• Title/Summary/Keyword: pedestrian environment

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Health Improvement; Health Education, Health Promotion and the Settings Approach

  • Green, Jackie
    • Korean Journal of Health Education and Promotion
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    • v.22 no.3
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    • pp.173-186
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    • 2005
  • This paper develops the argument that the 'Healthy Cities Approach' extends beyond the boundaries of officially designated Healthy Cities and suggests that signs of it are evident much more widely in efforts to promote health in the United Kingdom and in national policy. It draws on examples from Leeds, a major city in the north of England. In particular, it suggests that efforts to improve population health need to focus on the wider determinants and that this requires a collaborative response involving a range of different sectors and the participation of the community. Inequality is recognised as a major issue and the need to identify areas of deprivation and direct resources towards these is emphasised. Childhood poverty is referred to and the importance of breaking cycles of deprivation. The role of the school is seen as important in contributing to health generally and the compatibility between Healthy Cities and Health Promoting Schools is noted. Not only can Health Promoting Schools improve the health of young people themselves they can also develop the skills, awareness and motivation to improve the health of the community. Using child pedestrian injury as an example, the paper argues that problems and their cause should not be conceived narrowly. The Healthy Cities movement has taught us that the response, if it is to be effective, should focus on the wider determinants and be adapted to local circumstances. Instead of simply attempting to change behaviour through traditional health education we need to ensure that the environment is healthy in itself and supports healthy behaviour. To achieve this we need to develop awareness, skills and motivation among policy makers, professionals and the community The 'New Health' education is proposed as a term to distinguish the type of health education which addresses these issues from more traditional forms.

Pedestrian Positioning Method using Multi-Level Transmission Signal Strength (다단계 전송 신호 강도 기술을 이용한 보행자 위치 측정 방법)

  • Lee, Myung-Su;Kim, Ju-Won;Lee, Sang-Sun
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.40 no.1
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    • pp.124-131
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    • 2015
  • In this paper, we proposed indoor positioning system using RSS(Received Signal Strength) positioning method and TSS(Transmission Signal Strength). The main point in the paper is to improve reliability of accuracy positioning with the area recognition algorithm and probabilistic algorithm, which can be effectively used indoor. In the test in 1-dimensional or 2-dimensional spaces, also we checked effective positioning system considered environment of propagation that is changed by reflection, refraction and multipath in according to space form. It is necessary to find place where urgent situation happen and quickly to respond the situation for patients or the weak. Therefore, we expect the positioning system proposed can apply to the field of traffic IT.

A Study on Multi-Object Tracking Method using Color Clustering in ISpace (컬러 클러스터링 기법을 이용한 공간지능화의 다중이동물체 추척 기법)

  • Jin, Tae-Seok;Kim, Hyun-Deok
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.11 no.11
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    • pp.2179-2184
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    • 2007
  • The Intelligent Space(ISpace) provides challenging research fields for surveillance, human-computer interfacing, networked camera conferencing, industrial monitoring or service and training applications. ISpace is the space where many intelligent devices, such as computers and sensors, are distributed. According to the cooperation of many intelligent devices, the environment, it is very important that the system knows the location information to offer the useful services. In order to achieve these goals, we present a method for representing, tracking and human following by fusing distributed multiple vision systems in ISpace, with application to pedestrian tracking in a crowd. This paper described appearance based unknown object tracking with the distributed vision system in intelligent space. First, we discuss how object color information is obtained and how the color appearance based model is constructed from this data. Then, we discuss the global color model based on the local color information. The process of learning within global model and the experimental results are also presented.

A Case Study on Urban Regeneration Projects for Declined Industrial Districts in Downtown Area (도심 노후산업지구 도시재생사업 사례연구)

  • Choi, Kang-Rim
    • Journal of the Korea Convergence Society
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    • v.10 no.10
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    • pp.129-142
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    • 2019
  • It is needed to regenerate declined industrial districts in downtown area through to invite new industry and to improve urban environment. The purpose of this paper was to make suggestions on the urban regeneration for the districts. I have taken a literature research and a site analysis with cases of 'the South Lake Union' in Seattle and 'Pearl District' in Portland, USA. The result of the analysis was as follows: (1) The land use was changed to mixed use of business-commerce-recreation. The building use was changed to facilities for work, play and live. (2) Infrastructures were improved for user oriented facilities such as pedestrian friendly street, public parks & open spaces, public transportation system, and life supporting facilities. (3) The place identity was enhanced through the preservation of urban structure-tissues, renovation of existing buildings, and preservation of historical heritages.

