• 지역연구
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• 제9권2호
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• pp.71-87
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• 1993

The purpose of this study is to analyze the restructuring processes of the locations of service industry whose demand has been decrease rapidly. The demand of movie theater has been change dramatically during the last three decades. the spatial distribution patterns of movie theaters have been changed according to the changes in the demand. In order to investigate the locational charateristics of movie theaters, in seoul we surveyed the consumer's behavior. We focused on the study to examine the relationships between the locations of movie theaters and transportation development. Especially, We look at the impacts of the development of subway networks on the locations of movie theaters in Seoul. The dvelopment of subway networks has played a very of movie theaters location. The hierarchicla structures of movie theaters have also chaged. Inspite of declining in the demand for movie theater, the number of first-run movie theaters has been increased continuously. The number of second-run movie theaters has been decreased dramatically. Some of them has been upgraded to first-run theater and some of them has been smallized. But, most of them have been closed. An the other hand the quality of movie theater facilities tends to be higher, while the sizes of movie theaters tends to be smallized.

• ETRI Journal
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• 제44권4호
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• pp.624-640
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• 2022

Taxi-demand forecasting and hotspot prediction can be critical in reducing response times and designing a cost effective online taxi-booking model. Taxi demand in a region can be predicted by considering the past demand accumulated in that region over a span of time. However, other covariates-like neighborhood influence, sociodemographic parameters, and point-of-interest data-may also influence the spatiotemporal variation of demand. To study the effects of these covariates, in this paper, we propose three models that consider different covariates in order to select a set of independent variables. These models predict taxi demand in spatial units for a given temporal resolution using linear and ensemble regression. We eventually combine the characteristics (covariates) of each of these models to propose a robust forecasting framework which we call the combined covariates model (CCM). Experimental results show that the CCM performs better than the other models proposed in this paper.

• 한국실내디자인학회논문집
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• 제16권6호
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• pp.161-171
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• 2007

With a rapid expansion of the elderly population, there is a greater demand for the construction of senior complexes. However, due to a land price increase and insufficient financial resources, accommodating such a demand is challenging. Also, as aging progresses, many elderlies tend to be isolated from local community, because of deteriorating health. As a result, constructing senior complexes is becoming an important community project. The construction of senior complexes in Korea has been started since early 2000, so it is still in the beginning stage in Korea. However, in the case of Japan, they have more experience in building such buildings. Therefore, in this study, 49 senior complexes in Japan were analysed, and the following spatial characteristics were derived. 1. By classifying senior complexes largely into a complex type with similar facilities and a complex type with different facilities, 12 types were derived. Depending on the types of facilities, basic sharing rooms and selectively sharing rooms by need are suggested. 2. Depending on 4 characteristics, such as spatial composition, entrance type, circulation form, and complex facility type, 17 types of senior complexes were derived, and the characteristics of each type are presented.

• Journal of the Korean Data and Information Science Society
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• 제13권2호
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• pp.261-270
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• 2002

Recently, the demand of the Intelligent Transportation System(ITS) has been increased to a large extent, and a real-time traffic information service based on the internet system became very important. When ITS companies carry out real-time traffic services, they find some traffic data missing, and use the conventional method of reconstructing missing values by calculating average time trend. However, the method is found unsatisfactory, so that we develop a new method based the spatial and spatial-temporal models. A cross-validation technique shows that the spatial-temporal model outperforms the others.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2008년도 International Symposium on Remote Sensing
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• pp.433-436
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• 2008

A demand on the spatial data management has been rapidly increased with the introduction and diffusion process of ITS, Telematics, and Wireless Sensor Network, and many different people use the digital map that offers various thematic spatial data. Spatial data for digital map can manage to tile-based and feature-based data. The existing tile-based digital map management systems have difficult problems of data construction, history management, and updating based on a spatial object. In order to solve these problems, this paper proposed the data model for the feature-based digital map management system that is designed for feature-based seamless map, history management, real-time updating of spatial data, and analyzed the validity and utility of the proposed model.

