• Journal of the Architectural Institute of Korea Planning & Design
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• v.35 no.1
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• pp.19-28
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• 2019

The purpose of this study is to evaluate the walking behavior analysis methodology used in the previous studies, paying attention to the demand for empirical data collecting for urban and neighborhood planning. The preceding researches are divided into (1)Recording, (2) Surveys, (3)Statistical data, (4)Global positioning system (GPS) devices, and (5)Mobile Big Data analysis. Next, we analyze the precedent research and identify the changes of the walkability research. (1)being required empirical data on the actual walking and moving patterns of people, (2)beginning to be measured micro-walking behaviors such as actual route, walking facilities, detour, walking area. In addition, according to the trend of research, it is analyzed that the use of GPS device and the mobile big data are newly emerged. Finally, we analyze pedestrian data based on mobile big data in terms of 'application' and distinguishing it from existing survey methodology. We present the possibility of mobile big data. (1)Improvement of human, temporal and spatial constraints of data collection, (2)Improvement of inaccuracy of collected data, (3)Improvement of subjective intervention in data collection and preprocessing, (4)Expandability of walking environment research.

• The Korean Journal of Zoology
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• v.26 no.2
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• pp.95-106
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• 1983

Selections for rapid and slow walking behavior were carried out with the populations, drived from Oregon-R and lethal free strain of Drosophila melanogaster. The behavior was measured by means of connected test-tube apparatus. The populations responded effectively to the artificial selection, and it reached the selection plateau after 7 generations. The realized heritability for the first 10 generations was estimated to be about $9\\sim14%$ for the rapid walking behavior, and those for slow walking behavior was about $11\\sim16%$. The results of hybridization analysis between selected populations at generations 8 and 10 indicated that some polygenes showing a slow walking behavior were partially dominant over polygenes controlled rapid trait. The populations selected for rapid and slow walking behavior were relaxed after 10 generations of selection. The response to natural selection of rapid population was completely returned to their neutral states after only 5 generations. Such phenomena would be explained by the genetic homeostasis resulted from an action of natural selection. However, the slow population did not make any difference from walking scores of their original artificial selection. It seems reasonable to assume that the slow walking behavior was possibly controlled by a major gene.

• Korean Journal of Health Education and Promotion
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• v.24 no.4
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• pp.99-114
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• 2007

Object: To analyze the effect of a media-campaign for "walking exercise participation improvement", which impacted walking-related awareness and behavior change of residents in Seoul. Method: This study used three campaign media including printing information, walking exercise indication board and a public advertisement of cable TV to lead a walking-related awareness change and practice frequency(number of days per week walking) and time(minutes per day walking) of walking exercise. To evaluate the exposure and message-recall levels of a campaign and effects of awareness change and walking practice, this study used a questionnaire survey(N=377). Result: 1) Group of exposure to campaign more participate and had the higher frequency(p=.015) and time(p=.023) in walking exercise and in comparison with group of nonexposure. 2) Group of changed awareness to campaign more participate and had the higher frequency and time in walking exercise and in comparison with group of no changed perception(p <.05). 3) Level of message recall of ${\ulcorner}$printing information${\lrcorner}$ was associated with number of days per week walking, and level of message recall of ${\ulcorner}$public advertisement of cable TV${\lrcorner}$ was associated with minutes per day walking at a statistically significant level(p <.05). Conclusion: These results suggest that media campaign can enhance the success of community-based efforts to promote awareness change and walking practice.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.15 no.1
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• pp.16-27
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• 2016

This study identified the factors which affect pedestrian behavior using the tobit model with a descriptive analysis. Individual characteristics, household characteristics, zone characteristics were selected as the independent variables. Walking frequency and walking time was adopted for the variables which represent walking behavior. The results showed that the walking time models were superior than the walking frequency models. The model for education purpose had the most lowest fitness and the model for others purpose had characteristics mixed up the various purposes. Futhermore, this research found that independent variables: individual, household and zone characteristic variables affected walking activities of elderly pedestrian by purpose. The walking activity decresed when a pedestrian grew older or had a vehicle or a driver's license. The Elderly facilities promoted the walking activity of seniors. As the floor area of neighborhood and business facilities was wide, the walking activities were animated. In addition, the compacted downtown developments decreased the elderly's walking activities, so it is needed to consider those results in terms of the urban planners.

