• Journal of the Korean Institute of Landscape Architecture
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• v.22 no.3
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• pp.29-40
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• 1994

The purpose of this study was to investigate factors and variables which have significant effects on satisfaction of urban pedestrian sidewalk in taejon city, and to suggest basic information for urban pedestrian sidewalk. These works consist of two phase; The first, tested the user's degree of satisfaction for 37 spots of pedestrian sidewalk slide and then selected 10 spots slide by the stratified random sampling method. The second, analyzed factors and variables of satisfaction of urban pedestrian sidewalk using the semantic differential scale method, and then processed by mean score, correlation, factor analysis, multiful algorithm. The results were summarized as follows; 1) The relationship between the man group and the woman group was highly correlated as well as between the student group.1 and the student group.2 hense these groups statistically showed no difference in satisfaction ratings. 2) Pedestrian sidewalk width, cleanness, pavement materials and construction condition can be significant variables of satisfaction of urban pedestrian sidewalk. 3) Factors covering the satisfaction of urban pedestrian sidewalk have been found to be Environment of pedestrian sidewalk, Vegetation of pedestrian sidewalk and Form of pedestrian sidewalk. By using the control method for the number of factors, C.P. has been obtained as 62.8%.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.4 no.2
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• pp.1-10
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• 2001

The purpose of this study was to investigate factors and variables which have significant effects on landscape satisfaction of urban pedestrian road in Bun-dang new town and to suggest basic information for urban pedestrian road design. These works consist of two phase. First, we tested the Hye-Cheon college students' degree of landscape satisfaction for 37 spots of urban pedestrian road and then selected 10 sports slide by the Sturges' formula. Second, we analysed factors and variables on landscape satisfaction of urban pedestrian road using the semantic differential scale method and then processed using descriptive analysis, factor analysis and multiple linear regression analysis. The major findings of this study can be summarized as follows; 1) The difference of landscape adjectives between the highest score of landscape satisfaction slide and the lowest score landscape satisfaction slide were diversity of vegetation, plenty of the shade of a tree, naturalness and cleanness. 2) Diversity of vegetation, width of road, freedom of danger and diversity of environment can be significant variables of major effects on landscape satisfaction of urban pedestrian road by using the multiple linear regression analysis. 3) Factors covering the landscape satisfaction of urban pedestrian road have been found to be Environment of urban pedestrian road and Constitution of urban pedestrian road. By using the Varimaxs' rotation factor analysis for the number of factors' cumulative percentage has been obtained as 64%. 4) Environment of urban pedestrian road and Constitution of urban pedestrian road can be significant factors of major effects on landscape satisfaction of urban pedestrian road by using the multiple linear regression analysis. In conclusion, the landscape satisfaction factors and variables of urban pedestrian road need to be considered in plan or design the urban pedestrian road.

• Journal of Environmental Science International
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• v.20 no.9
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• pp.1205-1212
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• 2011

As serving people's activities, pedestrian road systems are basic and necessary facilities in urban structure. To provide and utilize these pedestrian road systems in residential area would enhance urban environment as well as quality of life. For this reason, pedestrian road should be planned by consideration of people's activity in residential area. Evaluation of existing pedestrian road should be also oriented how people use it and what people do in it. This study amis to investigate functions of pedestrian road system throughout evaluation of user's satisfaction in order to improve better pedestrian road system in residential area. The purposes of this study are to analyze components of factors affecting on user's satisfaction, and to find the relationship among affecting factors. For this study, the on-site questionnaire method was applied to 267 individuals who were collected as the study areas where locate Toyogaoka and Kaidori, Japan. The collected data were clarified exploratory factors, and analyzed relationship between the factors and satisfaction by applying quantitative statistical techniques for the mapping investigation, Mann-Whitney u-test, and correlation. The results of this study are follows. The pedestrian road system is more preferred than surroundings of vehicle roads in residential district area where maintains pedestrian road as open space. In addition, satisfactions of the pedestrian road for each purpose were highly evaluated, because of conformability and convenience for usage. Consequently, the pedestrian road which is secure and greening as an open space is well carried out for the living circulation of residents. It would suggest that pedestrian road have to be managed and planned not a function of circulation but an open space system.

• Journal of Korea Planning Association
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• v.54 no.3
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• pp.106-118
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• 2019

In order to develop pedestrian navigation service that provides optimal pedestrian routes based on pedestrian satisfaction levels, it is required to develop a prediction model that can estimate a pedestrian's satisfaction level given a certain condition. Thus, the aim of the present study is to develop a pedestrian satisfaction prediction model based on three machine learning algorithms: Logistic Regression, Random Forest, and Artificial Neural Network models. The 2009, 2012, 2013, 2014, and 2015 Pedestrian Satisfaction Survey Data in Seoul, Korea are used to train and test the machine learning models. As a result, the Random Forest model shows the best prediction performance among the three (Accuracy: 0.798, Recall: 0.906, Precision: 0.842, F1 Score: 0.873, AUC: 0.795). The performance of Artificial Neural Network is the second (Accuracy: 0.773, Recall: 0.917, Precision: 0.811, F1 Score: 0.868, AUC: 0.738) and Logistic Regression model's performance follows the second (Accuracy: 0.764, Recall: 1.000, Precision: 0.764, F1 Score: 0.868, AUC: 0.575). The precision score of the Random Forest model implies that approximately 84.2% of pedestrians may be satisfied if they walk the areas, suggested by the Random Forest model.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.23 no.6
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• pp.1-13
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• 2009

The purpose of this study is to investigate the applicability of the CIE standard on lighting environments to Korea. In the field study, horizontal and the vertical illuminance was measured at the pedestrian road in the central business district of a city, and the questionnaires were conducted to get information regarding pedestrian's satisfaction with lighting environment. Four areas were selected for this survey. That areas have different type of pedestrian roads concerning the lighting conditions and the number of walkers. From the results of the measurements, It is known that the illuminance of pedestrian roads is different according to the lighting conditions and the number of poot passengers. Also the results of questionnaires show that the illuminance of the pedestrian roads affect to the pedestrian's satisfaction. Lastly, the CIE standard on lighting environments is applicable to the central business district of the cities in Korea.

