• Journal of the Korean association of regional geographers
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• v.20 no.4
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• pp.473-483
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• 2014

The geographical knowledge is composed of academic geographical knowledge, school geographical knowledge, applied geographical knowledge and popular geographical knowledge according to the diverse social need and demand. And the geographical knowledge has developed through the knowledge circulation system, which is connected to knowledge production, delivery, application and to reproduction among these knowledge fields. The discontinuity of knowledge circulation can lead to crisis of geographical whole. Therefore, for sustainable development of geography, it is necessary to firmly build a virtuous circulation system of geographical knowledge which is linked to a knowledge production and accumulation by an academic geography, knowledge delivery by a school geography, knowledge social application by an applied geography, knowledge application in everyday life by a popular geography and knowledge reproduction by an academic geography.

• Proceedings of the KGS Conference
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• 2004.11a
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• pp.22-22
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• 2004

• Journal of the Korean Association of Geographic Information Studies
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• v.11 no.2
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• pp.1-12
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• 2008

This paper identifies public transit-poors and derives spatial characteristics of the poors' distribution in an urban area by utilizing buffering analysis of geographic information systems and remote sensing techniques in the case of Daegu metropolitan city. Since special attention is given to elderlies, this study assigns three hundred meter buffer from bus/subway station as service boundary for elderlies. The results of this study tell us that 1) the transit-poors are concentrated on suburban and rural regions, 2) high proportions of the transit poors are elderlies with spatial variations in many regions, 3) the main housing type of the transit-poors is single detached house. We expect that this study can contribute to build an effective policy-making by showing essential technical processes and methods in identifying policy-need groups and their characteristics of spatial distribution.

• Journal of the Korean Association of Geographic Information Studies
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• v.16 no.1
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• pp.67-79
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• 2013

For the sake of the Transit-Oriented Development that has been prominent recently, an analysis of the spatial structures of transit centers, above all, should be carried out at a local level. This study, thus, analyzes the spatial structures of subway influence areas by applying a Geographically Weighted Regression (GWR) model to individual parcels. As a result of the validity analysis of the model, it has turned out that the subway influence areas have different characteristics respectively, and there is spatial heterogeneity even in the same single area. Also, the result of the comparison among models has proved that the GWR model is more adequate than the Ordinary Least Square (OLS) model and $R^2$ has been also increased in the GWR model. Then, the results have been mapped by means of the GIS, which have made it possible to understand the spatial structures at a local level. If the Transit-Oriented Development is fulfilled in consideration of the spatial structural characteristics of the subway influence areas drawn respectively from the model analysis, it will be helpful in adopting effective policies.

• Journal of the Korean Association of Geographic Information Studies
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• v.15 no.1
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• pp.76-86
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• 2012

The purpose of this study is to investigate the environmental equity of the accessibility to public transportation services in the city of Daegu. The 2005 census data as well as bus stop and subway station datasets were integrated for building the GIS database. Public transportation service areas were then identified by a coverage method. Mann Whitney U test was used for statistically comparing the socioeconomic characteristics over different levels of access to the public transportation services. Both Dong-gu, Suseong-gu, Dalseo-gu, and Buk-gu located outside of the city had worse accessibility than others while Jung-gu, Seo-gu, and Nam-gu had better accessibility than others. There appeared no environmental inequity pattern in terms of the percentages of men, women, and teenagers over the city of Daegu whereas there existed some environmental inequity pattern in terms of the percentages of people above the age of 65 and people below poverty line. This environmental inequity pattern would be caused by some factors. Firstly, the lower income class has tended to reside in the declined or blighted areas far away from public transportation facilities since this class can not afford to pay expensive rents and land prices around the main roads with higher accessibility. Many old people belonging to the lower income class also reside in the declined or blighted areas. Secondly, there has been no law to locate bus stops and subway stations considering residents' socioeconomic characteristics and the spatial distribution of public transportation facilities has been not managed systematically by the city government. This research would shed insight on building the public transportation policy to locate bus stops and subway stations and to select the routes of buses and subways considering the spatial distribution of residents' socioeconomic characteristics.

