• Journal of KIBIM
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• v.5 no.3
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• pp.1-10
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• 2015

We have researched a character of BIM(Building Information Modeling) and GIS(Geographic Information System) data for integrated utilization of urban spatial data and building data for $CO_2$ reduction. We consider literature on integrated utilization of BIM and GIS and measure method of $CO_2$ in urban spatial unit. Among them without distortion of standard data structure, derive method how to install between BIM and GIS standard data. Rhino & Grasshopper is utilization tools of DB platform. The compatibility with existing BIM and GIS data format, graphic and numeric results can be output at the same time. And using the existing ARCHSIM, it can be easily combined for building energy analysis program. Based on BIM and GIS data to run an energy analysis target on Majang-dong, it could be poly synthetically derived the value information and graphic information.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.34 no.6
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• pp.579-589
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• 2016

This research focuses on accomplishing analysis problems and issues by examining the policies and systems related to geo-spatial big data which have recently arisen, and suggests political and systemic improvement plan for service activation. To do this, problems and probable issues concerning geo-spatial big data service activation should be analyzed through the examination of precedent studies, policies and planning, pilot projects, the current legislative situation regarding geo-spatial big data, both domestic and abroad. Therefore, eight political and systematical improvement plan proposals are suggested for geo-spatial big data service activation: legislative-related issues regarding geo-spatial big data, establishing an exclusive organization in charge of geospatial big data, setting up systems for cooperative governance, establishing subsequent systems, preparing non-identifying standards for personal information, providing measures for activating civil information, data standardization on geo-spatial big data analysis, developing analysis techniques for geo-spatial big data, etc. Consistent governmental problem-solving approaches should be required to make these suggestions effectively proceed.

• Journal of Korea Spatial Information System Society
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• v.11 no.4
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• pp.19-27
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• 2009

Integrated Urban Spatial Information Management Platform (USIMP) is defined as an operational environment where technologies for intelligent management of urban facilities are made possible through the integration of diverse technologies such as sensors for ground and underground facilities, middleware technology, wired and wireless network, GIS-USN linkage. To make the integration of these diverse technology possible, it is imperative to have a sound reference model for the platform. This paper provides a standardized reference model for USIMP based on the RM-OPD(Reference Model for Open Distributed Processing) standard.

• Korean Journal of Remote Sensing
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• v.21 no.5
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• pp.383-392
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• 2005

Vegetation classes, especially grass and tree classes, are often confused in classification when conventional spectral pattern recognition techniques are used to classify urban areas. This paper reports on a study to improve the classification results by using an automated process of considering height information in separating urban vegetation classes, specifically tree and grass, using three-band, high-spatial resolution, digital aerial imagery. Height information was derived photogrammetrically from stereo pair imagery using cross correlation image matching to estimate differential parallax for vegetation pixels. A threshold value of differential parallax was used to assess whether the original class was correct. The average increase in overall accuracy for three test stereo pairs was $7.8\%$, and detailed examination showed that pixels reclassified as grass improved the overall accuracy more than pixels reclassified as tree. Visual examination and statistical accuracy assessment of four test areas showed improvement in vegetation classification with the increase in accuracy ranging from $3.7\%\;to\;18.1\%$. Vegetation classification can, in fact, be improved by adding height information to the classification procedure.

• Korean Journal of Remote Sensing
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• v.37 no.4
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• pp.665-685
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• 2021

This study focused on the a 20-year evaluation of the dynamism of critical thermal anomalies in Busan metropolitan area prompted by unusual infrastructural development and demographic growth rate. Archived Landsat thermal data derived-LST was the major input for UTFVI and hot spot analysis (Getis-Ord Gi^*). Results revealed that the surface urban heat island-affected area has gradually expanded overtime from 23.32% to 32.36%; while the critical positive thermal anomalies (level-3 hotspots) have also spatially increased from 19.88% in 2000 to 23.56% in 2020, recording a net LST difference of > 5℃ between the maximum level-3 hotspot and minimum level-3 coldspot each year. It is been observed that thermal conditions of Busan have gradually deteriorated with time, which is potentially inherent in the rate of urban expansion. Thus, this work serves as an eye-opener to powers that be, to think and act constructively towards a sustainable thermal conform for city dwellers.