• Journal of the Architectural Institute of Korea Planning & Design
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• v.35 no.1
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• pp.127-138
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• 2019

This study was to evaluate the walking speed of elderly people by using the travel route big data collected by travel diary and smart phone application. We analyzed the change of walking behavior in the residential street environments of the elderly whether they had a company or not. We interpreted the meaning based on previous studies. In addition, the characteristics of elderly people's use of the residential street environment were analyzed by comparing the change in spatial speed according to the companion. The result reveals that the usage patterns of the residential street environments change depending on whether they were accompanied or not. First, the elderly tend to do more social activities while walking alone than when they were accompanied. When they were accompanied the social activities occur in empty lot near the residential area. However, the social activities of the elderly occur in open space such as neighborhood park or playground while walking alone. Finally, This study has strength that it empirically analyzes the elderly's walking behavior and usage paths in small outdoor spaces, including residential streets.

• Journal of the Society of Disaster Information
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• v.18 no.3
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• pp.495-506
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• 2022

Purpose: When a serious disaster occurred in East Japan on March 11, 2011, some evacuees in shock failed to avoid danger to the best of their ability. Why did they hesitate and waste their time? And why didn't they choose correct escaping routes? This study attempts to classify human behavior through psychological point of view and cognitive science and to interpret behavioral patterns based on animal behaviors from the field of biology. Method: This study first conceptually categorized walking behavior into intellectualization, automaticity and instinct based on the existing literature and matched these with empirical data. Result: The actual walking patterns observed failed to be compatible with these categories and consequently, this study suggests the following five categories: normal, busy, fast & straight, freezing and tizzy. This new classification of walking behavior is based on speed, variation of speed and change of direction. Conclusion: The method used in this study and the results can be applied to simulations of walking behavior and analysis of behavior in emergency situations.

• Journal of The Korean Society of Integrative Medicine
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• v.12 no.2
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• pp.121-131
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• 2024

Purpose : This study aimed to investigate the leisure satisfaction of participants in the Geod-Jyu walking program and to examine the relationship between health promotion behaviors and quality of life. In addition, we investigated the impact of leisure satisfaction with walking among program participants on health promotion behaviors and quality of life. By clarifying these relationships, we aimed to identify factors of leisure satisfaction with walking that could enhance participants' health promotion behaviors and quality of life. Methods : A survey was conducted among 301 participants enrolled in the Geod-Jyu walking program in Chungcheongnam-do, with 288 responses analyzed. Data analysis included Pearson's correlation, confirmatory factor analysis, and multiple regression analysis using SPSS 27.0. Result : Leisure satisfaction exhibited a positive correlation with health promotion behavior (r=.544, p<.01) and quality of life (r=.478, p<.01). Furthermore, health promotion behavior showed a positive correlation with quality of life (r=.636, p<.01). Leisure satisfaction positively influenced quality of life, with physiological satisfaction (β=.16, t=2.32) and relaxation satisfaction (β=.15, t=2.04) emerging as notable contributors. In addition, leisure satisfaction had a significant positive impact on health promotion behaviors, with psychological satisfaction (β=.24, t=3.09) and educational satisfaction (β=.20, t=3.09) playing key roles. Health promotion behavior had a positive impact on quality of life, with all sub variables exhibiting significant positive effects in the following order: self-actualization (β=.24, t=4.16), stress management (β=.22, t=3.97), exercise (β=.22, t=4.05), and health responsibility (β=.12, t=2.14). Conclusion : The findings indicate that factors related to physical and rest satisfaction, as well as health-promoting behaviors facilitated by walking, significantly affected the quality of life among Geod-Jyu participants. Thus, promoting leisure satisfaction and engaging in health-promoting activities through walking can enhance overall well-being. Encouraging participation in the Geod-Jyu walking program is critical for physical and psychological benefits, and for promoting healthier behaviors. Further development of Geod-Jyu is expected to enhance walking satisfaction, promote self-care skills for health management, and positively influence quality of life.

