• Journal of Korean Society of Rural Planning
• /
• v.21 no.2
• /
• pp.33-49
• /
• 2015

The objective of this study was to predict land use change based on the land use change scenarios for the Hwangguji river watershed, South Korea. The land use change scenario was derived from the representative concentration pathways (RCP) 4.5 and 8.5 scenarios. The CLUE (conversion of land use and its effects) model was used to simulate the land use change. The CLUE is the modeling framework to simulate land use change considering empirically quantified relations between land use types and socioeconomic and biophysical driving factors through dynamical modeling. The Hwangguji river watershed, South Korea was selected as study area. Future land use changes in 2040, 2070, and 2100 were analyzed relative to baseline (2010) under the RCP4.5 and 8.5 scenarios. Binary logistic regressions were carried out to identify the relation between land uses and its driving factors. CN (Curve number) and impervious area based on the RCP4.5 and 8.5 scenarios were calculated and analyzed using the results of future land use changes. The land use change simulation of the RCP4.5 scenario resulted that the area of urban was forecast to increase by 12% and the area of forest was estimated to decrease by 16% between 2010 and 2100. The land use change simulation of the RCP8.5 scenario resulted that the area of urban was forecast to increase by 16% and the area of forest was estimated to decrease by 18% between 2010 and 2100. The values of Kappa and multiple resolution procedure were calculated as 0.61 and 74.03%. CN (III) and impervious area were increased by 0-1 and 0-8% from 2010 to 2100, respectively. The study findings may provide a useful tool for estimating the future land use change, which is an important factor for the future extreme flood.

• Journal of the Korean Geographical Society
• /
• v.38 no.5
• /
• pp.725-740
• /
• 2003

The National Land Planning and Use Law Act at the beginning of 2002, introduced Land Suitability Assessment System(LSAS) in order to mitigate conflicts between development and conservation needs for land. LSAS is to assess land characteristics according to its physical, locational, and environmental characteristics, and then to classify it into several categories based on its usability. This study aims to review the factors to determine the suitability of the land and their weights. Land suitability is determined by a variety of factors, such as land-surface slope and altitude, the type of land use in neighboring areas, accessibility to public facilities and existing developed areas, and ecological characteristics of the land. This article analyzed these factors and their influences by using the Delphi survey and Analytic Hierarchical Process. One of the most influential factors on the development suitability of land is the distance to developed areas and public facilities. On the other hand, the slope and altitude of the land have comparatively low influences on the land development. The coverage of prime cultivating land of the neighbouring region and slope of the land are analyzed as important factors on the agricultural suitability of the land. The ecological features and the ratio of conservation area in the neighbourhood are counted as the most important factors in determining the land for conservation. This article tested these factors and their weights in assessing land suitability of land as a case study.

• Journal of Forest and Environmental Science
• /
• v.33 no.2
• /
• pp.130-135
• /
• 2017

In temperate monsoon regions, extensive shallow landslides triggered by heavy rainfall are recurrent phenomena in mountainous areas. 1,357 landslides over Jinbu area, Korea that totaled 127 km2 were identified from aerial photographs and field survey. We examined characteristics of rainfall-induced shallow landslides and casual factors affecting landslide distribution with respect to topographic and forest settings, and land use. Most landslides occurred in the study area were the results of a complex combination of precondition, preparatory factors and triggering factors. Cumulative rainfall and high intensity rainfall during short period of time made the study area very sensitive to landslides and played as catalysts to enable other factors including topographic and forest settings, and land use to act more effectively. In addition, some landslides at lower elevation involved channel incision or bank erosion influenced by land use changes such as deforestation and intensification of agriculture surrounding riparian forests or hillslopes. The results suggest that most of landslide were triggered by heavy rainstorms while topographic, forest settings, and land use affected landslide distribution occurred in the study area.

• Journal of The Korean Society of Agricultural Engineers
• /
• v.46 no.7
• /
• pp.23-32
• /
• 2004

A spatial simulation model for rural and urban sprawl phenomena was developed with GIS and cellular automata techniques. The model finds out built-up areas invading toward rural areas required for development of existing urban area. Probability of land use change for optimizing the development area was determined using a land suitability analysis method interfaced with GIS methods, based on several criteria in terms of geographic and accessibility factors such as slope of land and distance from city center. Weighting values of the criteria were quantified by an analytic hierarchy process method. For model applicability test, the parameters of criteria were calibrated based on the changes in time series land use data of the test city for 1986, 1996, and 2000, which were classified by remote sensing techniques. Simulated and observed areas in land use maps for city shape of 1996 showed good similarities with each other through a morphology verification method. The model enabled us to evaluate the spatial expansion phenomena of cities considering boundary conditions, and also to simulate land use planning for rural areas in urban fringe.

