• Title/Summary/Keyword: 도시 의사결정

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Seismic Zonation on Site Responses in Daejeon by Building Geotechnical Information System Based on Spatial GIS Framework (공간 GIS 기반의 지반 정보 시스템 구축을 통한 대전 지역의 부지 응답에 따른 지진재해 구역화)

  • Sun, Chang-Guk
    • Journal of the Korean Geotechnical Society
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    • v.25 no.1
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    • pp.5-19
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    • 2009
  • Most of earthquake-induced geotechnical hazards have been caused by the site effects relating to the amplification of ground motion, which is strongly influenced by the local geologic conditions such as soil thickness or bedrock depth and soil stiffness. In this study, an integrated GIS-based information system for geotechnical data, called geotechnical information system (GTIS), was constructed to establish a regional counterplan against earthquake-induced hazards at an urban area of Daejeon, which is represented as a hub of research and development in Korea. To build the GTIS for the area concerned, pre-existing geotechnical data collections were performed across the extended area including the study area and site visits were additionally carried out to acquire surface geo-knowledge data. For practical application of the GTIS used to estimate the site effects at the area concerned, seismic zoning map of the site period was created and presented as regional synthetic strategy for earthquake-induced hazards prediction. In addition, seismic zonation for site classification according to the spatial distribution of the site period was also performed to determine the site amplification coefficients for seismic design and seismic performance evaluation at any site in the study area. Based on this case study on seismic zonations in Daejeon, it was verified that the GIS-based GTIS was very useful for the regional prediction of seismic hazards and also the decision support for seismic hazard mitigation.

Development of Evaluation Model for ITS Project using the Probabilistic Risk Analysis (확률적 위험도분석을 이용한 ITS사업의 경제성평가모형)

  • Lee, Yong-Taeck;Nam, Doo-Hee;Lim, Kang-Won
    • Journal of Korean Society of Transportation
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    • v.23 no.3 s.81
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    • pp.95-108
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    • 2005
  • The purpose of this study is to develop the ITS evaluation model using the Probabilistic Risk Analysis (PRA) methodology and to demonstrate the goodness-of-fit of the large ITS projects through the comparative analysis between DEA and PRA model. The results of this study are summarized below. First, the evaluation mode] using PRA with Monte-Carlo Simulation(MCS) and Latin-Hypercube Sampling(LHS) is developed and applied to one of ITS projects initiated by local government. The risk factors are categorized with cost, benefit and social-economic factors. Then, PDF(Probability Density Function) parameters of these factors are estimated. The log-normal distribution, beta distribution and triangular distribution are well fitted with the market and delivered price. The triangular and uniform distributions are valid in benefit data from the simulation analysis based on the several deployment scenarios. Second, the decision making rules for the risk analysis of projects for cost and economic feasibility study are suggested. The developed PRA model is applied for the Daejeon metropolitan ITS model deployment project to validate the model. The results of cost analysis shows that Deterministic Project Cost(DPC), Deterministic Total Project Cost(DTPC) is the biased percentile values of CDF produced by PRA model and this project need Contingency Budget(CB) because these values are turned out to be less than Target Value(TV;85% value), Also, this project has high risk of DTPC and DPC because the coefficient of variation(C.V) of DTPC and DPC are 4 and 15 which are less than that of DTPC(19-28) and DPC(22-107) in construction and transportation projects. The results of economic analysis shows that total system and subsystem of this project is in type II, which means the project is economically feasible with high risk. Third, the goodness-of-fit of PRA model is verified by comparing the differences of the results between PRA and DEA model. The difference of evaluation indices is up to 68% in maximum. Because of this, the deployment priority of ITS subsystems are changed in each mode1. In results. ITS evaluation model using PRA considering the project risk with the probability distribution is superior to DEA. It makes proper decision making and the risk factors estimated by PRA model can be controlled by risk management program suggested in this paper. Further research not only to build the database of deployment data but also to develop the methodologies estimating the ITS effects with PRA model is needed to broaden the usage of PRA model for the evaluation of ITS projects.

