    • v.9 no.2
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    • pp.87-100
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    • 1991
  • 1960년 초부터 토지이용과 교통의 상관관계를 계량적으로 설명하고자 하는 연구가 진행되어 왔다. 이러한 연구는 경제이론을 배경으로 하여 개발된 McKinnon-Type 모형과 Mills-Type 모형, 그리고 경제학이 반영되어있지 않은 Lowry-Type 모형으로 크게 대별할 수 있다. 이제까지의 이러한 연구는 각 가정의 주거입지선정과 직장선정에 있어서 취향의 다양성(taste heterogeneity)을 고려하여 있지않고 있어 본 연구에서는 로짓모형을 이용하여 Alonso(1964) 모형을 더욱 발전시켜 토지이용-교통의 일반균형 모형(general equilibrium model)을 개발하였다. 이 통계적 토지이용-교통모형은 완전 경쟁하의 일반균형상태에서 주택임대료, 노동력임금, 상품가격이 내생적으로 산출되어지며, 동시에 효율적인 교통체계하에서 일반균형상태의 생산량과 생산부지 그리고 주거수와 주거부지가 어떻게 분배되는지를 내생적으로 결정한다. 이논문에서 효율적인 교통체계라함은 해당 죤에서 도로에 사용된 토지의 임대료가 교통체증비용의 전통행량에 대한 합과 동일하도록 하는 최적교통체증정도(optimal congestion level)을 유지할 수 있는 도로체계를 뜻한다. 또한 비효율적 교통체계하에서는 토지 이용에 왜곡이 생겨서 전체적 비용의 상승으로 각 국민 혹은 각 주민이 생활에서 얻을 수 있는 효용가치가 떨어짐을 분석할 수도 있다.

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Developing a Latent Class Model Considering Heterogeneity in Mode Choice Behavior : A Case of Commuters in Seoul (수단선택의 이질성을 고려한 잠재계층모형(Latent Class Model) 구축: 서울시 통근자를 사례로)

  • Kim, Sung Hoo;Choo, Sangho
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.18 no.2
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    • pp.44-57
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    • 2019
  • It is crucial to understand how people make decisions on mode choice and to accurately predict their behaviors in transportation planning. One of avenues for advancing modeling is, in particular, taking into account for taste heterogeneity in modeling that can incorporate different decision-making processes across group. In this study, we hypothesize that how people make decisions on mode choice would differ by destination in that land use characteristics are heterogeneous by zone even if zones are all in the same area. To this end, we apply Latent Class Modeling (LCM) to commute trips in Seoul by using 2010 household travel diary survey, investigate types of latent classes with the aid of characteristics of destination, and analyze how those classes differently response to factors. The LCM identifies two classes: in the first one, modal split of auto and public transit (bus and metro) is almost half-and-half and the trip destinations are characterized by relatively more residence facilities and less business/commercial facilities; in the second one, public transit has a notably high share and trip destinations are characterized by relatively more business/commercial facilities. In addition, it turns out that demographic and socio-economic variables affect mode choice differently by class.

Evaluation of consumer preferences for general food values in Korea: best-worst scaling approach

  • Chang, Jae Bong
    • Korean Journal of Agricultural Science
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    • v.45 no.3
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    • pp.547-559
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    • 2018
  • Consumers are becoming increasingly interested in what kind of value their food has. Many studies have focused on consumers' preferences and willingness to pay for specific food values. However, few studies have asked consumers to consider or rank the importance of different food values. This paper determined consumers' food values by implementing the best-worst scaling approach and segmented consumers based on the relative importance of general food values that consumers place on them. Among a list of eleven food values (taste, safety, origin, appearance, price, environmental impact, naturalness, convenience, nutrition, fairness, and habit) which was compiled from previous studies on food preferences, on average, safety, nutrition, taste, and price were the most important values to consumers, whereas fairness, habit, appearance, convenience, origin, and environmental impact were the least important values. However, significant variation exists among consumers in terms of the relative importance of food values. To investigate the heterogeneity among consumers, a Latent Class Analysis was performed to classify consumers into subgroups based on responses to questions. Two latent classes were found and characterized as 'safety-nutrition' and 'taste-price'. The 'safety-nutrition' cluster represents 61% of the sample and a group of people who find safety and nutrition centered values to be the most important. Another cluster represents about 39% of the sample, and relative to the first group, this group finds price and taste values to be more important.

Valuing Non-market Benefits of Water Quality Improvements in Paldang Reservoir and Han River : A Choice Experiments Study (팔당호 및 한강 수질개선의 비시장가치 측정 - 속성가치선택법을 이용하여 -)

  • Kim, Yong-Joo;Yoo, Young Seong
    • Environmental and Resource Economics Review
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    • v.14 no.2
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    • pp.337-379
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    • 2005
  • This choice experiments study values the non-market benefits of water quality improvements in Paldang Reservoir and Han River, located in Korea. A fractional factorial orthogonal design was used to produce four different choice sets per respondent, before employing choice examples to screen out irrational responses. The panel mixed logit model (with normal distributions for the attributes) fit the data best, indicating that allowing for both heterogeneous preferences across households and correlation between repeated choices may represent actual choice behaviors best of all the estimated models. The significant standard deviations of the random attributes suggest that the taste for each attribute may vary considerably in the population. The annual benefits to the Seoul Metropolitan area for a small (large) enhancement of the clarity of water, a gradual removal of unpleasant waters, and a gradual improvement in biodiversity, were estimated to be some 1.5 trillion (1.7 trillion) Won, 2 trillion Won, and 1.7 trillion Won, respectively, with 1.8~2.6 trillion Won for at least two of them occurring together. The study also discusses potential biases germane to choice experiments studies of this type.