• Land and Housing Review
• /
• v.12 no.4
• /
• pp.1-13
• /
• 2021

This study investigates the effectiveness of Jeju's public Wi-Fi policy for which the key factors of public Wi-Fi use and location characteristics are analyzed. Spatial regression analysis was conducted within a 100 m radius of public Wi-Fi access points. In the analysis, the dependent variable was public Wi-Fi usage time while independent variables included demographic factors, location factors, and other factors. The findings reveal that demographic factors such as the number of residents, the number of workers, and the number of visitors had a close correlation with the use of public Wi-Fi. In addition, the number of bus stops and land prices of each parcel, land use mix, and AP installation period had a positive correlation with the use of public Wi-Fi. On the contrary, the number of buildings by use, the total floor area of buildings, and the number of tourist attractions had negative correlations with public Wi-Fi usage time. These findings provide policy implications that more active publicity on Jeju's public Wi-Fi is needed and the convenience for access needs to be improved.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.14 no.2
• /
• pp.39-53
• /
• 2015

The paper analyzes factors to affect pedestrian volumes by land-use type using 2012 Seoul Pedestrian Survey. First of all, five groups were classified based on land-use types around survey points such as residential, commercial, industrial and green uses, using k-average cluster analysis. Then, differences in average pedestrian volumes by group were compared for a day and time of day. In addition, multiple regression analysis was employed to identify factors to affect pedestrian volumes, considering physical features, land use types, public transportation accessibility, and socio-economic indices as independent variables by spatial hierarchy. Model results show that the walkway width positively influenced on pedestrian volumes for all groups, whereas other variables differently affected by group. Our results can be used as basic data for establishing polices with respect to pedestrian road design and improvement as well as estimating pedestrian demand by land-use type.

• Journal of the Korean Institute of Rural Architecture
• /
• v.15 no.2
• /
• pp.53-60
• /
• 2013

In recent years, several problems occur due to irrational development in rural areas. The first, disorderly development and Encroachment of farmland, Small factory built in rural areas leads to a lack of infrastructure. it is the damage factors of good scenery in the rural areas. Water pollution and environmental pollution from the accommodations and restaurants in the good scenery area is serious. To solve this problems, we should establish the systematic land use plan and landscape plan, and integrated spatial and business plan in rural areas. In order to increase the effectiveness of land use planning in rural projects, We should establish the land use plan in rural areas of the city, state, and national levels of regional plan. We need to prescribe in "National Land Use Planning Law" the facilities, can install it according to the characteristics of rural land programming. we can prescribe the detail regulations by "Rural Maintenance Law". In order to solve the problems the lack of professionalism of the current agricultural policies of the Review Committee, We need to consider a new "rural planning committee" consisting.

• Journal of the Korean association of regional geographers
• /
• v.16 no.1
• /
• pp.59-75
• /
• 2010

This study analyzed on the recognition characteristics of high school students in Seoul about the factors influencing the land value. The results are as follows; First, when the factors influencing the land value was divided into 'the factors related with the publicly assessed land value' and 'the unrelated factors.' Students recognized that the former had more influence on the land value than the latter. Second, students recognized that 'the relative factors of land' had more influence on the land value than 'the absolute factors of land'. Third, as a result of checking how much five evaluation criterions influence on the recognition characteristics about the factors influencing the land value, the distance to major facilities had the most influence on the recognition, while the situation of land use had the weakest one. Among 13 factors, the distance from the convenience facilities was most influential and the shape of the land was least influential. Fourth, there was a gap between recognition of choosing the highest land value areas and the lowest land value areas and recognition of degree that the factor influencing the land value had an effect on the land value. Lastly, when the result of recognition about factors influencing the land value and the land value ranking was compared with the result of the co-relation between the land value and factors influencing the land value of the real region, either similar or different results were shown.

• Journal of Korean Society on Water Environment
• /
• v.30 no.4
• /
• pp.418-428
• /
• 2014

The purpose of this study is to predict the spatio-temporal changes in land uses and to evaluate land-based pollutant loads in the future under Total Water Pollution Load Management System using CLUE-S model. For these ends, sensitive parameters of conversion elasticities in CLUE-S model were calibrated and these calibrated parameters of conversion elasticities, level II land cover map of year 2009, and 7 driving factors of land use changes were used in predicting future land uses in 2002 with two scenarios(Scenario 1: non area restriction, Scenario 2: area restriction). This projected land use map of 2020 was used to estimate land-based pollutant loads. It was expected that urban areas will increase in 2020 from both scenarios 1 and 2. In Scenario 1, urban areas are expected to increase within greenbelt areas and deforest would be expected. Under Scenario 2, these phenomena were not expected. Also the results of estimation of BOD and TP pollutant loads, the BOD difference between scenarios 1 and 2 was 719 kg/day in urban areas and TP difference was 17.60 kg/day in urban areas. As shown in this study, it was found that the CLUE-S model can be useful in future pollutant load estimations because of its capability of projecting future land uses considering various socio-economic driving factors and area-restriction factors, compared with conventionally used land use prediction model.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.21 no.3
• /
• pp.138-148
• /
• 2018

Land use regulations introduced for rationalization of land use due to the diversification of socio-economic development, resulting in inconvenience to the people's economic life, have recently changed the paradigm due to deregulation. In this study, the potential areas for urban growth in the Busan area were derived by simulating using the CA model and spatial characteristics were analyzed along with land use regulated areas. The analysis examined whether the land use regulations were actually intended to curb urban growth and promote the efficiency of land use, or if there were other factors that could cause inconvenience to the people's lives. The analysis showed that the greenbelt zones in areas with high development pressure outside urban areas were acting as land use regulations, but there were multiple regulations on land use in many areas. Therefore, it is deemed that various approaches and reviews will be needed, including reconsideration of multiple regulations in areas with high urban growth potential, while maintaining the net function of land use regulations.