• Land and Housing Review
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• v.8 no.3
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• pp.131-143
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• 2017

Automobiles and parking lots have greatly been increased by the continuous development of new towns and residential districts. There were not enough parking lots; and although there were off-street parking lots available for sale, they were not easily sold. Through a parking regulation, local governments can require parking spaces for more than a certain rate in developing areas. Despite local governments should require parking spaces within the parking demand and regulation, they did not investigate parking demands. Off-street parking spaces are not easy to sell because they don't consider the parking demand. In this study, we analyzed the factors that affect the parking management in order to increase sales of the off-street parking. The factors were "the characteristics of the parking lots", "the accessibility of the off-street parking", and "the traffic environment around off-street parking." We have derived suggestions for these factors. In addition, this study has derived nine variables affecting the parking operation in these three factors, and suggested a logistic regression model and the influence of each factors. According to the analysis, "parking signs" were the most influential. Next were "land uses" and "lanes on road".

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.2
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• pp.44-53
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• 2023

Recently, serious parking problems are occurring due to the difficulty of securing sufficient parking space, and it may lead to other traffic or social problems. In order to solve the parking problem in areas and districts beyond a certain range, a study on-roads and off-street parking lots reflecting regional characteristics is necessary. Therefore, this study establishing a parking demand calculation model for use as a basic study in establishing on-road and off-road characteristics. In order to conduct the study, Dong-fu, Daegu Metropolitan City was divided into dongs, and parking facilities and parking demand were investigated. The survey time was divided into daytime and nighttime on weekdays, and the types of vehicles were divided into three types: passenger car, small trucks and buses, large trucks and buses. As explanatory variables for calculating parking demand, the total floor area of buildings for each of six purposes was used, including detached houses, apartment houses, neighborhood living facilities, cultural and assembly facilities, business facilities, and sales facilities. As a result of the correlation analysis, among the six explanatory variables, the total area of neighborhood living facilities showed a significant correlation with on- and off-street parking demand. A regression analysis model was constructed using the total area of neighborhood living facilities as an explanatory variable, and statistically significant results were obtained.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.1
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• pp.39-51
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• 2023

This study uses the hedonic price approach to estimate the economic value of a parking lot in an apartment building. In this study, a logarithmic function was applied to estimate the price elasticity of parking spaces. Variables were composed of an independent variable (apartment house characteristics) and a dummy variable (external characteristics). Detailed variables include exclusive area, number of floors, waterproofing, number of bathrooms, and number of parking spaces per household. Based on the results of the analysis for the entire year, the increase in the number of parking spaces affects a price increase of approximately 25.97 million won to 59.68 million won, which can be interpreted as the economic value of the parking space. However, since Hanam City was specified in this study, there is a limit to generalizing the current results and using them for project evaluation.