• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.15 no.5
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• pp.1-11
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• 2016

The purpose of this study is to contribute the use of special taxi for the transportation vulnerable such as elderly and pregnant woman in terms of improving transportation mobility and extending social participation. We analyzed the DB users of STS system operating in Suwon, and surveyed the preference statement. Specifically, we have built transportation mode choice models for the elderly and pregnant woman, and then we drew the activating STS plan by comparing influence factors for each model. Based on the results of the study, 23% of STS user was the elderly people and pregnant women, 31% of user was for hospital passage purpose, and short-haul passage within 2 ~ 5km was 70% level of the passage. According to preference survey results between STS and Bus, fare was the highest impact factor in the mode choices for the elderly, and the participants who are older and car owners have been found to prefer the special taxi. For the pregnant woman, travel time and fare were the main influence factors of choices, and it was discovered that they preferred the special taxi when they are car owners and trips was frequented. Also, if the fare of special taxi is about 70% of the regular taxi fare, The share rates of Special Taxi comparing to bus for the elderly and pregnant woman are analyzed to be 51.1% and 63.6% each. Therefore, the adjustment of the fare would be effective to encourage the use of the special taxi. The results of this study can be used as a basis for establishing the rational fare structure of the special taxi.

• Journal of Environmental Impact Assessment
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• v.18 no.6
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• pp.347-357
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• 2009

This study conducted a vulnerability assessment on Korea's physical infrastructure to provide base data for developing strategies to strengthen Korea's ability to adapt to climate change. The assessment was conducted by surveying professionals in the field of infrastructure and climate change science. A vulnerability assessment was carried out for seven climate change events: average temperature increases, sea level rise, typhoons and storm surges, floods and heavy rain, drought, severe cold, and heat waves. The survey asked respondents questions with respect to the consequences of each climate change event, the urgency of adaptation to climate change, and the scale of investment for adaptation to each climate change event. Thereafter, management priorities for infrastructure were devised and implications for policy development were suggested. The results showed that respondents expected the possibility of "typhoons and storm surges" and "floods and heavy rain" to be the most high. Respondents indicated that infrastructure related to water, transportation, and the built environment were more vulnerable to climate change. The most vulnerable facilities included river related facilities such as dams and riverbanks in the "water" category and seaports and roads in the "transport and communication" category. The results found were consistent with the history of natural disasters in Korea.

• The Journal of Korean Physical Therapy
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• v.35 no.2
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• pp.37-42
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• 2023

Purpose: Compared to cities, rural areas are in a medical blind spot and face difficulties in accessing medical services due to inconvenient transportation facilities, lack of medical facilities, and the heavy burden of medical expenses. This study was carried out to identify the problems relating to the musculoskeletal system of the elderly in rural and fishing villages, which are medically vulnerable areas, and sought to present a regionally differentiated healthcare model. Methods: The study was conducted in 80 elderly people in two rural villages and two fishing villages after seeking inputs regarding medically vulnerable groups in the Gyeongnam Province. Postural balance and muscle flexibility were assessed and postural evaluation was conducted to identify musculoskeletal problems and gait stability. Strength and range of motion for each body segment were assessed for evaluating functional motion. Results: The elderly in both rural areas showed forward head posture characteristics. The strength level of the elderly in both rural areas was higher than the average, but their flexibility and balance ability were lower than the average. Conclusion: The musculoskeletal problems of the elderly in rural and fishing villages in this study did not show regional characteristics according to the area of residence. However, overall flexibility and balance ability appeared to be reduced. Therefore, a new management model connecting the region and the university is necessary in preparation for the coming era of community care.

• Journal of Wellbeing Management and Applied Psychology
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• v.6 no.4
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• pp.63-68
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• 2023

Purpose: This study aims to investigate the national obligation of public health support for residents in medically vulnerable areas in Korea, and to propose a suitable model for public health institutions in this region. Research design, data, and methodology: A survey targeting residents was conducted from August 10 to August 17, 2021, with a sample size of 177 general citizens. The survey utilized a structured questionnaire administered online through Google, employing convenience random sampling. After an editing process to ensure data accuracy, the final dataset of 174 valid samples underwent encoding, coding, and cleaning using the IBM SPSS Statistics 22.0 program for analysis. Results: Health status revealed a moderate level, and 63.8% reported having chronic diseases, particularly prevalent among the elderly. External healthcare institutions were commonly utilized, with proximity and competence of doctors being primary reasons. Respondents expressed a need for improving the public health and medical system, emphasizing the establishment of a County Health Centre and expanding medical departments. Conclusions: In this region, the region's unique challenges, including education, employment, population decline, aging, and transportation, require multidimensional efforts and urgent intervention by public entities. Long-term strategies involve considering the establishment of a health and medical institute, adjusting health centre resources to local realities, and fostering a cooperative system for collaboration among residents and institutions.