학교교육과정의 인구교육내용분석

  • 박덕규
    • Korea journal of population studies
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    • v.11 no.1
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    • pp.50-57
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    • 1988
  • This study focused on the anding of Inchon's identity The empirical method and ethnomethodological approaches were used to collect the data. Among members ofcitizen movement groups,government workers,and students who are living inInchon were selected as 613 samples using a purposive sampling method. MultipleClassification Analysis (MCA) and cross-tabulation methods were used in theanalysisThe study of identity in an area is important in terms of providing the solution ofthe problem in a region and social integration of the citizens. The scores of the indexabout Inchon's identity are quite low and more than half of the respondents to allthree groups showed the middle position of the scores from the identity index. By thecharacteristics of the respondents,female,unmarried single,30 years or more,lowerincome groups showed relatively higher identity index scores than other counter-parts . And professional,administrative,clerical workers'identity index scores werehigher than people who work at sales,service,and agricultural sectors. Respondentswith 2 years of college or more,with intentions to donate special monies for cultural, social welfare, environmental reform,persons who want to live in Inchon for along period of time equipped with a stronger identity index.For the character of Inchon's identity,there are no identity,making it fromnow on,capacity or broad-minded city,vanguard pioneer,displeased, Oiversity/multiplicity of the city,defense spirit from foreign invasion,entrancecity from the world in that order. Therefore,it is hard to say what exactly Inchon'simage is in a single word. However,Inchon can be characterized as a diverse citywith capacity to live together without any serious conflicts among citizens who come from Seoul,Kyunggi-Do,Chungchung-Do,Chunla-Do,Kyungsang-Do,and foreign countries including North Korea. These facts imply that Inchon should continue topursue this image as a diverse city with capacity as an identity pursuing towardsworld city and hub city of North East Asia.ty as an identity pursuing towardsworld city and hub city of North East Asia. East Asia.

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Development of Trip Generation Type Models toward Traffic Zone Characteristics (Zone특성 분할을 통한 유형별 통행발생 모형개발)

  • Kim, Tae-Ho;Rho, Jeong-Hyun;Kim, Young-Il;Oh, Young-Taek
    • International Journal of Highway Engineering
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    • v.12 no.4
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    • pp.93-100
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    • 2010
  • Trip generation is the first step in the conventional four-step model and has great effects on overall demand forecasting, so accuracy really matters at this stage. A linear regression model is widely used as a current trip generation model for such plans as urban transportation and SOC facilities, assuming that the relationship between each socio-economic index and trip generation stays linear. But when rapid urban development or an urban planning structure has changed, socio-economic index data for trip estimation may be lacking to bring many errors in estimated trip. Hence, instead of assuming that a socio-economic index widely used for a general purpose, this study aims to develop a new trip generation model by type based on the market separation for the variables to reflect the characteristics of various zones. The study considered the various characteristics (land use, socio-economic) of zones to enhance the forecasting accuracy of a trip generation model, the first-step in forecasting transportation demands. For a market separation methodology to improve forecasting accuracy, data mining (CART) on the basis of trip generation was used along with a regression analysis. Findings of the study indicated as follows : First, the analysis of zone characteristics using the CART analysis showed that trip production was under the influence of socio-economic factors (men-women relative proportion, age group (22 to 29)), while trip attraction was affected by land use factors (the relative proportion of business facilities) and the socio-economic factor (the relative proportion of third industry workers). Second, model development by type showed as a result that trip generation coefficients revealed 0.977 to 0.987 (trip/person) for "production" 0.692 to 3.256 (trip/person) for "attraction", which brought the necessity for type classifications. Third, a measured verification was conducted, where "production" and "attraction" showed a higher suitability than the existing model. The trip generation model by type developed in this study, therefore, turned out to be superior to the existing one.

Disaster Risk Assessment using QRE Assessment Tool in Disaster Cases in Seoul Metropolitan (서울시 재난 사례 QRE 평가도구를 활용한 재난 위험도 평가)

