• Journal of Korean Society of Transportation
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• v.27 no.2
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• pp.189-197
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• 2009

The purpose of this study is to analyze the relationships between the traffic accidents of elderly pedestrians and barrier-free facilities in the case of Cheongju. First, many accidents of elderly pedestrians were determined to occur in the road and during crossing. Second, the correlation analysis shows that the paving conditions, guiding blocks and embossed blocks have impacts on elderly safety. Finally, the logistic regression model, which is statistically significant (chi-square =0.000, Nagelkerke =0.198), was developed, and includes the paving conditions, bollards, audible signals and remaining time signs as the independent variables. The variables, with the exception of the existence of bollards, are all analyzed to have positive impacts to elderly safety.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.16 no.5
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• pp.85-95
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• 2017

This study aims to identify the throw distance in terms of truck weight, bumper height, and speed in a truck and pedestrian collision, and to propose a model for throw distance estimates. For this purpose, a simulation analysis is performed using the PC-crash program with the following experiment conditions: Truck weight of 5t, 15t, and 25t, Bumper height from 0.3m to 0.6m by 0.1m, and speed from 10km/h to 100km/h by 10 km/h. Experimental results show that the truck speed and bumper height are found to be significant factors for pedestrian throw distance, but truck weight is not a significant factor. Also, a regression model is developed for pedestrian throw distance estimate from the multiple regression analysis. The adjusted $R^2$ value of the model is 93.3%, which is very good explanatory power.

• Journal of Korean Society of Transportation
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• v.35 no.4
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• pp.321-331
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• 2017

The objective of this study is to analyze the factors affecting the pedestrian accidents of roundabout near schools. To this end, this study has focus on the comparative analysis of pedestrian accidents across different school areas. The traffic accident data from 2007 to 2014 are collected from TAAS data set of Road Traffic Authority. To develop the pedestrian accident rate model, the linear regression model has been utilized in this study. 28 explanatory variables such as geometry and traffic volume factors are used. The main results are summarized as follows. First, the null hypotheses that the number of pedestrian accidents are the same are rejected. Second, 5 multiple linear regression accident models with higher statistical significance (adjusted $R^2$ of 0.651~0.788) have been developed. Third, while the common variables of 3 models (model I~III) related to school location are evaluated to be the pedestrian island, crosswalk, types of roundabout, elementary school and bus stop. Fourth, while the common variable of 3 models (model III~V) related to near school area or not is evaluated to be pedestrian island, type of roundabout, sidewalk, elementary school, speed hump, speed limit sign and number of entry lane. As a result, the installation of pedestrian islands and crosswalk might be expected to decrease the number of pedestrian accidents near schools.

• Journal of the Korean Institute of Landscape Architecture
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• v.52 no.1
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• pp.87-100
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• 2024

This study aimed to investigate the impact of the quality of the street environment in residential areas on the mental health of urban residents, considering the frequency of street use. Using a zero-inflated negative binomial regression model, the study analyzed the influence of walking frequency and the street environment on depressive symptoms of urban residents. The research focused on Seoul, South Korea, in 2017, with depressive symptoms as the dependent variable and street environment variables, walking variables, and individual characteristics as independent variables. Additionally, the study explores the interaction effect of street greenery and walking frequency to analyze the synergistic impacts of walking in green spaces on mental health. The findings indicate that a higher ratio of street green areas is associated with fewer depressive symptoms. Increased walking frequency is linked to a reduction in depressive symptoms or a weaker manifestation of such symptoms. The interaction effect confirms that more frequent walking in green spaces is associated with weaker depressive symptoms. Lower ratios of visual complexity are correlated with reduced depressive symptoms. This study contributes to addressing urban residents' mental health issues at the community level by emphasizing the importance of the street green environment in residential areas.

• The Journal of the Korea Contents Association
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• v.21 no.2
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• pp.667-675
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• 2021

This study conducted a systematic review of evidence-based interventions to confirm the importance of gait in dementia patients and to inform the necessity of various interventions necessary for gait. Based on PRISMA's guidelines and evidence-based intervention, a systematic review were conducted, and papers published in domestic journals for the past 10years were collected, and the dependent variables measured along with the intervention type and gait were analyzed. For data search, research papers from January 2011 to June 2020 were collected through RISS, KISS, the National Library of Korea, and the Library of Congress. The main search terms were 'dementia patient', 'walking', and 'walking ability'. Searched 57 papers on dementia patients and gait that meet the literature selection criteria. Among them, papers overlapping with papers before 2010, papers whose dependent variable is not related to gait ability were excluded, and finally, other than dementia diseases. As for the type of gait intervention, there were many programs related to exercise such as fall prevention and physical activity, and the dependent variables measured along with gait were physically and psychologically diverse. Although domestic studies for dementia patients are conducted in a variety of directions and methods, there are few studies on the improvement of function and gait of the lower extremity part of the body. Therefore, it is necessary to study the multifaceted and various intervention methods for walking in dementia patients.

