본 연구는 도시용도지역제 시스템 개선을 통해 민간주도형 공원확보 방안을 마련하고, 동시에 도시공원 주변부를 활성화시키기 위한 새로운 전략으로서 랜드스케이프 어바니즘의 이론을 토대로 도시용도지역제에 공원복합용도지구라는 새로운 용도지구 도입을 모색하기 위한 목적으로 수행되었다. 본 연구는 도시계획가, 조경가 등 관련 전문가들을 대상으로 공원복합용도지구의 모형, 공원과 용도복합의 유형, 공원 대 도시용도의 공간크기 비율 등에 대한 선호도를 분석함으로써 공원복합용도 도입의 타당성을 일차적으로 검증하고 있다. 연구의 목적을 달성하기 위해 서울시청 공무원, 서울시정개발연구원의 연구원, 엔지니어링 회사의 도시계획, 조경관련 부서에 근무하는 도시계획가, 조경가 등 전문가를 대상으로 설문조사를 실시하였고, 연구의 결과 다음과 같은 결론을 얻을 수 있었다. 첫째, 도시계획가, 조경가 등 전문분야 간, 공무원과 연구원, 엔지니어들 간 상호이견 없이 이들 전문가들의 79.3%가 공원복합용도지구를 선호하는 것으로 분석되었다. 이것은 공원복합용도지구 모형의 도입 가능성을 제시한 결과라고 사료된다. 둘째, 공원복합용도 지구 모형에 대한 주요 선호 이유는 도시공원 확보 및 접근성 증대, 자연재해 예방 등 환경적 효과 증진을 가장 중요하게 생각하는 이유로 나타났다. 셋째, 공원복합용도지구 모형에 대한 비선호 이유는 현행 도시계획 및 도시개발 관련 제도상 불가, 공원복합용도지구에 대한 이해 부족 등이 주된 이유로 나타남으로써 관련 제도개선의 필요성을 제기하였다. 넷째, 도시공원 및 녹지 주변부에 도시적 용도가 공원과 복합화 될 경우, 모든 경우의 용도복합 유형에 대해 보통 이상으로 선호하는 것으로 나타났다. 그 중에서 가장 선호하는 공원복합유형은 공원과 문화용도의 복합인 것으로 나타났으며 특히, 문화용도는 공원과 복합화 되는 주거, 업무, 상업, 교육(연구)등 다른 어떤 유형의 용도와 복합화 되어도 선호도가 높은 경향을 보였다. 다섯째, 공원과 복합화 되는 용도복합의 수가 4개 이상이 될 경우에는 복합화에 대한 선호도가 상대적으로 낮아지는 것으로 나타나고 있어서 공원복합용도의 경우에는 공원을 포함하여 4개 이하로 복합화 되는 것이 바람직한 것으로 사료되었다. 여섯째, 공원복합용도지구 모형에 있어서 공원과 다른 도시적 용도와의 공간크기 비율은 60% 대 40%의 비율에 대해 평균 70%에서 90% 수준으로 선호하는 것으로 나타남으로써, 이 비율을 기준으로 공원 대 도시용도와의 공간크기 비율로 책정하는 것이 바람직한 것으로 사료되었다. 이상의 결과에서 공원복합용도지구 모형에 대한 타당성 제시와 함께 향후, 공원복합용도지구제를 도입할 경우에는 이 지구의 지정 범위와 방법, 지구단위계획 관련기준, 각종 도시개발 관련 지표등과 관련하여, 국토의 계획 및 이용에 관한 법률과 건축법 등 관련 제도개선에 대한 후속 연구가 있어야 할 것으로 사료되었다.
제4차 산업혁명을 이끄는 주요 원동력 중 하나인 인공지능 기술은 이미지와 음성 인식 등 여러 분야에서 사람과 유사하거나 더 뛰어난 능력을 보이며, 사회 전반에 미치게 될 다양한 영향력으로 인하여 높은 주목을 받고 있다. 특히, 인공지능 기술은 의료, 금융, 제조, 서비스, 교육 등 광범위한 분야에서 활용이 가능하기 때문에, 현재의 기술 동향을 파악하고 발전 방향을 분석하기 위한 노력들 또한 활발히 이루어지고 있다. 한편, 이러한 인공지능 기술의 급속한 발전 배경에는 학습, 추론, 인식 등의 복잡한 인공지능 알고리즘을 개발할 수 있는 주요 플랫폼들이 오픈 소스로 공개되면서, 이를 활용한 기술과 서비스들의 개발이 비약적으로 증가하고 있는 것이 주요 요인 중 하나로 확인된다. 또한, 주요 글로벌 기업들이 개발한 자연어 인식, 음성 인식, 이미지 인식 기능 등의 인공지능 소프트웨어들이 오픈 소스 소프트웨어(OSS: Open Sources Software)로 무료로 공개되면서 기술확산에 크게 기여하고 있다. 이에 따라, 본 연구에서는 온라인상에서 다수의 협업을 통하여 개발이 이루어지고 있는 인공지능과 관련된 주요 오픈 소스 소프트웨어 프로젝트들을 분석하여, 인공지능 기술 개발 현황에 대한 보다 실질적인 동향을 파악하고자 한다. 이를 위하여 깃허브(Github) 상에서 2000년부터 2018년 7월까지 생성된 인공지능과 관련된 주요 프로젝트들의 목록을 검색 및 수집하였으며, 수집 된 프로젝트들의 특징과 기술 분야를 의미하는 토픽 정보들을 대상으로 텍스트 마이닝 기법을 적용하여 주요 기술들의 개발 동향을 연도별로 상세하게 확인하였다. 분석 결과, 인공지능과 관련된 오픈 소스 소프트웨어들은 2016년을 기준으로 급격하게 증가하는 추세이며, 토픽들의 관계 분석을 통하여 주요 기술 동향이 '알고리즘', '프로그래밍 언어', '응용분야', '개발 도구'의 범주로 구분하는 것이 가능함을 확인하였다. 이러한 분석 결과를 바탕으로, 향후 다양한 분야에서의 활용을 위해 개발되고 있는 인공지능 관련 기술들을 보다 상세하게 구분하여 확인하는 것이 가능할 것이며, 효과적인 발전 방향 모색과 변화 추이 분석에 활용이 가능할 것이다.
본 연구에서는 항공권 예약 발권 웹사이트의 서비스 품질을 측정 뿐만 아니라 서비스 회복도 측정하고자 하였다. 또한 서비스 품질과 서비스 회복이 고객만족 및 충성의도에 미치는 영향관계를 실증하고자 하였다. 온라인 서비스 품질과 온라인 서비스 회복의 측정을 위해 Parasuraman, Zeithaml, & Malhotra(2005)가 개발한 E-S-QUAL과 E-RecS-QUAL을 사용했으며, 했다. E-S-QUAL은 온라인 서비스 품질을 측정하는 도구로써, 효율성, 시스템 이용가능성, 이행성, 프라이버시의 4개 차원 22개 항목으로 구성된다. E-RecS-QUAL은 온라인 서비스 회복을 측정하는 도구로써, 반응, 보상, 접촉의 3개 차원 11개 항목으로 구성된다. 실증분석을 위한 설문조사는 항공사나 여행사의 웹사이트를 통해 국내 외 항공권을 구입해 본 경험이 있는 소비자를 대상으로 실시하였는데, 총 400부가 회수되었고, 이 중 342부를 최종분석에 사용하였다. 실증분석을 위해 AMOS 7.0과 SPSS 15.0을 사용하였다. 먼저, SPSS 15.0을 사용하여, 요인점수를 이용한 회귀분석으로 가설검증을 한 결과, <가설 I-1, 2, 3, 4, II-1, 2, 3, III-1, IV-1>이 전부 채택되었다. 온라인 서비스 품질과 온라인 서비스 회복의 각 차원은 모두 전반적인 서비스 품질에 유의한 영향을 보였고, 전반적인 서비스 품질은 고객만족에 유의한 영향을 미쳤다. 마지막으로 고객만족 역시 충성의도에 유의한 영향을 미치는 것으로 확인되었다. 한편 AMOS 7.0을 사용하여 모형 분석을 하였는데, 모형의 적합도는 가설검증을 하기에 합당한 수치가 나왔다. 이를 토대로 가설검증을 한 결과, <가설 I-1, 3, II-1, 3, III-1, IV-1>은 채택되었고, <가설 I-2, 4, II-2>는 기각되었다. 이 결과는 Parasuraman et al.(2005)이 주장한 것처럼 E-S-QUAL을 나타내는 데는 요인점수를 이용한 회귀분석이 더 적합하다는 것을 보여주는 것이라고 판단된다. 이를 토대로 본 연구의 시사점을 정리하였다.
