• Journal of the Economic Geographical Society of Korea
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• v.27 no.2
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• pp.95-119
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• 2024

While several recent studies have investigated the spatial distribution of entrepreneurship within the Seoul metropolitan area, they have not thoroughly examined the relationship between the industrial composition and spatial distribution of entrepreneurial clusters. To address this gap, this study initially identified entrepreneurial clusters through hotspot analysis using Getis-Ord Gi* with venture capital investment data from 2021. Subsequently, to analyze the industrial composition of the identified clusters, we measured not only their industrial diversity and specialization, but also the share of software and non-software industries. Additionally, we examined the government policies related to the formation of the clusters. As a result, we identified fourteen prominent entrepreneurial clusters within the Seoul metro area and revealed that the clusters located closer to the city centers exhibited higher levels of industrial diversity and a greater share of software industries. Conversely, clusters situated farther from the city centers demonstrated a higher share of non-software industries. Furthermore, we found that government policies affect the industrial specialization of suburban clusters. Nevertheless, we observed several exceptions that diverged from the general trends due to policy interventions. These findings underscore that formulating policies for entrepreneurial clusters in metropolitan areas should be based on these insights.

• Journal of the Korean Regional Science Association
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• v.38 no.1
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• pp.45-56
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• 2022

The purpose of this study is to examine the differences among the income level groups of young single-person households and newlywed households in factors affecting the choice of residential location in the Seoul metropolitan region. To summarize the results of the analysis, first, there were differences in the factors affecting the choice of residential location by income level in both single-person young households and newlyweds. Second, among young households, the low-income group showed a behavior of choosing a residential location based on bounded rationality considering the economic condition of the household. Third, even though the income level is similar, the difference in the factors for choosing a residential location between single-person young households and newlywed households was confirmed, which is results of the life-cycle changes. These results imply that it is necessary to prepare appropriate housing policies that can supplement the economic conditions of young households living in the Seoul metropolitan region, and to review customized housing policies that reflect changes in life-cycle stages as well as age or income level.

• Journal of the Economic Geographical Society of Korea
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• v.20 no.2
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• pp.158-172
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• 2017

This study analyzes the time-space variability for the weekly passenger flow of the Seoul Subway system based on the dynamic visualization methods. For the purpose, we utilize one-week T-card transaction databases. By applying data mining algorithms, we extract passenger data for edge flows, on/off passengers at each subway station per minute interval time. It is practically intractable to analyze such spatio-temporal passenger flows by general statistical techniques. We employ dynamic visualization methods to analyze intuitively and to grasp effectively characteristics of the diurnal passenger flows on the Seoul Metropolitan Subway system during one week. As the result, we found that substantial differences exist on the spatio-temporal distribution patterns among days as well as between weekdays and weekend. We also investigates the time-space variability among eight major centers, and we found wide differences in their spatio-temporal distribution patterns.

• Journal of the Economic Geographical Society of Korea
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• v.15 no.1
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• pp.26-41
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• 2012

This study investigates the time-space characteristics of intra-urban passenger flows in the Metropolitan Seoul area. In particular, we analyze the relationships between transit ridership and land use through the use of the subway passenger flow data obtained from the transit transaction databases. For this purpose, the strength of each subway station, i.e., the number of total in-coming and out-going passengers at each station, in the morning, afternoon, and evening, is calculated and visualized, which reflects urban land use patterns. Then the subway stations are classified into four groups via a hierarchical analysis of the in-coming and out-going passenger flows at 353 stations. Each group appears to have characteristic properties according to the region, e.g., residential areas and central business districts. This has been confirmed by the analysis which probes explicitly the relationship between the local socio-economic variables and station groups. This analysis, disclosing the inter-relationship between the subway network and urban land use, may be useful at various stages in urban as well as transportation planning, and provides analytical tools for a wide spectrum of applications ranging from impact evaluation to decision-making and planning support.

• Journal of Korean Society of Transportation
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• v.24 no.7 s.93
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• pp.15-25
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• 2006

This study was to investigate the impact of region-wide travel pattern on local fiscal capacity in the Seoul metropolitan area. The study adopted both factor analysis and regression modeling for it, while using fiscal-and travel-related variables as well as urban characteristics determining travel patterns. We used the former method to compress independent variables of travel and urban characteristics because of strong correlationship between them. Four factors identified by the analysis output were adopted in regression models with some dependent variables representing local fiscal capacity. Their results resulting from both analyses showed that local fiscal inequality within the metropolitan area is driven by region-wide travel Patterns such as total trips. inner trip ratio, and the ratio of trips from and to the Seoul city.