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A Comparative Study on Landscape Composition of Palace Gardens in Korea, China, Japan - Focused on Changdeokgung Palace, Summer Palace and Sento Imperial Palace - (한·중·일 궁궐정원의 경관 구성 비교 연구 - 창덕궁(昌德宮), 이화원( 頤和園), 선동어소(仙洞御所)를 중심으로 -)

  • Yoon, Sang-Jun;An, Seung-Hong;Yoon, Sung-Yung;Yeom, Sung-Jin;Park, Hee-Soung;Lee, Won-Ho
    • Journal of the Korean Institute of Traditional Landscape Architecture
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    • v.33 no.4
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    • pp.52-64
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    • 2015
  • This study was carried out investigation of characteristics palace gardens representing historical background, political and cultural identity in Korea, China, and Japan. It had been done a comparative analysis in formation, location and site layout, site composition, landscape elements and planning, landscape technique and vista for palace gardens in East asia's three countries. In order to process this study, Changdeokgung Palace in Korea, Summer Palace in China and Sento Imperial Palace in Japan were selected based on similar status. therefore it provide theoretical foundation to investigate the identity of palace gardens in three countries. Furthermore the study determined homogeneity(similarity) and heterogeneity(differentiation) of the characteristics between palace gardens in three countries through the in-depth comparative analysis in order to investigate identity of palace gardens in three countries and to present the value of Korean palace garden. Homogeneity and heterogeneity between palace gardens in three countries deducted from the study were summarized as follows; First, it shows indigenous style of Korean garden throughout adapting natural terrain without natural destruction. Second, various symbolic elements which ie reflected East asian ideologies present in the gardens. Chinese thoughts and technique were influenced in the development of palace garden in Korea and implemented in similar ways of China. Homogeneity of utilizing waterscape could be found in three countries. Lastly, Palace garden in Changdeokgung had played a role as cultural place with taste for the arts rather than representing authority of the throne. It appears to be similar in China and Japan. The reason how Korea, China and Japan established their own independent style is that each palace garden had been developed to embrace indigenous culture with introduced elements even though they were closely bound up with culture.

Mapping Categories of Heterogeneous Sources Using Text Analytics (텍스트 분석을 통한 이종 매체 카테고리 다중 매핑 방법론)

  • Kim, Dasom;Kim, Namgyu
    • Journal of Intelligence and Information Systems
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    • v.22 no.4
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    • pp.193-215
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    • 2016
  • In recent years, the proliferation of diverse social networking services has led users to use many mediums simultaneously depending on their individual purpose and taste. Besides, while collecting information about particular themes, they usually employ various mediums such as social networking services, Internet news, and blogs. However, in terms of management, each document circulated through diverse mediums is placed in different categories on the basis of each source's policy and standards, hindering any attempt to conduct research on a specific category across different kinds of sources. For example, documents containing content on "Application for a foreign travel" can be classified into "Information Technology," "Travel," or "Life and Culture" according to the peculiar standard of each source. Likewise, with different viewpoints of definition and levels of specification for each source, similar categories can be named and structured differently in accordance with each source. To overcome these limitations, this study proposes a plan for conducting category mapping between different sources with various mediums while maintaining the existing category system of the medium as it is. Specifically, by re-classifying individual documents from the viewpoint of diverse sources and storing the result of such a classification as extra attributes, this study proposes a logical layer by which users can search for a specific document from multiple heterogeneous sources with different category names as if they belong to the same source. Besides, by collecting 6,000 articles of news from two Internet news portals, experiments were conducted to compare accuracy among sources, supervised learning and semi-supervised learning, and homogeneous and heterogeneous learning data. It is particularly interesting that in some categories, classifying accuracy of semi-supervised learning using heterogeneous learning data proved to be higher than that of supervised learning and semi-supervised learning, which used homogeneous learning data. This study has the following significances. First, it proposes a logical plan for establishing a system to integrate and manage all the heterogeneous mediums in different classifying systems while maintaining the existing physical classifying system as it is. This study's results particularly exhibit very different classifying accuracies in accordance with the heterogeneity of learning data; this is expected to spur further studies for enhancing the performance of the proposed methodology through the analysis of characteristics by category. In addition, with an increasing demand for search, collection, and analysis of documents from diverse mediums, the scope of the Internet search is not restricted to one medium. However, since each medium has a different categorical structure and name, it is actually very difficult to search for a specific category insofar as encompassing heterogeneous mediums. The proposed methodology is also significant for presenting a plan that enquires into all the documents regarding the standards of the relevant sites' categorical classification when the users select the desired site, while maintaining the existing site's characteristics and structure as it is. This study's proposed methodology needs to be further complemented in the following aspects. First, though only an indirect comparison and evaluation was made on the performance of this proposed methodology, future studies would need to conduct more direct tests on its accuracy. That is, after re-classifying documents of the object source on the basis of the categorical system of the existing source, the extent to which the classification was accurate needs to be verified through evaluation by actual users. In addition, the accuracy in classification needs to be increased by making the methodology more sophisticated. Furthermore, an understanding is required that the characteristics of some categories that showed a rather higher classifying accuracy of heterogeneous semi-supervised learning than that of supervised learning might assist in obtaining heterogeneous documents from diverse mediums and seeking plans that enhance the accuracy of document classification through its usage.