Today most developed countries provide modern medical care for most of the population. The rural area is the more neglected area in the medical and health field. In public health, the philosophy is that medical care for in maintenance of health is a basic right of man; it should not be discriminated against racial, environmental or financial situations. The deficiency of the medical care system, cultural bias, economic development, and ignorance of the residents about health care brought about the shortage of medical personnel and facilities on the rural areas. Moreover, medical students and physicians have been taught less about rural health care than about urban health care. Medical care, therefore, is insufficient in terms of health care personnel/and facilities in rural areas. Under such a situation, there is growing concern about the health problems among the rural population. The findings presented in this report are useful measures of the major health problems and even more important, as a guide to planning for improved medical care systems. It is hoped that findings from this study will be useful to those responsible for improving the delivery of health service for the rural population. Objectives: -to determine the health status of the residents in the rural areas. -to assess the rural population's needs in terms of health and medical care. -to make recommendations concerning improvement in the delivery of health and medical care for the rural population. Procedures: For the sampling design, the ideal would be to sample according to the proportion of the composition age-groups. As the health problems would be different by group, the sample was divided into 10 different age-groups. If the sample were allocated by proportion of composition of each age group, some age groups would be too small to estimate the health problem. The sample size of each age-group population was 100 people/age-groups. Personal interviews were conducted by specially trained medical students. The interviews dealt at length with current health status, medical care problems, utilization of medical services, medical cost paid for medical care and attitudes toward health. In addition, more information was gained from the public health field, including environmental sanitation, maternal and child health, family planning, tuberculosis control, and dental health. The sample Sample size was one fourth of total population: 1,438 The aged 10-14 years showed the largest number of 254 and the aged under one year was the smallest number of 81. Participation in examination Examination sessions usually were held in the morning every Tuesday, Wenesday, and Thursday for 3 hours at each session at the Namchun Health station. In general, the rate of participation in medical examination was low especially in ages between 10-19 years old. The highest rate of participation among are groups was the under one year age-group by 100 percent. The lowest use rate as low as 3% of those in the age-groups 10-19 years who are attending junior and senior high school in Taegu city so the time was not convenient for them to recieve examinations. Among the over 20 years old group, the rate of participation of female was higher than that of males. The results are as follows: A. Publie health problems Population: The number of pre-school age group who required child health was 724, among them infants numbered 96. Number of eligible women aged 15-44 years was 1,279, and women with husband who need maternal health numbered 700. The age-group of 65 years or older was 201 needed more health care and 65 of them had disabilities. (Table 2). Environmental sanitation: Seventy-nine percent of the residents relied upon well water as a