• Land and Housing Review
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• v.10 no.2
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• pp.29-43
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• 2019

Colombia experiences a population growth in their metropolitan areas through an accelerated urbanization process, a housing deficit and a shortage of urban developable land. To solve these problems, the central government developed a national policy for a large-scale housing city development including supra-municipalities planning instruments such as Macroprojects. However, the amount of housing land supplied by this policy is insufficient and additional policies for shortage housing and qualitative deficit are required, particularly in regions with a high concentration of population. The purpose of the study is to compare urban development systems of Colombia and Korea and explore the possibility of applying guidelines to Colombia through i) comparing the capital region cities of the two countries with an asymmetry context method, ii) comparing both urban planning system founding similarities and differences, and iii) suggesting new urban development challenges in the Bogotá metropolitan area based on Korea's new town experience.

• Journal of Korean Society of Transportation
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• v.15 no.3
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• pp.39-49
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• 1997

본 연구는 서울대도시권을 대상으로 토지이용패턴과 통행수단선택간의 관계를 경헙적으로 분석하여 수도권 토지이용 및 교통정책에 시사점을 제시하는 것을 목적으로 하고 있다. 다중 로짓모형을 이용한 분석에서 직장 및 주거빌도가 높을수록 전철과 버스 등 대중교퉁수단에 대한 의존도를 보이는 것으로 나타났다. 또한 직장중심지의 경우 버스보다는 자가용이용율이 높은 것으로 나타나 고밀도 정책이 반드시 대중교통수단으로의 이동을 의미하는 것은 아니라는 사실을 경험적으로 입증하고 있다.

• Journal of the Korean association of regional geographers
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• v.16 no.2
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• pp.123-136
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• 2010

To grasp the migration characteristics in the Busan Metropolitan Area (BMA), this study analyzed household characteristics and migration selectivity. The major findings of the study are as follows: first, young (especially 25 to 34 years of age) and single person households have greater propensity to migrate out from BMA, and their home ownership rate is low. These trends are much stronger in households that migrate out towards the Seoul Metropolitan Area from Busan. Second, age and educational selectivity of migration is evident. The characteristics of movers are quite different from those of stayers at Busan. Young people are more likely to migrate out of Busan, and higher levels of education are deeply associated with higher mobility. Through analyzing four high schools in Busan, it is acknowledged that most honor students entered 4-year universities in Seoul. The outflow of highly educated young people may induce the brain drain. Busan is undergoing both population decline and the problems caused by the brain drain.

• Journal of the Economic Geographical Society of Korea
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• v.21 no.4
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• pp.335-349
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• 2018

This study analyzes the effect of the changes in traffic environments such as transportation speeds on the time-distance accessibility for the public transportation passengers. To do this, we use passenger transaction databases of the Seoul metropolitan public transportation system: one week for each of the three years (2011, 2013, and 2015). These big data contain the information about time and space on the traffic trajectories of every passenger. In this study, the time-distances of links between subway stations and bus stops of the public transportation system at each time are calculated based on the actual travel time extracted from the traffic-card transaction database. The changes in the time-distance accessibility of the integrated transportation network from the experimental results can be summarized in two aspects. First, the accessibility tends to decline as the year goes by. This is because the transportation network becomes more complicated and then the average moving speed of the vehicles is lowered. Second, the accessibility tends to increase on the weekend in the analysis of accessibility changes by day. This tendency is because the bus speeds on bus routes on the weekend are faster than other days. In order to analyze the accessibility changes, we illustrate graphs of the vehicle speeds and the numbers of passengers by year and day.

• Spatial Information Research
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• v.2 no.1
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• pp.3-14
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• 1994

The external diseconomy has been accelerated by the megaspatial structure of metropolis such as Seoul Capital Region(below SCR), Korea in which the more than 10 million populations inhabit. The main course for It could be elaborated by the overconcentration of the urban and regional function of various kinds. The study is performed to analyze quantitatively the status quo of the region as described above and proceed into forecasting the future population trend, the land use at location for the increment of regional population and to set the location of new towns in Seoul Capital Region System projected by the methods in computer algorithm of descriptive models such as the simple and multiple regress ion analysis models, the gravity model and the facility location on a plane model analysis. The goal and object ive of the metropolitan planning are to decentralize the regional growth management to the optimum degree, which will not hinder the economic growth of the region, but the result of the study is that we can not discourage the functional concentration of Seoul Capital Region and, we have to provide the region with the appropriate new towns.