  • Kim, Yong Moon;Lee, Tae Shik
    • Journal of Korean Society of Disaster and Security
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    • v.12 no.1
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    • pp.11-21
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    • 2019
  • This study assessed the risk of disaster by using QRE(Quick Risk Estimation - UNISDR Roll Model City of Basic Evaluation Tool) tools for three natural disasters and sixteen social disasters managed by the Seoul Metropolitan Government. The criteria for selecting 19 disaster types in Seoul are limited to disasters that occur frequently in the past and cause a lot of damage to people and property if they occur. We also considered disasters that are likely to occur in the future. According to the results of the QRE tools for disaster type in Seoul, the most dangerous type of disaster among the Seoul city disasters was "suicide accident" and "deterioration of air quality". Suicide risk is high and it is not easy to take measures against the economic and psychological problems of suicide. This corresponds to the Risk ratings(Likelihood ranking score & Severity rating) "M6". In contrast, disaster types with low risk during the disaster managed by the city of Seoul were analyzed as flooding, water leakage, and water pollution accidents. In the case of floods, there is a high likelihood of disaster such as localized heavy rains and typhoons. However, the city of Seoul has established a comprehensive plan to reduce floods and water every five years. This aspect is considered to be appropriate for disaster prevention preparedness and relatively low disaster risk was analyzed. This corresponds to the disaster Risk ratings(Likelihood ranking score & Severity rating) "VL1". Finally, the QRE tool provides the city's leaders and disaster managers with a quick reference to the risk of a disaster so that decisions can be made faster. In addition, the risk assessment using the QRE tool has helped many aspects such as systematic evaluation of resilience against the city's safety risks, basic data on future investment plans, and disaster response.

A Survey on the Understanding of Breast-feeding in Pregnant Woman (임신시 모유수유에 대한 인식조사)

  • Seo, Jeong Wan;Kim, Yong Joo;Lee, Kee Hyoung;Kim, Jae Young;Sim, Jay G;Kim, Hae Soon;Ko, Jae Sung;Bae, Sun Hwan;Park, Hye Sook;Park, Beom Soo
    • Clinical and Experimental Pediatrics
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    • v.45 no.5
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    • pp.575-587
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    • 2002
  • Objective : To investigate the understanding of breast-feeding in pregnant woman and the proper way of encouraging breast-feeding. Methods : Each questionnaire included items about demographic characteristics and the understanding of breast-feeding. The questionnaires were filled up by pregnant women visiting obstetric clinics in Seoul and its vicinities, Busan, Choongjoo and Chungjoo from July 2001 to August 2001. One thousand, two hundred ninety questionnaires were analysed by Chi square tests and multiple logistic regressions. Results : The majority of pregnant women(87.4%) planned breast-feeding. Forty three percent of them had plans to breast-feed for 4-6 months. There were no differences in the level of education, the family size and the source of information about breast-feeding in planning to breast-feed (P>0.05). The main reasons for not choosing to breast-feed were returns to work(41.3%), previous failures of breast-feeding(17.4%), concerns about insufficient amount of breast milk(10.9%), breast and nipple problems(10.3%) and maternal illness(9.4%). The average score on the test of the understanding about breast-feeding was 59.7/100. The average scores on the understanding about the methods and advantages of breast-feeding were 45.3/100 and 86.1/100, respectively. The maternal status of employment, previous history of breast-feeding, the time of decision to breastfeed, person advocating breast-feeding and the understanding on the advantages of breast-feeding were significant determinant factors in planning to breast-feed(P<0.05). Conclusion : Pediatricians should take steps to make an effort to increase the breast-feeding rate and to encourage breast-feeding by timely education. Beyond the medical field, political and social supports for breast-feeding are urgently needed.

A Study on the Rationality of Wives' Decision Making in Purchasing - comparisons, Between Working and nonworking Wives- (도시주부의 購買의사결정 합리성에 관한 연구 -취업주부와 비취업주부의 비교분석-)