• Proceedings of the Korean Information Science Society Conference
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• 1999.10a
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• pp.105-107
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• 1999

최근 자동차 수의 급속한 증가와 대중 교통의 발달로 인하여 ITS(Intelligent Transportation System)과 같은 지리/교통 안내 시스템의 연구 개발이 활발히 이루어지고 있다. 이러한 시스템의 중요한 기능 중의 하나로 대중 교통의 관리와 안내 서비스가 있다. 특히 우리나라의 경우 아직 많은 사람들이 대중 교통을 이용하고 있고, 대중 교통이 대도시 교통체증의 중요 해결책으로 인식되므로 이러한 기능이 더욱 필요하다. 본 논문에서는 인터넷을 통하여 접근할 수 있는 버스 노선 안내 서비스 시스템을 개발한 경험을 소개한다. 버스 노선 안내 서비스 시스템은 사용자가 접근하기 용이해야 하며 실용적인 서비스 결과를 제공할 수 있어야 한다. 또한 추후 개발되는 여러 ITS 구성 요소들과 유기적으로 결합할 수 있는 상호 운용성이 필요하다. 본 논문에서는 분산 객체 미들웨어의 표준인 CORBA를 이용하여 인터넷을 통한 접근이 용이하고 상호 운용성이 뛰어난 시스템 구조를 제안하였다. 이 시스템의 구조와 스키마는 추후 다른 대중 교통 안내 서비스 시스템과의 연계 혹은 다른 ITS 구성 요소와의 연계에 쉽게 대응할 수 있을 것으로 기대된다.

• Journal of the Korean Association of Geographic Information Studies
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• v.26 no.3
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• pp.1-11
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• 2023

COVID-19 has caused the dramatic reduction of public transportation demand in Busan Metropolitan City, that is, daily public transportation trips in 2020 dropped by approximately 920,000 trips from 2019 based on the public transportation card data. This study investigated the underlying factors affecting the public transportation demand discrepancy between before and after COVID-19 at the primary administration unit(i.e., Eup, Myeon, Dong) level with Ordered Logistic Regression model. Finding of this study is as follows. The primary administration units characterized with high ratio of welfare recipients, industrial area, and day boarders were heavily dependent on public transit, indicating little change in public transportation demand. On the other hands, the primary administration units which have high ratio of urban rail transit uses experienced significant reduction of public transportation demand. In conclusion, transportation policies taken under emergent situation such as COVID-19 need to take into account the region-based characteristics rather than unilateral ones.

• Journal of the Korean Association of Geographic Information Studies
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• v.21 no.2
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• pp.80-93
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• 2018

Public transit services are generally analyzed based on the correlation of demand and supply. The computation of supply uses accessibility while demand uses travel demands estimation based on residential population. However, the traditional demand estimation has a limitation in analysing in micro-scale compared to the smartcard data traffic. This study analyzed potential improvement of public transit services using smartcard traffic data. The supply of transportation was defined using time distance accessibility. Also, time loss was calculated in those origin destination(OD) pairs where time distance accessibilities are relatively low. The proposed method was applied at Seoul. The results showed that the areas where OD pairs need improvement include Seodaemun-gu, Guro-gu and Nowon-gu.

• Journal of the Korean Association of Geographic Information Studies
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• v.22 no.1
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• pp.28-38
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• 2019

The smart card data stores the transit usage records of individual passengers. By using this, it is possible to analyze the traffic demand by station and time. However, since the purpose of the trip is not recorded in the smart card data, the demand for each purpose such as commuting, school, and leisure is estimated based on the survey data. Since survey data includes only some samples, it is difficult to predict public transport demand for each purpose close to the complete enumeration survey. In this study, we estimates the purposes of trip for individual passengers using the smart card data corresponding to the complete enumeration survey of public transportation. We estimated trip purposes such as commute, school(university) considering frequency of O-D, duration, and departure time of a passenger. Based on this, the passengers are classified as workers and university students. In order to verify our methodology, we compared the estimation results of our study with the patterns of the survey data.

• Proceedings of the KGS Conference
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• 2004.05a
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• pp.77-77
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• 2004

본 연구는 "왜 성형외과가 강남구에 밀집분포하고 있는가？" 라는 문제의식에서 출발하여, 강남구 성형외과의 의료공급자의 입지요인과 의료소비자의 방문요인에 대하여 알아보고 양측의 상호연관성에 대해 고찰해 보고자 하였다. 연구방법으로는 문헌연구, 통계자료 분석, 강남구 성형외과 개원의와 내원객에 대한 설문조사와 심층 인터뷰, 대중매체의 기사 검색 등을 통해 이루어졌다. (중략)루어졌다. (중략)