primary source of dringking water. Ninety-three percent of the drinking water supply was rated as unfited quality for drinking. More than 90% of latrines were unhygienic, in structure design and sanitation (Table 15). Maternal and child health: Maternal health Average number of pregnancies of eligible women was 4 times. There was almost no pre- and post-natal care. Pregnancy wastage Still births was 33 per 1,000 live births. Spontaneous abortion was 156 per 1,000 live births. Induced abortion was 137 per 1,000 live births. Delivery condition More than 90 percent of deliveries were conducted at home. Attendants at last delivery were laymen by 76% and delivery without attendants was 14%. The rate of non-sterilized scissors as an instrument used to cut the umbilical cord was as high as 54% and of sickles was 14%. The rate of difficult delivery counted for 3%. Maternal death rate estimates about 35 per 10,000 live births. Child health Consultation rate for child health was almost non existant. In general, vaccination rate of children was low; vaccination rates for children aged 0-5 years with BCG and small pox were 34 and 28 percent respectively. The rate of vaccination with DPT and Polio were 23 and 25% respectively but the rate of the complete three injections were as low as 5 and 3% respectively. The number of dead children was 280 per 1,000 living children. Infants death rate was 45 per 1,000 live births (Table 16), Family planning: Approval rate of married women for family planning was as high as 86%. The rate of experiences of contraception in the past was 51%. The current rate of contraception was 37%. Willingness to use contraception in the future was as high as 86% (Table 17). Tuberculosis control: Number of registration patients at the health center currently was 25. The number indicates one eighth of estimate number of tuberculosis in the area. Number of discharged cases in the past accounted for 79 which showed 50% of active cases when discharged time. Rate of complete treatment among reasons of discharge in the past as low as 28%. There needs to be a follow up observation of the discharged cases (Table 18). Dental problems: More than 50% of the total population have at least one or more dental problems. (Table 19) B. Medical care problems Incidence rate: 1. In one month Incidence rate of medical care problems during one month was 19.6 percent. Among these health problems which required rest at home were 11.8 percent. The estimated number of patients in the total population is 1,206. The health problems reported most frequently in interviews during one month are: GI trouble, respiratory disease, neuralgia, skin disease, and communicable disease-in that order, The rate of health problems by age groups was highest in the 1-4 age group and in the 60 years or over age group, the lowest rate was the 10-14 year age group. In general, 0-29 year age group except the 1-4 year age group was low incidence rate. After 30 years old the rate of health problems increases gradually with aging. Eighty-three percent of health problems that occured during one month were solved by primary medical care procedures. Seventeen percent of health problems needed secondary care. Days rested at home because of illness during one month were 0.7 days per interviewee and 8days per patient and it accounts for 2,161 days for the total productive population in the area. (Table 20) 2. In a year The incidence rate of medical care problems during a year was 74.8%, among them health problems which required rest at home was 37 percent. Estimated number of patients in the total population during a year was 