• Korean Journal of Health Education and Promotion
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• v.24 no.3
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• pp.73-86
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• 2007

Objective: The purposes of this study are to understand the characteristics of the participants in a community walking campaign and to analyze the factors related to their participation based on the Transtheoretical Model (TTM). Methods: The study composed of the description of participant characteristics and comparison of them with non-participant characteristics in a walking campaign in K province. The data were collected through a survey of 2,590 participants and 258 non-participants from the same community. The survey instrument included questions about stages of walking and exercise, knowledge and attitude toward walking, and environmental condition for walking. Results: A majority of the walking campaign participants were in the action(24.8%) and maintenance(43.6%) stages of walking and exercise behavior. The non-participant group was split between maintenance(51.6%) and precontemplation (30.6%) stages. Among the participants, effective campaign promotion channels differed by age group while motivation for participation and participation patterns were associated with both age and gender. Favorable physical environment was a significant factor of participating in walking campaign(OR=1.396, CI=1.149-1.696). Although the campaign participants scored higher than the non-participants in most attitude toward walking questions, differences in knowledge scores between two groups were less significant. Conclusion: In conclusion, further social marketing to increase the awareness and to increase the concern of population in the community is needed based on the survey result. Transtheoretical model seems appropriate to apply to the evaluation and the planning the program of the behavior change in the community. Also, more organized and sustainable support in need to maintain the good habit of walking for the participants in walking campaign.

• 제어로봇시스템학회:학술대회논문집
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• 1996.10a
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• pp.83-86
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• 1996

We propose a mathematical model which describes the walking behavior of a person and to analyze the effect of the personality on the dynamics of the crowd. The fundamental assumption is that the human behavior is not a random process but a deterministic process with several basic mechanisms and each fundamental mechanism is common and only the parameter is different from person to person. The proposed model is based on the servomechanism which drives a person along the planned path from point to point. This model has been applied to simulate the walks of people in a crowd and the simulated results have a good coincidence with actual measurement.

• Journal of Computational Design and Engineering
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• v.3 no.3
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• pp.250-265
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• 2016

Owing to our rapidly aging society, accessibility evaluation to enhance the ease and safety of access to indoor and outdoor environments for the elderly and disabled is increasing in importance. Accessibility must be assessed not only from the general standard aspect but also in terms of physical and cognitive friendliness for users of different ages, genders, and abilities. Meanwhile, human behavior simulation has been progressing in the areas of crowd behavior analysis and emergency evacuation planning. However, in human behavior simulation, environment models represent only "as-planned" situations. In addition, a pedestrian model cannot generate the detailed articulated movements of various people of different ages and genders in the simulation. Therefore, the final goal of this research was to develop a virtual accessibility evaluation by combining realistic human behavior simulation using a digital human model (DHM) with "as-is" environment models. To achieve this goal, we developed an algorithm for generating human-like DHM walking motions, adapting its strides, turning angles, and footprints to laser-scanned 3D as-is environments including slopes and stairs. The DHM motion was generated based only on a motion-capture (MoCap) data for flat walking. Our implementation constructed as-is 3D environment models from laser-scanned point clouds of real environments and enabled a DHM to walk autonomously in various environment models. The difference in joint angles between the DHM and MoCap data was evaluated. Demonstrations of our environment modeling and walking simulation in indoor and outdoor environments including corridors, slopes, and stairs are illustrated in this study.