• The Journal of Industrial Distribution & Business
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• v.13 no.2
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• pp.1-15
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• 2022

Purpose: This study established the state of the utilisation of information and communication technologies (ICTs) in Zimbabwean urban district councils to manage municipal knowledge. The way municipal knowledge and service delivery information are managed influences the usefulness and accessibility of the information to the various stakeholders. The effective management of this information thus determines the quality of decisions made by Zimbabwean urban councils. Research design, data and methodology: The study adopted a single case study design, employing a purely qualitative research approach. The purposive sampling technique was used to select key informants who participated in the study. Collected data were analysed using thematic content analysis. Results: The findings revealed that the Masvingo City Council was not fully utilising ICTs to manage service delivery knowledge. It has been at a minimum level in cases where they have been used. Conclusions: This research contributes to the Zimbabwean local government body of knowledge, providing the evidence needed to form a basis for future research, focusing on knowledge management and information technology utilisation in municipal organisations. The researchers recommended that Masvingo City Council direct more resources towards improving the existing ICT infrastructure and employee training programmes to improve the management of the organisation's knowledge.

• Journal of Korean Library and Information Science Society
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• v.37 no.4
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• pp.443-462
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• 2006

This study intends to portray the everyday lives of the urban poor in Busan metro area, especially in terms of the information perspective. Employing basic qualitative data collection tools such as interviews and participant observation, the study attempts to illustrate such phenomena as information needs and behaviors, and to scrutinize the reasons of particular behaviors in information seeking and gathering. This paper, specifically, focuses on the following characteristics of information need and information-related behavior of the urban poor; types of everyday concerns and ways to cope with such concerns; types of the help providers; characteristics of information channels of everyday information seeking and information gathering. The role that interpersonal sources play in their everyday lives, has been emphasized in reality of their information environment along with information needs and information related behaviors including information gathering and information seeking.

• Spatial Information Research
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• v.18 no.3
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• pp.33-40
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• 2010

Many cities have provided growth management measure for preventing urban sprawl and disordered development by rapid urbanization. Many Korean cities also, have been pressed by development issues as well as the Seoul Metropolitan Area. This study aims to predict urban growth and develop Urban Growth Management Model with Geographic Information System and quantitative method. Especially, this study provides reasonable management method by presenting prediction scenario considered institutional-oriented and demand-oriented. This study also, provides a scientific basis using GIS and quantitative analysis, and present decision making of planning and implementation process through simulation.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.33 no.3
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• pp.173-179
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• 2015

In this paper, object-based classification of urban areas based on a combination of information from lidar and aerial images is introduced. High resolution images are frequently used in automatic classification, making use of the spectral characteristics of the features under study. However, in urban areas, pixel-based classification can be difficult since building colors differ and the shadows of buildings can obscure building segmentation. Therefore, if the boundaries of buildings can be extracted from lidar, this information could improve the accuracy of urban area classifications. In the data processing stage, lidar data and the aerial image are co-registered into the same coordinate system, and a local maxima filter is used for the building segmentation of lidar data, which are then converted into an image containing only building information. Then, multiresolution segmentation is achieved using a scale parameter, and a color and shape factor; a compactness factor and a layer weight are implemented for the classification using a class hierarchy. Results indicate that lidar can provide useful additional data when combined with high resolution images in the object-oriented hierarchical classification of urban areas.

• International Journal of High-Rise Buildings
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• v.10 no.3
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• pp.203-210
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• 2021

With the development of urbanization, the increasing of buildings density in urban core areas result in the complexity of construction environment. High-rise landmark building is always preferred in the construction of urban core areas. Super high-rise buildings construction are facing construction management difficulties due to the complex working conditions and enormous building system, especially with the complex surrounding environment of the urban core area, the construction management of super high-rise buildings in the area requires higher, refined and detailed standard. Based on a super high-rise project in a core area of Shanghai which has 370 m building height and 772,643 m² building area, with complex surrounding environment, narrow construction site and many super-high-altitude crossing works. With the application of BIM technology, the Internet of Things, the LAN communication and other various intelligent mechanical equipment, information management systems, the efficiency and refinement of construction management are improved, ensuring the smooth implementation of the project while effectively controlling the impact on the surrounding environment.