4,600. The health problems that occured most frequently among the interviewees during a year were: Cold (30%), GI trouble (18), respiratory disease (11), anemia (10), diarrhea (10), neuralgia (10), parasite disease (9), ENT (7), skin (7), headache (7), trauma (4), communicable disease (3), and circulatory disease (3) -in that order. The rate of health problems by age groups was highest in the infants group, thereafter the rate decreased gradually until the age 15-19 year age group which showed the lowest, and then the rate increased gradually with aging. Eighty-seven percent of health problems during a year were solved by primary medical care. Thirteen percent of them needed secondary medical care procedures. Days rested at home because of illness during a year were 16 days per interviewee and 44 days per patient and it accounted for 57,335 days lost among productive age group in the area (Table 21). Among those given medical examination, the conditions observed most frequently were respiratory disease, GI trouble, parasite disease, neuralgia, skin disease, trauma, tuberculosis, anemia, chronic obstructive lung disease, eye disorders-in that order (Table 22). The main health problems required secondary medical care are as fellows: (previous page). Utilization of medical care (treatment) The rate of treatment by various medical facilities for all health problems during one month was 73 percent. The rate of receiving of medical care of those who have health problems which required rest at home was 52% while the rate of those who have health problems which did not required rest was 61 percent (Table 23). The rate of receiving of medical care for all health problems during a year was 67 percent. The rate of receiving of medical care of those who have health problems which required rest at home was 82 percent while the rate of those who have health problems which did not required rest was as low as 53 percent (Table 24). Types of medical facilitied used were as follows: Hospital and clinics: 32-35% Herb clinics: 9-10% Drugstore: 53-58% Hospitalization Rate of hospitalization was 1.7% and the estimate number of hospitalizations among the total population during a year will be 107 persons (Table 25). Medical cost: Average medical cost per person during one month and a year were 171 and 2,800 won respectively. Average medical cost per patient during one month and a year were 1,109 and 3,740 won respectively. Average cost per household during a year was 15,800 won (Table 26, 27). Solution measures for health and medical care problems in rural area: A. Health problems which could be solved by paramedical workers such as nurses, midwives and aid nurses etc. are as follows: 1. Improvement of environmental sanitation 2. MCH except medical care problems 3. Family planning except surgical intervention 4. Tuberculosis control except diagnosis and prescription 5. Dental care except operational intervention 6. Health education for residents for improvement of utilization of medical facilities and early diagnosis etc. B. Medical care problems 1. Eighty-five percent of health problems could be solved by primary care procedures by general practitioners. 2. Fifteen percent of health problems need secondary medical procedures by a specialist. C. Medical cost Concidering the economic situation in rural area the amount of 2,062 won per residents during a year will be burdensome, so financial assistance is needed gorvernment to solve health and medical care problems for rural people.