• Journal of Korea Entertainment Industry Association
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• v.15 no.8
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• pp.363-377
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• 2021

The present study investigated the effects of dynamic tubing gait training(I and II) on the postural alignment, gait, and quality of life in chronic patients with Parkinson's disease. This study is based on the case study that recruited a total of 3 patients with chronic Parkinson's disease (Hoehn and Yahr Stage of 1 to 3 each one person). Dynamic tubing gait training (I and II) applied to chronic patients with Parkinson's disease for 25 sessions, 30 minutes a day, 5 days a week, over 5 weeks period. To investigate the effects of this study, evaluating using the postural alignment test, muscle activity tests, gait analysis, and quality of life scale for patient with Parkinson's disease. After the intervention of Dynamic tubing gait training (I and II), Trunk flexion was decreased. Also, during walking from initial contact (IC) to mid stance (Mst), muscle activity of Quadriceps, Hamstring, and Tibialis Anterior (TA) was increased and muscle activity of Gastrocnemius was decreased. The muscle activation of Erector Spinae (ES T12, L3) was increased in the H&Y I and III stages and decreased in the H&Y II stage. Length of gait line, single support line, ant/post position and lateral symmetry of center of pressure (COP) parameters improved. The spatio-temporal gait parameters including of step length, stride length, and velocity was increased, and cadence decreased. Further the quality of life of patients with Parkinson's disease was improved. Based on these findings, Dynamic tubing gait training (I and II) could be applied as a new approach to improve posture, gait, quality of life in chronic patients with Parkinson's disease for more than 5 years, whose drug resistance is halved.

• Journal of Korean Society of Transportation
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• v.21 no.3
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• pp.121-134
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• 2003

Forecasting models for crosswalk pedestrian volume, which consider safety of crosswalks and good traffic operation accidents, have been established in order to reduce total number of crosswalk pedestrian accidents. However, the existing models did not include pedestrian volume which seemed to be very significant in the forecasting models because there were no pedestrian volume related data and no methods of estimating pedestrian volume. This paper presents estimating models for the total number of trips, which are produced in zone i and attracted to zone j, and a process of estimating pedestrian volume in the goal year. First of all, the estimating models included the characteristics of land-use around a signalized intersection and the crosswalk pedestrian volume as factors. Secondly, the estimated crosswalk pedestrian volume was distributed to the crosswalk pedestrian volume each path in the basic year by friction factors of Gravity Model, adjustment factors for area and ratio of pedestrian volume who moved diagonally at the crosswalk. Thirdly, the estimating models of crosswalk pedestrian volume in the goal year were presented by using the distributed crosswalk pedestrian volume.

• Journal of Korean Society of Transportation
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• v.32 no.4
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• pp.315-326
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• 2014

This paper analyzes and compares the pedestrian characteristics of 5 urban communities with 2012 Seoul floating population survey data. First of all, differences in total pedestrian volumes and time distribution of the volumes are compared across the 5 urban communities and the effects of pedestrian road properties are investigated. Then, we conduct a regression analysis to find factors influencing pedestrian volume according to the type of urban community and day of week. As results, the urban community had the greatest volume and the volume increased significantly at lunch time. Center bus lane, bus stop, and crosswalk lead to more trips in the urban community, while opposite patterns occurred in the other communities. Less slopes and commercial region areas caused more trips in all communities. Regression analysis results showed that a variety of variables including demographic indices, land use type and pedestrian road properties differently affect pedestrian volumes in individual urban communities. The research can be used as basic data to establish polices for pedestrian environment improvement.

• Journal of Korean Society of Transportation
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• v.27 no.2
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• pp.107-115
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• 2009

Traffic islands were introduced for drivers and pedestrians to use the road in a safe and orderly way and were also a specified zone between traffic lanes to divide conflicting traffic flows and to provide pedestrian refuge. However, existing research and relevant standards described its purpose and effects only but not a safety standard to decide whether the traffic island warranted. This study was to introduce a parameter which had a high relationship with accidents by analyzing road and traffic conditions and traffic accident data at urban intersections. Based on the relationship between the parameter and the traffic accidents at the intersection, a pedestrian accident probability model was made by using a logit model. In addition, the study reviewed a pedestrian accident probability corresponding to traffic volume and size of the intersection during design of the intersection and then suggested the effectiveness of the traffic island in terms of traffic safety. In conclusion, when a large-scale intersection has significant traffic volumes, a high probability of traffic island-induced pedestrian accidents appears, while in the case of small volumes, the probability is low. Targeted design and operations of a traffic islands is necessary, because its introduction itself does not enhance pedestrian safety in all cases at all intersections. This study can be a useful reference for further development to set up a scheme of the traffic islands in terms of traffic safety.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.38 no.9
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• pp.989-997
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• 2014

In this paper, we describe a design method for the static walking algorithm of a subsea hexapod robot called Crabster (CR200). To design the gait algorithms of a hexapod robot, we propose a design method that uses a gait schedule vector and leg pair vector to secure convenience and expandability. Several walking algorithms are designed that are capable of being applied to CR200 according to the underwater environment and explorative conditions. In addition, gait transition is freely performed between algorithms by applying common control parameters to them. The gait algorithms designed using the proposed method are simulated using MATLAB and validated against the results of experiments.