A Study on the Causes of Child Loss through Behavioral Analysis of Customers Accompanied with Children in Urban Entertainment Centers (복합상업시설에서의 아동 동반 고객 행태분석을 통한 미아 발생원인 고찰)

  • Choi, Jaepil;Choi, Soyoung;Yoo, Saewon;Han, Gyu Bin
    • Journal of the Architectural Institute of Korea Planning & Design
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    • v.36 no.1
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    • pp.49-60
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    • 2020
  • Although the number of child loss in commercial facilities has been growing recently, the prevention method for child loss are still lacking in the environmental aspect. This research examines the causes of lost child in behavioral aspects in order to develop a guideline to prevent child loss in U.E.C. The observational study on the behaviors of guardians and children was conducted in the U.E.C that is visited by many customers accompanied with children. Then the results of the observational study were marked on the behavioral maps. After analyzing the behavioral maps, the causes of child loss were determined by classifying into behaviors by age and behaviors by functional space. As a result, when guardian is unable to pay attention to child by doing something else such as making a purchase, or an inquiry, child may lose guardian by going towards the interesting factors or playing around. Moreover, if the spaces related to children are located at the node with high pedestrian density and open structure or the environment that is hard for the guardians to watch over their children, it will be easy for guardians to be inattentive to their children, and get separated from each other.

A New Arm Swing Walking Pattern-based Walking Safety System (새로운 팔 스윙 보행 패턴 기반 보행 안전 시스템)

  • Lee, Kyung-Min;Lin, Chi-Ho
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.19 no.6
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    • pp.88-95
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    • 2020
  • In this paper, we propose a new arm swing walking pattern-based walking safety system for safe walking of elderly pedestrians. The proposed system is a walking safety system for elderly pedestrians using haptic-based devices such as smart bands and smart watches, and arm swing-based walking patterns to solve the problem that it is difficult to recognize the fall situation of pedestrians with the existing walking patterns of lower limb movements. Use. The arm swing-based walking pattern recognizes the number of steps and the fall situation of pedestrians through the swing of the arm using the acceleration sensor of the device, and creates a database of the location of the fall situation to warn elderly pedestrians when walking near the expected fall location. It delivers a message to provide pedestrian safety to the elderly. This system is expected to improve the safe walking rights and environment of the elderly.

Study on the Development Direction of a Smart City in Gangwon-do (강원도 스마트시티 발전방향 설정에 관한 연구)

  • Ham, Kwang-Min;Ryu, Jong-Hyun
    • Journal of Environmental Science International
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    • v.30 no.1
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    • pp.11-17
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    • 2021
  • This research was conducted to propose the basic direction of a smart city plan for the satisfaction of residents of Gangwon-do. Initially, the awareness of smart cities among the residents of Gangwon-do was as follows: The response "I have no idea" was 21.7% higher and "I do not know the details, but have heard of it" was 15.1% lower than the awareness among residents across the nation. Based on these results, it was confirmed that awareness was very low despite the government's smartification reinforcement policy. In addition, the residents of Gangwon-do expected that their time would be saved and their living convenience would increase but were worried that their privacy would be invaded and that the conflict between generations would intensify. Thus, it is necessary to develop a plan to enhance the awareness of smart cities, as well as a plan to enhance digital awareness. Second, based on the importance of and satisfaction with the urban problem response system examined among the residents of Gangwon-do, it seems necessary to prioritize improvements in public space control and administrative problem responses involving deteriorated parks/plazas, pedestrian environment, and administrative processing inefficiency and fairness. Additionally, the first prioritization priority of the residents of Gangwon-do was "health/welfare/medical service" (27.7%); the second and third highest priorities were "transportation service" (26.3%) and "environmental service" (19.0%), respectively. In particular, as "transportation service" was highly preferred in the Chuncheon and Wonju regions and "health/welfare/medical service" was highly preferred in the Gangneung, Sokcho, and other southern regions, it was confirmed that the level of urbanization is deeply associated with smart services.