최근 4차 산업혁명, 코로나로 인한 뉴노멀 시대의 도래 등을 계기로 인공지능, 빅데이터 연구와 같은 언택트 관련 기술의 중요성이 더욱 급상하고 있다. 각 종 연구 분야에서는 이러한 연구 트렌드를 따라가기 위한 융합적 연구가 본격적으로 시행되고 있으나 원자력 분야의 경우 자연어 처리, 텍스트마이닝 분석 등 인공지능 및 빅데이터 관련 기술을 적용한 연구가 많이 수행되지 않았다. 이에 원자력 연구 분야에 데이터 사이언스 분석기술의 적용 가능성을 확인해보고자 본 연구를 수행하였다. 원자로 연료로 사용된 뒤 배출되는 사용후핵연료 인식 동향 파악에 대한 연구는 원자력 산업 정책에 대한 방향을 결정하고 산업정책 변화를 사전에 대응할 수 있다는 측면에서 매우 중요하다. 사용후핵연료 처리기술은 크게 습식 재처리 방식과 건식 재처리 방식으로 나뉘는데, 이 중 환경 친화적이고 핵비확산성 및 경제성이 높은 건식재처리 기술인 '파이로프로세싱'과 그 연계 원자로 '소듐냉각고속로'의 연구개발에 대한 재평가가 현재 지속적으로 검토되고 있다. 따라서 위와 같은 이유로, 본 연구에서는 사용후핵연료 처리기술인 파이로프로세싱에 대한 언론 동향 분석을 진행하였다. 사용후핵연료 처리기술인 '파이로프로세싱' 키워드를 포함하는 네이버 웹 뉴스 기사 전문의 텍스트데이터를 수집하여 기간에 따라 인식변화를 분석하였다. 2016년 발생한 경주 지진, 2017년 새 정부의 에너지 전환정책 시행된 2010년대 중반 시기를 기준으로 전, 후의 동향 분석이 시행되었고, 빈도분석을 바탕으로 한 워드 클라우드 도출, TF-IDF(Term Frequency - Inverse Document Frequency) 도출, 연결정도 중심성 산출 등의 분석방법을 통해 텍스트데이터에 대한 세부적이고 다층적인 분석을 수행하였다. 연구 결과, 2010년대 이전에는 사용후핵연료 처리기술에 대한 사회 언론의 인식이 외교적이고 긍정적이었음을 알 수 있었다. 그러나 시간이 흐름에 따라 '안전(safety)', '재검토(reexamination)', '대책(countermeasure)', '처분(disposal)', '해체(disassemble)' 등의 키워드 출현빈도가 급증하며 사용후핵연료 처리기술 연구에 대한 지속 여부가 사회적으로 진지하게 고려되고 있음을 알 수 있었다. 정치 외교적 기술로 인식되던 사용후핵연료 처리기술이 국내 정책의 변화로 연구 지속 가능성이 모호해짐에 따라 언론 인식도 점차 변화했다는 것을 확인하였다. 이러한 연구 결과를 통해 원자력 분야에서의 사회과학 연구의 지속은 필수불가결함을 알 수 있었고 이에 대한 중요성이 부각되었다. 또한, 현 정부의 원전 감축과 같은 에너지 정책의 영향으로, 사용후핵연료 처리기술 연구개발에 대한 재평가가 시행되는 이 시점에서 해당 분야의 주요 키워드 분석은 향후 연구 방향 설정에 기여할 수 있을 것이라는 측면에서 실무적 의의를 갖는다. 더 나아가 원자력 공학 분야에 사회과학 분야를 폭넓게 적용할 필요가 있으며, 국가 정책적 변화를 고려해야 원자력 산업이 지속 가능할 것으로 사료된다.
우리나라는 근래(近來) 고도경제성장(高度經濟成長)으로 인(因)하여 목재수요(木材需要)가 급증(急增)하고 있으나 국내생산재(國內生産材)가 공급율(供給率)은 수요량(需要量)의 20% 정도(程度)에 지나지 않아 많은 외재(外在)를 도입(導入)하고 있으므로 장래(將來)의 목재(木材) 수요공급(需要供給)의 균형(均衡)을 이룩하기 위하여 강력(强力)한 산림자원(山林資源) 조성사업(造成事業)의 추진(推進)이 요망(要望)된다. 산림자원(山林資源) 조성사업(造成事業)을 추진(推進)하는데 있어서 가장 중요(重要)한 것은 조림의욕(造林意慾)을 높이고 조림사업(造林事業)에 필요(必要)한 산업자본(産業資本)을 산림(山林)에 유치(誘致)하도록 하는 일인데, 이러한 역할(役割)을 할 수 있는 경제적시설(經濟的施設)의 하나가 산림보험제도(山林保險制度)의 실시(實施)인 것이다. 산림보험(山林保險)을 실시(實施)하면 산림재해(山林災害)가 보상(補償)되므로 자본가(資本家)는 안심(安心)하고 조림투자(造林投資)를 할 수 있을 뿐만 아니라 산림(山林)을 담보(擔保)로 한 금융(金融)의 길도 열리어 투자(投資)한 산림(山林)에 환금성(換金性)이 주어지므로 산업자본가(産業資本家)가 산림투자(山林投資)를 회피(回避)하지 않게 되어 산림자원(山林資源) 조성사업(造成事業)이 촉진(促進)될 수 있다. 이러한 관점(觀點)에서 외국(外國)에서는 19세기말(世紀末)부터 산림보험제도(山林保險制度)가 실시(實施)되기 시작(始作)하여 주요(主要) 임업선진국(林業先進國)에서는 모두 산림보험(山林保險)을 실시(實施)하고 있는 것이다. 산림보험(山林保險)을 실시(實施)하는데 있어서 가장 중요(重要)한 것은 장기간(長期間)에 걸친 산림재해(山林災害)의 통계자료(統計資料)를 정확(正確)히 조사(調査)하는 일과 그 나라의 여건(與件)에 맞는 산림보험제도(山林保險制度)를 창설(創設)하는 일이다. 과거(過去) 10년간(年間)(1961~1970)의 년평균(年平均) 산림재해상황(山林災害狀況)을 조사(調査)한 결과(結果)는 산림화재(山林火災)가 9,000여정보(餘町步), 곤충피해(昆蟲被害)가 570,000정보(町步), 병균피해(病菌被害)가 694정보(町步)로 나타났다. 특(特)히 그중 외국(外國)의 산림보험(山林保險)에서 재해보상(災害補償) 대상(對象)의 으뜸이 되고 있는 산림화재(山林火災) 피해상황(被害狀況)을 과거(過去) 18년간(年間)(1953~1970)에 걸쳐서 조사(調査)한 결과(結果)에 의하면 산화면적(山火面積) 위험율(危險率)이
The objective of this research is to test the feasibility of developing a statewide truck traffic forecasting methodology for Wisconsin by using Origin-Destination surveys, traffic counts, classification counts, and other data that are routinely collected by the Wisconsin Department of Transportation (WisDOT). Development of a feasible model will permit estimation of future truck traffic for every major link in the network. This will provide the basis for improved estimation of future pavement deterioration. Pavement damage rises exponentially as axle weight increases, and trucks are responsible for most of the traffic-induced damage to pavement. Consequently, forecasts of truck traffic are critical to pavement management systems. The pavement Management Decision Supporting System (PMDSS) prepared by WisDOT in May 1990 combines pavement inventory and performance data with a knowledge base consisting of rules for evaluation, problem identification and rehabilitation recommendation. Without a r.easonable truck