• 한국지리정보학회지
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• 제21권4호
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• pp.132-144
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• 2018

건설, 의료, 컴퓨터 그래픽스, 도시공간 관리 등 다양한 분야에서 3차원 공간정보 모델이 이용되고 있다. 특히 측량 및 공간정보 분야에서는 최근 고품질의 3차원 공간정보와 실내공간정보에 대한 수요가 폭발적으로 증가하고 있으나, 현재 공간정보 데이터가 다양한 형식과 저장구조로 구성되어 관리되고 있어 저비용 고효율의 3차원 공간정보 서비스가 어려운 상황이다. 실제로 활용도 높은 3차원 모델을 구축하기 위한 기술은 관측과 처리에 고액의 비용이 발생하지만, 대부분의 수요처에서는 이러한 고비용의 공간정보 구축에 어려움을 느끼는 경우가 대부분이다. 따라서 본 연구에서는 저비용의 3D 공간정보 모델을 구축하기 위한 효율적인 방안을 제시하는 것을 목적으로 하였다. 현재의 3D 모델의 구축 방법 중 가장 효율적인 방법으로는 기존에 구축되어 있는 Point Cloud, UAV 관측영상 등의 원시데이터를 활용하여 비용을 절감시키는 방법이 있지만, 이는 관리하는 기관이 분리되어 있고 사용하기 위해 요청하는 절차가 복잡하여 활용에 제한이 있었다. 본 연구에서는 이를 해결하기 위해서 도로대장 관리 분야를 대상으로 3D 구축에 필요한 기반데이터를 통합하여 연계하고 관리 할 수 있는 통합관리 시스템 개발을 수행하였으며, 다양한 형태의 원시자료를 Point Cloud 형식으로 구성하여 도로대장 관리에 적용할 경우 6개의 주요 관리항목을 효과적 구축 및 관리할 수 있을 것으로 판단되었다.

• 한국인공지능학회지
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• 제10권1호
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• pp.27-32
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• 2022

As the need for eco-friendly transportation increases due to the deepening climate crisis, many local governments in Korea are introducing shared bicycles. Due to anxiety about public transportation after COVID-19, bicycles have firmly established themselves as the axis of daily transportation. The use of shared bicycles is spread, and the demand for bicycles is increasing by rental offices, but there are operational and management difficulties because the demand is managed under a limited budget. And unfortunately, user behavior results in a spatial imbalance of the bike inventory over time. So, in order to easily operate the maintenance of shared bicycles in Seoul, bicycles should be prepared in large quantities at a time of high demand and withdrawn at a low time. Therefore, in this study, by using machine learning, the linear regression algorithm and MS Azure ML are used to predict and analyze when demand is high. As a result of the analysis, the demand for bicycles in 2018 is on the rise compared to 2017, and the demand is lower in winter than in spring, summer, and fall. It can be judged that this linear regression-based prediction can reduce maintenance and management costs in a shared society and increase user convenience. In a further study, we will focus on shared bike routes by using GPS tracking systems. Through the data found, the route used by most people will be analyzed to derive the optimal route when installing a bicycle-only road.

• 한국농공학회논문집
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• 제46권2호
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• pp.29-37
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• 2004

An areal elderly migration model (AEMM) was developed to assess the demand of rural development projects targeted towards elderly people. The AEMM was developed with adaptation of the gravity model to represent spatial interaction regarding amenities. Areal characteristics were classified for estimating the amenities from the perspective of net migration. From 1990 to 2000, data were acquired from USCB, PASDA, PAHEALTH, PADCNR, PFBC, and NCDC in 67 Pennsylvania counties for analysis and application. The results revealed that elderly migration can be explained not only by areal characteristics but also by spatial interaction considering the population, distances, and amenities of surrounding areas.

• 한국공간구조학회논문집
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• 제23권2호
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• pp.45-52
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• 2023

Modular construction is an economical and efficient construction that reduces time and costs by manufacturing units in factories and constructing them on site. Currently, the demand for modular construction is increasing not only abroad but also domestically. As the demand for modular construction increases, a lot of development and research on connections between modular units are being conducted. Connections between modular units should be quick and simple to assemble when assembling units on site, and should be in a form that allows each unit to be connected regardless of direction. In addition, it must be able to exert sufficient strength against external loads. In this study, a connection between modular units using connecting steel plates and bolts was proposed, and the nonlinear behavior of the connection to external lateral force was analyzed through finite element analysis, and resistance performance was evaluated.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.266-268
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• 2003

This is based on the AGENT-LUC model framework. Luangprabang Province has the largest percentage of shifting cultivation area in Laos PDR. The model simulates the spatial and temporal patterns of the shifting cultivation in the study area, using a GIS database while the total area of shifting cultivation is controlled by supply and demand balance of food. The model simulation period is from 1990 to 1999, at a spatial resolution of 500m. The results are evaluated using statistical data and remote sensing images. Through the validation, it is concluded that the trends simulated agrees to that of statistical data and the spatial and temporal patterns are also replicated satisfactorily.