• Journal of the Society of Disaster Information
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• v.8 no.4
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• pp.347-361
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• 2012

To find out the major factors affecting the pedestrian satisfaction, the quantitative evaluation on the walking environment were carried out using questionnaire with the 5-point Likert scale in the selected 6 community roads in Seoul. Data were analyzed using descriptive, correlation, and regression analysis. One of main findings reported that pedestrians are not satisfied yet with pedestrian environment(Mean=2.88, S.D.=1.12). The correlation analysis reported 'Safe to walk' (R=.640,p=.001), 'Feel like walking' (r=.603, p=.001), 'Enjoyable to walk'(R=.601,p=.001), and 'Adequate for walking & dialogue'(R=.586,p=.001), are top four factors that positively correlate with overall pedestrian satisfaction. Results indicate that safety should be considered in priorities but amenity development be thought to be important in pedestrian improvement projects. And a broad public participation in decision-making is needed for the effectiveness of the project.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.15 no.3
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• pp.129-145
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• 2016

This paper analyzed and compared the service level and satisfaction of the sidewalks in collector roads from 6 different location, which has a lot of volume of pedestrians. For the study, it performed an investigation of road geometry, flow, research about satisfaction of walking and video recording. Based on this data, this study computed the service level of the sidewalks and pedestrian satisfaction. This study made a sense of correlation between service level and satisfaction. Also it focused on factors influencing on the effectiveness of satisfaction. This study also analyzed the change of walking behavior chracteristics according to the change of the level of satisfaction. This study adopted Multi-Modal Level of Service(MMLOS) method, because it could consider more factors. This study reached the conclusion that MMLOS method cannot completely reflect the level of pedestrian satisfaction. We have to consider more factors than in the current system for use in the development of sidewalk design. The result of this study is expected to reflect the pedestrian satisfaction in future sidewalks design.

• Science of Emotion and Sensibility
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• v.13 no.1
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• pp.197-206
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• 2010

For an emotion retrieval system implementation to support pedestrian navigation, coordinating the pedestrian emotion model with the system user's emotion is considered a key component. This study proposes a new method for capturing the user's model that corresponds to the pedestrian emotion model and examines the validity of the method. In the first phase, a database comprising a set of interior images that represent hypothetical destinations was developed. In the second phase, 10 subjects were recruited and asked to evaluate on navigation and satisfaction toward each interior image in five rounds of navigation experiments. In the last phase, the subjects' feedback data was used for of the pedestrian emotion model, which is called ‘learning' in this study. After evaluations by the subjects, the learning effect was analyzed by the following aspects: recall ratio, precision ratio, retrieval ranking, and satisfaction. Findings of the analysis verify that all four aspects significantly were improved after the learning. This study demonstrates the effectiveness of the learning algorithm for the proposed pedestrian emotion model. Furthermore, this study demonstrates the potential of such pedestrian emotion model to be well applicable in the development of various mobile contents service systems dealing with visual images such as commercial interiors in the future.

• Journal of the Korean Institute of Rural Architecture
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• v.23 no.1
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• pp.35-42
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• 2021

This study analyzed the path that affects the user's walking satisfaction on main street in four local government towns in Jeollanam-do. and as an empirical study to find the direction of improvement toward the main street from the perspective of walking, the results are as follows. First, it was found that the network had a direct (+) effect on walking satisfaction as a main street. In addition, it was analyzed that land use had no direct (+) effect on walking satisfaction on the main street, but had a direct (+) effect on the network. Second, it was analyzed from the fact that the walking environment does not have a direct (+) effect on walking satisfaction, but has a direct (+) effect on the network. and it was analyzed that the street-building relationship had a direct (+) effect on the street landscape, and the street landscape had a direct (+) effect on the walking environment. The study was completed by suggesting implications according to the above research results.

• Journal of the Korean Regional Science Association
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• v.36 no.2
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• pp.25-36
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• 2020

In recent urban policies, the importance of 'health' has increased significantly. In Korea, the deterioration of physical health due to environmental problems caused by rapid urbanization and the deterioration of mental health due to the disconnection of social relations in a competitive society are constantly occurring. this study aims to examine the effect of the satisfaction and safety recognition on pedestrian environment on the subjective health status focused on gender difference of the intermediating effect of social capital. I used 2018 Seoul Survey and employed Structural Equation Model multi-group analysis. According to the empirical analysis, in male groups, the satisfaction and safety recognition on the pedestrian environment affect social capital. Also, satisfaction and social capital affect subjective health status. On the other hand, in female group, perception of pedestrian environment affect social capital. In addition, satisfaction, safety recognition and social capital affect subjective health status. Therefore, interdisciplinary study in the field of health and urban policy and discriminatory policy for strategic urban policy for citizen's health is necessary.