traffic forecasting methodology, PMDSS is not able to project pavement performance trends in order to make assessment and recommendations in the future years. However, none of WisDOT's existing forecasting methodologies has been designed specifically for predicting truck movements on a statewide highway network. For this research, the Origin-Destination survey data avaiiable from WisDOT, including two stateline areas, one county, and five cities, are analyzed and the zone-to'||'&'||'not;zone truck trip tables are developed. The resulting Origin-Destination Trip Length Frequency (00 TLF) distributions by trip type are applied to the Gravity Model (GM) for comparison with comparable TLFs from the GM. The gravity model is calibrated to obtain friction factor curves for the three trip types, Internal-Internal (I-I), Internal-External (I-E), and External-External (E-E). ~oth "macro-scale" calibration and "micro-scale" calibration are performed. The comparison of the statewide GM TLF with the 00 TLF for the macro-scale calibration does not provide suitable results because the available 00 survey data do not represent an unbiased sample of statewide truck trips. For the "micro-scale" calibration, "partial" GM trip tables that correspond to the 00 survey trip tables are extracted from the full statewide GM trip table. These "partial" GM trip tables are then merged and a partial GM TLF is created. The GM friction factor curves are adjusted until the partial GM TLF matches the 00 TLF. Three friction factor curves, one for each trip type, resulting from the micro-scale calibration produce a reasonable GM truck trip model. A key methodological issue for GM. calibration involves the use of multiple friction factor curves versus a single friction factor curve for each trip type in order to estimate truck trips with reasonable accuracy. A single friction factor curve for each of the three trip types was found to reproduce the 00 TLFs from the calibration data base. Given the very limited trip generation data available for this research, additional refinement of the gravity model using multiple mction factor curves for each trip type was not warranted. In the traditional urban transportation planning studies, the zonal trip productions and attractions and region-wide OD TLFs are available. However, for this research, the information available for the development .of the GM model is limited to Ground Counts (GC) and a limited set ofOD TLFs. The GM is calibrated using the limited OD data, but the OD data are not adequate to obtain good estimates of truck trip productions and attractions .. Consequently, zonal productions and attractions are estimated using zonal population as a first approximation. Then, Selected Link based (SELINK) analyses are used to adjust the productions and attractions and possibly recalibrate the GM. The SELINK adjustment process involves identifying the origins and destinations of all truck trips that are assigned to a specified "selected link" as the result of a standard traffic assignment. A link adjustment factor is computed as the ratio of the actual volume for the link (ground count) to the total assigned volume. This link adjustment factor is then applied to all of the origin and destination zones of the trips using that "selected link". Selected link based analyses are conducted by using both 16 selected links and 32 selected links. The result of SELINK analysis by u~ing 32 selected links provides the least %RMSE in the screenline volume analysis. In addition, the stability of the GM truck estimating model is preserved by using 32 selected links with three SELINK