• Journal of KIBIM
• /
• v.7 no.1
• /
• pp.28-35
• /
• 2017

Cities have complex system composed diverse activities. The activities in cities have complex relationship that creates diverse urban phenomena. Big Data is emerging technology in order to understand such complex network. This research aims to understand such relations by analysing the diverse city indexes. 28 indexes were collected in 25 of districts in Seoul city and analysed to find a weighted correlation. By defining the correlation values of certain years, it tries to predict the missed index values, "happiness" of each districts in other years. The result presents that the overall prediction accuracy 70.25%. However, for further discussion, the result is considered that this methods may not enough to use in practice, since the data has inconstant accuracy by different learning years.

• Journal of KIBIM
• /
• v.9 no.1
• /
• pp.22-31
• /
• 2019

In this paper, we construct a prototype model for city data prediction by using time series data of floating population, and use machine learning to analyze urban data of complex structure. A correlation prediction model was constructed using three of the 10 data (total flow population, male flow population, and Monday flow population), and the result was compared with the actual data. The results of the accuracy were evaluated. The results of this study show that the predicted model of the floating population predicts the correlation between the predicted floating population and the current state of commerce. It is expected that it will help efficient and objective design in the planning stages of architecture, landscape, and urban areas such as tree environment design and layout of trails. Also, it is expected that the dynamic population prediction using multivariate time series data and collected location data will be able to perform integrated simulation with time series data of various fields.

• Journal of KIBIM
• /
• v.9 no.3
• /
• pp.54-60
• /
• 2019

After Landscape Act was enacted, as awareness of landscape has increased and the need of expanding targets of landscape design review and improving landscape examination in terms of quality, this study aims to describe a technique of creating three dimensional landscape simulation model which is used for landscape design review. For this, the author of this study conducted analysis in terms of function and use of programs and compatibility with programs to find a way of creating models with the most efficient and optimum process. For creation of landscape simulation models, initial creation is important but in case that changes occur by operator changing or discussing development plans, rapid correction and change are needed. Therefore, this study described how to build more accrurate and efficient simulation at initial review and how to create a landscape simulation model for rapid response to changed plans during reconsideration.

• Journal of KIBIM
• /
• v.8 no.4
• /
• pp.34-40
• /
• 2018

As the number of aged bridges increases, the development of efficient bridge maintenance techniques is becoming more important. Particularly, there have been many studies on digital-twin models of bridges for maintenance and SHM (Structure Health Monitering). However, in order to use the digital-twin model for maintenance of the bridge, the model updating process that matches the structural response between the real bridge and the digital-twin bridge model must be done. This study presents a model updating method that adjusts bridge's stiffness and boundary condition with genetic algorithm (GA) using static displacements and verified proposed updating method through field test on PSC girder bridge. This study also proposes a conceptual idea to construct an efficient bridge maintenance system by applying the updated numerical analysis model to the digital-twin model.

• Journal of KIBIM
• /
• v.11 no.1
• /
• pp.1-10
• /
• 2021

Blockchain is a secure technology that enables transactions between parties without risking data corruption. Besides cryptocurrencies, blockchain technology is being widely adopted in various forms by diverse industries. One promising application is construction contracts. Given that construction projects are executed under strict contractual requirements, blockchain technology-based contracts can ensure that contractual requirements are executed among parties to the contract. The objective of this study is to apply blockchain technology to smart construction contracts and determine their potential feasibility in construction management. In this study, a prototype smart construction contract is presented and its applicability is explored. We conclude that smart construction contracts can be effective as a contractual tool to enhance payment flows in the construction process.

• Journal of KIBIM
• /
• v.12 no.1
• /
• pp.35-41
• /
• 2022

This research aims to find the issues and explore policy agenda of contributed acceptance of urban renewal project. Through the analysis of urban renewal project in Seoul, three isssues was found as follows. Firstly, the ratio of contributed acceptance in each district was quite different. Secondly, the donated land was scattered around whole project area. Thirdly, infrastructures are not constructed until all renewal projects were implemented. For this issues, this research proposed that a proper standard of the ratio of contributed acceptance is needed and land donation should be designated to adjacent lot or block. Also public support should be for developing urban capacity and completing infrastructure.

• Journal of KIBIM
• /
• v.12 no.4
• /
• pp.32-40
• /
• 2022

The block-unit housing renewal project was presented as an alternative method to overcome the side effects of large-scale renewal projects while improving poor residential conditions. However, projects implementation is prolonged and even the pace of projects, which was considered an various incentives, is being delayed for the most part. In this study, delay factors are drawn by eight; conflict among association members, contract delay of joint implementation, participation paucity of constructor, inadequate project guidelines, alteration of project plan, lack of renewal project professionals, stricter loan restriction of HUG, lack of capacity of project operator. We categorized those eight factors to three aspects such as implementation, participants and proposition and suggested improvement alternatives according to three aspects.

• Journal of KIBIM
• /
• v.13 no.1
• /
• pp.33-40
• /
• 2023

In architectural design studios, students' needs are evaluated from a diverse and objective point of view. And the evaluation process and results are to use a design evaluation method that everyone can recognize. Therefore, in this study, we propose Crowdsourcing, in which a large number of participants participate in the evaluation to solve fundamental problems. However, the field of architecture is an area in which expertise such as evacuation, firefighting, rescue, and regulations is essential. Therefore, we expanded the concept by participation of a large number of architects, not the general public. And It presented a new word, Prowdsourcing. Prowdsourcing is a group of architects working on-line as an evaluator. It is a method that can have objectivity and expertise of evaluation at the same time. Therefore, prowdsourcing will provide students with a variety of objective assessments, which will be a recognized design evaluation method by everyone.

• Journal of KIBIM
• /
• v.13 no.1
• /
• pp.22-32
• /
• 2023

Due to the increased use of digital maps in the construction industry, there is a growing demand for high-quality digital map analysis. With the large amounts of data found in digital maps at earthwork sites, there is a particular need to enhance the accuracy and speed of digital map analysis. To address this issue, our study aims to develop new technology and verify its performance to address non-ground and range mismatch issues that commonly arise. Additionally, our study presents a new digital map analysis framework for earthwork sites that utilizes three newly developed technologies to improve the performance of digital map analysis. Through this, it achieved about 95% improvement in analysis performance compared to the existing framework. This study is expected to contribute to the improvement of the quality of digital map analysis data of earthworks.

• Journal of KIBIM
• /
• v.13 no.4
• /
• pp.106-114
• /
• 2023

In this study, we developed a method to quantify urban social costs using mobile sensing data, providing a novel approach to urban planning. By collecting and analyzing extensive mobile data over time, we transformed travel patterns into measurable social costs. Our findings highlight the effectiveness of big data in urban planning, revealing key correlations between transportation modes and their associated social costs. This research not only advances the use of mobile data in urban planning but also suggests new directions for future studies to enhance data collection and analysis methods.