Analysis of the effect of street green structure on PM2.5 in the walk space - Using microclimate simulation - (가로녹지 유형이 보행공간의 초미세먼지에 미치는 영향 분석 - 미기후 시뮬레이션을 활용하여 -)

  • Kim, Shin-Woo;Lee, Dong-Kun;Bae, Chae-Young
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.24 no.4
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    • pp.61-75
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    • 2021
  • Roadside greenery in the city is not only a means of reducing fine dust, but also an indispensable element of the city in various aspects such as improvement of urban thermal environment, noise reduction, ecosystem connectivity, and aesthetics. However, in studies dealing with the effect of reducing fine dust through trees in existing urban spaces, microscopic aspects such as the adsorption effect of plants were dealt with, structural changes such as the width of urban buildings and streets, and the presence or absence of trees, Impact studies that reflect the actual form of In this study, the effect of greenery composition applicable to urban space on PM2.5 was simulated through the microclimate epidemiologic model ENVI-met, and field measurements were performed in parallel to verify the results. In addition, by analyzing the results of fine dust background concentration, wind speed, and leaf area index, the sensitivity to major influencing variables was tested. As a result of the study, it was confirmed that the fine dust reduction effect was the highest in the case with a high planting amount, and the reduction effect was the greatest at a low background concentration. Based on this, the cost of planting street green areas and the effect of reducing PM2.5 were compared. The results of this study can contribute as a basis for considering the effect of pedestrian space on air quality when planning and designing street green spaces.

2-Stage Detection and Classification Network for Kiosk User Analysis (디스플레이형 자판기 사용자 분석을 위한 이중 단계 검출 및 분류 망)

  • Seo, Ji-Won;Kim, Mi-Kyung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.5
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    • pp.668-674
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    • 2022
  • Machine learning techniques using visual data have high usability in fields of industry and service such as scene recognition, fault detection, security and user analysis. Among these, user analysis through the videos from CCTV is one of the practical way of using vision data. Also, many studies about lightweight artificial neural network have been published to increase high usability for mobile and embedded environment so far. In this study, we propose the network combining the object detection and classification for mobile graphic processing unit. This network detects pedestrian and face, classifies age and gender from detected face. Proposed network is constructed based on MobileNet, YOLOv2 and skip connection. Both detection and classification models are trained individually and combined as 2-stage structure. Also, attention mechanism is used to improve detection and classification ability. Nvidia Jetson Nano is used to run and evaluate the proposed system.

Study on Map Building Performance Using OSM in Virtual Environment for Application to Self-Driving Vehicle (가상환경에서 OSM을 활용한 자율주행 실증 맵 성능 연구)

  • MinHyeok Baek;Jinu Pahk;JungSeok Shim;SeongJeong Park;YongSeob Lim;GyeungHo Choi
    • Journal of Auto-vehicle Safety Association
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    • v.15 no.2
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    • pp.42-48
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    • 2023
  • In recent years, automated vehicles have garnered attention in the multidisciplinary research field, promising increased safety on the road and new opportunities for passengers. High-Definition (HD) maps have been in development for many years as they offer roadmaps with inch-perfect accuracy and high environmental fidelity, containing precise information about pedestrian crossings, traffic lights/signs, barriers, and more. Demonstrating autonomous driving requires verification of driving on actual roads, but this can be challenging, time-consuming, and costly. To overcome these obstacles, creating HD maps of real roads in a simulation and conducting virtual driving has become an alternative solution. However, existing HD maps using high-precision data are expensive and time-consuming to build, which limits their verification in various environments and on different roads. Thus, it is challenging to demonstrate autonomous driving on anything other than extremely limited roads and environments. In this paper, we propose a new and simple method for implementing HD maps that are more accessible for autonomous driving demonstrations. Our HD map combines the CARLA simulator and OpenStreetMap (OSM) data, which are both open-source, allowing for the creation of HD maps containing high-accuracy road information globally with minimal dependence. Our results show that our easily accessible HD map has an accuracy of 98.28% for longitudinal length on straight roads and 98.42% on curved roads. Moreover, the accuracy for the lateral direction for the road width represented 100% compared to the manual method reflected with the exact road data. The proposed method can contribute to the advancement of autonomous driving and enable its demonstration in diverse environments and on various roads.