adjustments, that is, the GM remains calibrated despite substantial changes in the input productions and attractions. The coverage of zones provided by 32 selected links is satisfactory. Increasing the number of repetitions beyond four is not reasonable because the stability of GM model in reproducing the OD TLF reaches its limits. The total volume of truck traffic captured by 32 selected links is 107% of total trip productions. But more importantly, ~ELINK adjustment factors for all of the zones can be computed. Evaluation of the travel demand model resulting from the SELINK adjustments is conducted by using screenline volume analysis, functional class and route specific volume analysis, area specific volume analysis, production and attraction analysis, and Vehicle Miles of Travel (VMT) analysis. Screenline volume analysis by using four screenlines with 28 check points are used for evaluation of the adequacy of the overall model. The total trucks crossing the screenlines are compared to the ground count totals. L V/GC ratios of 0.958 by using 32 selected links and 1.001 by using 16 selected links are obtained. The %RM:SE for the four screenlines is inversely proportional to the average ground count totals by screenline .. The magnitude of %RM:SE for the four screenlines resulting from the fourth and last GM run by using 32 and 16 selected links is 22% and 31 % respectively. These results are similar to the overall %RMSE achieved for the 32 and 16 selected links themselves of 19% and 33% respectively. This implies that the SELINICanalysis results are reasonable for all sections of the state.Functional class and route specific volume analysis is possible by using the available 154 classification count check points. The truck traffic crossing the Interstate highways (ISH) with 37 check points, the US highways (USH) with 50 check points, and the State highways (STH) with 67 check points is compared to the actual ground count totals. The magnitude of the overall link volume to ground count ratio by route does not provide any specific pattern of over or underestimate. However, the %R11SE for the ISH shows the least value while that for the STH shows the largest value. This pattern is consistent with the screenline analysis and the overall relationship between %RMSE and ground count volume groups. Area specific volume analysis provides another broad statewide measure of the performance of the overall model. The truck traffic in the North area with 26 check points, the West area with 36 check points, the East area with 29 check points, and the South area with 64 check points are compared to the actual ground count totals. The four areas show similar results. No specific patterns in the L V/GC ratio by area are found. In addition, the %RMSE is computed for each of the four areas. The %RMSEs for the North, West, East, and South areas are 92%, 49%, 27%, and 35% respectively, whereas, the average ground counts are 481, 1383, 1532, and 3154 respectively. As for the screenline and volume range analyses, the %RMSE is inversely related to average link volume. 