  • Shim, Sook;Kim, Kee-Ok
    • Journal of Families and Better Life
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    • v.5 no.2
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    • pp.109-125
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    • 1987
  • Previous studies show that working wives in the market contribute to the family economy that affects the family member's behaviors as consumers. Accordingly, the consumer behavior among working wives would be differ form that among nonworking wives. As the number of working wives in the market is increasing, this study focuses on the estimation of the degree of rationality in purchasing decision making among wives in relation to their working status. Therefore, this study attempts to construct an rationality index of a purchasing decision making both at a high and a low involvement situation by working and nonworking wives, and analyzes the differences in the results of the two groups. This study also examines how the rationality indices vary with the selected socioeconomic variables. The data are obtained from self-administered questionnaires from a sample of 217 working and 191 nonworking wives at Seoul and Seongnam in 1986. The statistical methods used in this study are Factor Analysis, Multiple Regression, and Analysis of Variances. The major findings of this study are as follows; 1) The mean value of the rationality index among nonworking wives is higher than that among working wives. Under a high involvement situation, the mean value of the rationality index among working wives is negative. Therefore, it is likely that nonworking wives make purchasing decisions more rationally than working wives. 2) The higher the degree of wive's education, the more rational the purchasing decision making. Under a low involvement situation, the higher the monthly family income, the more rational the purchasing decision making . under the same situation, the shorter the duration of marriage , the more rational the purchasing decision making. 3) Under a low involvement situation, the rationality indices of working wives vary with their occupations. The rationality indices among those in selling and service jobs are lower than those among those in professional jobs. 4) The impact of the selected socio-economic variables on the degree of the rationality in purchasing decision making differs depending on whether the wife is working or not. Under a low involvement situation, the positive impact of the monthly family income on the rationality in purchasing decision making is stronger among nonworking wives than among working wives. Under the same situation, the negative impact of the duration of marriage on the rationality is stronger among nonworking wives than among working wives.

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Planning Indicators for Spatial Characteristics Evaluation of Urban Public Space - the Weight Analysis for Activation of Public Space (도시 공공공간의 공간적 특성 평가를 위한 계획 지표 연구 - 공공공간 활성화를 위한 중요도 분석)

  • Lee, Hoon-Gill;Lee, Joo-Hyung
    • The Journal of the Korea Contents Association
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    • v.15 no.9
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    • pp.588-598
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    • 2015
  • This study derives planning items and indicators that should be considered in order to activate public space in terms of the spatial characteristics of the public space was to analysis the importance in the public officials/academics and practitioners side. Derived in accordance with spatial planning topics characteristic of public space through previous research to them and after a detailed selection indicators in Christopher Alexander's Pattern Language was so lead through the FGI. Derived surface was subjected to the significance analysis AHP through the survey expert. For this study, the importance of the spatial characteristics of the public space are working professionals accessibility, publicity, connectivity, spatiality, amenity, placeness the order, public officials/academics accessibility, amenity, placeness, connectivity, spatiality, publicity the order. In addition, professionals working in the comprehensive analysis of the most important priority was to recognize the hierarchy of open space, public officials/academics appeared to have an open space on the street the most important. The results obtained in this study will be used as an index that can be used in planning and evaluation for consideration of the next active public space.

Trend analysis of Domestic water Consumption Depending upon the characteristics of using tap water and economical parameters (수돗물 사용특성과 경제적 요인에 따른 가정용수 소비 경향의 분석)