• Land and Housing Review
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• v.11 no.1
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• pp.109-116
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• 2020

This study aims to establish an approach to assess urban flood vulnerability by identifying social characteristics such as the road transportation and the vulnerable groups. Assessment procedures comprise three steps as: (1) composing the assessment criteria to reflect the urban characteristics; (2) calculating the weight; and (3) evaluating the vulnerability. The criteria were adopted by Delphi survey technique. Four criteria as land cover, residents, vulnerable areas, and disaster response were adopted in the current study. To determine the weight set of criteria, subjective and objective methods were combined. The weight set was determined using the combined method which reflects the Delphi method and Entropy analysis. In the process of data-based construction, GIS tools wwere used to extract administrative unit materials such as land cover, road status, and slope. Data on population and other social criteria were collected through the National Statistical Office and the Seoul Metropolitan statistical data. TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) technique, which uses materials from cell units in order to rank the closest distance to the best case and the farthest distance from the worst case by calculating the distances to the area of assessment, was applied to assess. The study area was the Dorimcheon basin, a flood special treatment area of Seoul city. The results from the current study indicates that the established urban flood vulnerability assessment approach is able to predict the inherent vulnerable factors in urban regions and to propose the area of priority control.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.5
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• pp.2882-2892
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• 2014

The purpose of this study was to develop a program to prevent depression and suicidality in vulnerable community-dwelling elderly women, then to furthermore demonstrate the effectiveness of the program in a community setting. The researchers designed the depression and suicide prevention program by combining a cognitive behavioral theory model with prospective research data. The effects of the program were measured by time-series design based on survey results from 12 vulnerable community-dwelling elderly women. The depression and suicide prevention program was implemented and feelings of depression, suicidal ideation, and hopelessness were measured 4 weeks before implementation, prior to implementation, immediately following implementation, and 4 weeks after implementation. Although there was no statistically significant difference in feelings of depression, suicidal ideation, and hopelessness immediately after implementation of the program, there was a statistically significant difference in all parameters 4 weeks following the implementation of the program. Therefore, we recommend the implementation of our program in community mental health care centers or welfare facilities.

• Journal of Korean Society of Rural Planning
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• v.29 no.4
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• pp.69-79
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• 2023

This study investigated changes in the spatial structure of rural villages in Sayang Village, where accessibility restrictions to island areas were improved, and analyzed the spatial composition of houses according to changes in the living environment. First, despite the island's vulnerable transportation requirements being resolved by the completion of the land and bridge in 2018, the local economy continues to stagnate due to a vicious cycle of local living services and job losses. Second, when a survey of residents' changed living services was conducted through the continuation of the specification map, the scope of living areas was expanded by analyzing the frequency and place of visit of fresh food purchases, use of convenience facilities, and medical visits. Third, it is judged that the naturally formed village is composed of small roads to the inside of the village due to the disorganized street system and the form of walking instead of vehicles. Finally, as a result of analyzing the residential space of houses in fishing villages, the aging rate of houses over 30 years old was 62 (91.2%), and the average area of the first house space built was 65.2m² to 14.1m², an increase of 17.8% of the total area.

• Journal of the Korea Society of Computer and Information
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• v.29 no.1
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• pp.61-68
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• 2024

Despite the continuous efforts to mitigate pedestrian accidents at crosswalks, the problem persist. Vulnerable groups, including the elderly and disabled individuals are at a risk of being involved in traffic incidents. This paper proposes the implementation of object detection algorithm using the YOLO v5 model specifically for pedestrians using assistive devices like wheelchairs and crutches. For this research, data was collected and utilized through image crawling, Roboflow, and Mobility Aids datasets, which comprise of wheelchair users, crutch users, and pedestrians. Data augmentation techniques were applied to improve the model's generalization performance. Additionally, ensemble techniques were utilized to mitigate type 2 errors, resulting in 96% recall rate. This demonstrates that employing ensemble methods with a single YOLO model to target transportation-disadvantaged individuals can yield accurate detection performance without overlooking crucial objects.

• Journal of the Society of Disaster Information
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• v.20 no.1
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• pp.199-205
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• 2024

Purpose: This study aims to improve the recognition rate of Auto People Counting (APC) in accurately identifying and providing information on remaining evacuees in disaster-vulnerable facilities such as nursing homes to firefighting and other response agencies in the event of a disaster. Methods: In this study, a baseline model was established using CNN (Convolutional Neural Network) models to improve the algorithm for recognizing images of incoming and outgoing individuals through cameras installed in actual disaster-vulnerable facilities operating APC systems. Various algorithms were analyzed, and the top seven candidates were selected. The research was conducted by utilizing transfer learning models to select the optimal algorithm with the best performance. Results: Experiment results confirmed the precision and recall of Densenet201 and Resnet152v2 models, which exhibited the best performance in terms of time and accuracy. It was observed that both models demonstrated 100% accuracy for all labels, with Densenet201 model showing superior performance. Conclusion: The optimal algorithm applicable to APC among various artificial intelligence algorithms was selected. Further research on algorithm analysis and learning is required to accurately identify the incoming and outgoing individuals in disaster-vulnerable facilities in various disaster situations such as emergencies in the future.

• Journal of Korean Society of Transportation
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• v.17 no.3
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• pp.117-130
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• 1999

Earthquakes damage roadway bridges and structures, resulting in significant impacts on transportation system Performance and regional economy. Seismic risk analysis (SRA) procedures establish retrofit priorities for vulnerable highway bridges. SRA procedures use average daily traffic volumes to determine the relative importance of a bridge. This research develops a cost-effective transportation network analysis (TAN) procedure for evaluating numerous traffic flow analyses in terms of the additional system cost due to failure. An important feature of the TNA Procedure is the use of an associative memory (AM) approach in the artificial intelligence held. A simple seven-zone network is developed and used to evaluate the TNA procedure. A subset of link failure system states is randomly selected to simulate synthetic post-earthquake network flows. The performance of different AM model is evaluated. Results from numerous link-failure scenarios demonstrate the applicability of the AM models to traffic flow estimation.