'The SELINK adjustments of productions and attractions resulted in a very substantial reduction in the total in-state zonal productions and attractions. The initial in-state zonal trip generation model can now be revised with a new trip production's trip rate (total adjusted productions/total population) and a new trip attraction's trip rate. Revised zonal production and attraction adjustment factors can then be developed that only reflect the impact of the SELINK adjustments that cause mcreases or , decreases from the revised zonal estimate of productions and attractions. Analysis of the revised production adjustment factors is conducted by plotting the factors on the state map. The east area of the state including the counties of Brown, Outagamie, Shawano, Wmnebago, Fond du Lac, Marathon shows comparatively large values of the revised adjustment factors. Overall, both small and large values of the revised adjustment factors are scattered around Wisconsin. This suggests that more independent variables beyond just 226; population are needed for the development of the heavy truck trip generation model. More independent variables including zonal employment data (office employees and manufacturing employees) by industry type, zonal private trucks 226; owned and zonal income data which are not available currently should be considered. A plot of frequency distribution of the in-state zones as a function of the revised production and attraction adjustment factors shows the overall " adjustment resulting from the SELINK analysis process. Overall, the revised SELINK adjustments show that the productions for many zones are reduced by, a factor of 0.5 to 0.8 while the productions for ~ relatively few zones are increased by factors from 1.1 to 4 with most of the factors in the 3.0 range. No obvious explanation for the frequency distribution could be found. The revised SELINK adjustments overall appear to be reasonable. The heavy truck VMT analysis is conducted by comparing the 1990 heavy truck VMT that is forecasted by the GM truck forecasting model, 2.975 billions, with the WisDOT computed data. This gives an estimate that is 18.3% less than the WisDOT computation of 3.642 billions of VMT. The WisDOT estimates are based on the sampling the link volumes for USH, 8TH, and CTH. This implies potential error in sampling the average link volume. The WisDOT estimate of heavy truck VMT cannot be tabulated by the three trip types, I-I, I-E ('||'&'||'pound;-I), and E-E. In contrast, the GM forecasting model shows that the proportion ofE-E VMT out of total VMT is 21.24%. In addition, tabulation of heavy truck VMT by route functional class shows that the proportion of truck traffic traversing the freeways and expressways is 76.5%. Only 14.1% of total freeway truck traffic is I-I trips, while 80% of total collector truck traffic is I-I trips. This implies that freeways are traversed mainly by I-E and E-E truck traffic while collectors are used mainly by I-I truck traffic. Other tabulations such as average heavy truck speed by trip type, average travel distance by trip type and the VMT distribution by trip type, route functional class and travel speed are useful information for highway planners to understand the characteristics of statewide heavy truck trip patternS. Heavy truck volumes for the target year 2010 are forecasted by using the GM truck forecasting model. Four scenarios are used. Fo~ better forecasting, ground count- based segment adjustment factors are developed and applied. ISH 90 '||'&'||' 94 and USH 41 are used as example routes. The forecasting results by using the ground count-based segment adjustment factors are satisfactory for long range planning purposes, but additional ground counts would be useful for USH 41. Sensitivity analysis provides estimates of the impacts of the alternative growth rates including information about changes in the trip types using key routes. The network'||'&'||'not;based GMcan easily model scenarios with different rates of growth in rural versus . . urban areas, small versus large cities, and in-state zones versus external stations. cities, and in-state zones versus external stations.