  • Choi, Sun-Hee;Kim, Sang-Hyun
    • Proceedings of the Korea Water Resources Association Conference
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    • 2007.05a
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    • pp.121-125
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    • 2007
  • 물 수요예측을 실시함에 있어서 사회 경제의 장래동향과 도시의 특성 및 발전 동향을 반영하여 수행하여야 한다. 그러나 지금까지의 관행으로는 수도계획에서 사용할 수 있는 실사용량에 대한 조사와 통계가 이루어지지 않고 있다. 실제 현장에서 얻은 자료를 토대로 하여 수도계획 및 설계에 사용할 수 있는 신뢰성 있는 설계인자의 도출이 필요하다. 본 연구에서는 급수지역의 각 조사 가정의 물 사용량을 실측 조사하여 얻어진 자료를 토대로 하여 물 수요 구조의 변화를 파악할 수 있는 수단의 하나로 가정의 수돗물 사용특성과 경제적 요인에 따른 가정용수의 사용특성 경향을 파악하고자 하였다. 가정에서 사용된 용수량의 조건별 경향성을 분석하기 위하여 한국수자원공사에서 2002년부터 2006년까지 3년여에 걸쳐 표본 집단이 되는 전국 140개 가구에 유량계를 설치하여 유량 자료를 획득하였고, 설문조사를 실시하여 각 가정의 물 사용 특성인자들을 조사하였다. 이 자료를 대상으로 비교적 자료의 신뢰성을 높이기 위한 자료의 선별과정을 거쳤다. 이렇게 선별된 자료들을 경향성 분석에 쓰이는 Mann-Kendall test와 Spearman's Rho test를 이용하여 분석하였다. 그 결과를 바탕으로 가정 용수 소비패턴의 증가 감소에 영향을 끼치는 인자들을 추출하였다. 실측자료를 분석을 통하여 나타난 결과들을 바탕으로 용수 수요처의 조건별 특성을 분석하고, 이를 활용한 생활용수 예측모형을 개발함으로써 합리적인 수요예측에 의한 용수수요의 과다예측 우려를 해소하고, 경제적 수도시설계획을 수립하는 등 과학적 물 수요관리 정책 수립을 위한 의사결정도구가 제공될 수 있다.c}$C의 저온에서 저장한 감자는 $20^{\circ}$C에서 저장한 감자보다 발아의 지연과 함께 낮은 PGA증가율을 보였다.다 높았으며, 전반적인 선호도의 경우 G3(1.5%)를 가장 선호하는 것으로 나타났다. 백년초 분말 첨가 도토리묵의 경우 색상은 0.5% 첨가한 O1이 가장 높은 값을 나타냈으며, 외관은 1.5% 첨가한 O3가 가장 높은 값을 보였다. 향미와 신맛의 경우는 백년초 분말의 첨가량이 증가됨에 따라서 유의적으로 증가했다(p<0.001). 씹힘성, 탄력성, 견고성의 경우는 대조군이 가장 높았으며, 백년초 분말 첨가량이 증가함에 따라 유의적으로 낮아졌다(p<0.001), 떫은맛의 경우는 백년초 분말에 의한 신맛의 영향으로 1% 백년초 분말이 첨가된 O2 가장 높게 나타났다. 전반적인 선호도는 0.5% 백년초 분말이 첨가된 O1이 가장 높게 나타났다. 따라서 녹차와 백년초의 기능성을 살린 도토리묵을 실용화시키는 효과적인 배합비는 녹차 분말 1.5% 첨가와 백년초 분말 첨가 0.5%가 바람직한 것으로 보이며 백년초 분말은 1%까지도 가능한 것으로 나타났다. 그러므로 기능성 식품 소재로써 도토리묵에 녹차와 백년초 분말을 첨가하는 것은 충분히 활용할만한 가치가 있다고 사료된다.론적으로, 비육돈 사료 내 3.32%의 호맥 사일리지의 혼합급여는 혈액 내 코티졸 함량, 도체육의 명도와 황색도, 지방산 조성 및 영양소 소화율에 영향을 미치는 것으로 사료되나 이에 대한 보다 많은 연구가 필요할 것으로 판단된다.니티와 공원과의 관계로 공원 설계와 관리에 있어서 영국에서는 커뮤니티가 직접 고객(client)으로서 역

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Price Response Function With and Without Choice Set Information in Denim Jeans Market (고려상품군의 유.무에 따른 가격반응함수의 비교연구)

  • Kwak, Youngsik;Lee, Jin-Hwa
    • Journal of the Korean Society of Clothing and Textiles
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    • v.28 no.910
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    • pp.1273-1281
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    • 2004
  • The primary purpose of this study is to suggest a new methodology for calibration of a continuous price response function and to compare the differences in the price response function with and without choice set information. Through the new methodology, the two-staged conjoint analysis, the continuous price response function far jeans market was calibrated. Three steps were required to complete the two-staged conjoint analysis. Step one provided respondents with both a written and a visual description of two different randomly selected styles and colors of denim jeans. In step two respondents were asked to choose the combination of attributes they intended to purchase. Based upon the literature review, these four attributes included: brand, style, price, and color. Respondents were required to assess their purchase intentions for 32 combinations by marking Yes if she/he would purchase a given combination and No if she/he would not purchase a given combination. This allowed for identification of each respondents choice set. Instructions in step three required respondents to rate each combination marked Yes on a scale of 1-100, with one as least likely to be purchased and 100 as most likely to be purchased. This value served as the dependent variable for estimating the parameters in the model. Furthermore, the empirical study shows that there is a difference in price response function with and without choice set information. Therefore, when one calibrates a price response function far a given brand, we can recommend to include choice set information in his/her research.