Aesthetic design guidelines of bridges were developed in many countries. As iconic structures, bridges need to be attractive and durable as they serve many generations. In this paper, a new design process of concrete structures considering 3D shapes and texture was proposed. The 3D design needs to consider function, economy, advanced technology, tradition and local culture. 3D printers enable the combination of artistic design and engineering design for concrete structures. Parametric modeling with iconic design was utilized to produce 3D formworks. As a pilot project, a railway bridge girder was designed and the proposed technologies were applied. Detail requirements to improve constructability and quality of concrete surfaces were derived. From the pilot applications, design guidelines were suggested.

This study aims at finding issues and ideas of waterfront planning through analysing planning concepts and characteristics of New York City Waterfront Comprehensive Plan(NYC WCP). The first NYC WCP in 1992 divided waterfront area as 4 functional areas which are natural, public, working and redeveloping waterfront. The characteristics of WCP in 1992 are zonning, height, setback, public access, visual corridor, floor area and so forth. After then NYC WCP revision in 2011 intergrated and developed the former plan through the eight visions which are expanding public access, enlivening the waterfront, improving water quality, restoring the natural waterfront, enhancing the Blue Network, improving government oversight and increasing climate resillience. In conclusion, NYC WCP successfully achieved both sufficient capacity of planning concepts and design guidelines for each region.

Although Industry Foundation Classes (IFC) provide standards for exchanging Building Information Modeling (BIM) data, authoring tools still require manual mapping between BIM entities and IFC classes. This leads to errors and omissions, which results in corrupted data exchanges that are unreliable and thus compromise the validity of IFC. This research explored precedent work by Krijnen and Tamke, who suggested ways to automate the mapping of IFC classes using a machine learning technique, namely anomaly detection. The technique incorporates geometric features of individual components to find outliers among entities in identical IFC classes. This research primarily focused on applying this approach on two architectural BIM models and determining its feasibility as well as limitations. Results indicated that the approach, while effective, misclassified outliers when an IFC class had several dissimilar entities. Another issue was the lack of entities for some specific IFC classes that prohibited the anomaly detection from comparing differences. Future research to improve these issues include the addition of geometric features, using novelty detection and the inclusion of a probabilistic graph model, to improve classification accuracy.

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.

While previous studies argue that BIM-based assembling collaboration promotes the communication and process management among participants in architectural design projects, it is still unknown which communication and socio-psychological factors are more and less activated in use of BIM-based collaboration. To investigate this research aim, in authentic BIM-used architectural retrofitting projects, the participants (N=36) collaborated and assessed the communication factors on (1) perceiving design results, (2)understanding partners'design intention, (3) proposing and converging opinions, the interpersonal design process management factors on (1) managing design process, (2) managing collaboration schedule, and the complementedness factors on (1) understanding partners' expertise, and comradeship. Statistical analyses reveal that the factor relevant to perceiving design results is better activated than the other factors (p<0.05), but all other factors are not much activated compared to perceiving design results. Deduced from the previous BIM studies and interviews, a reason roots in the shared forms and semantics of BIM. The shared semantics represent collaborators' information and allow the participants to perceive design changes explicitly. Meanwhile, BIM-based assembling collaboration is limited to represent observable, experience-able processes of design, and thus, several key socio-psychological factors, such as proposing and converging opinions and managing design process, are less activated.

Continuous research efforts have been made on acquiring location data on construction sites. As a result, GPS and RFID are increasingly employed on the site to track the location of equipment and materials. However, these systems are based on radio frequency technologies which require attaching tags on every target entity. Implementing the systems incurs time and costs for attaching/detaching/managing the tags or sensors. For this reason, efforts are currently being made to track construction entities using only cameras. Vision-based 3D tracking has been presented in a previous research work in which the location of construction manpower, vehicle, and materials were successfully tracked. However, the proposed system is still in its infancy and yet to be implemented on practical applications for two reasons. First, it does not involve entity matching across two views, and thus cannot be used for tracking multiple entities, simultaneously. Second, the use of a checker board in the camera calibration process entails a focus-related problem when the baseline is long and the target entities are located far from the cameras. This paper proposes a vision-based method to track multiple workers simultaneously. An entity matching procedure is added to acquire the matching pairs of the same entities across two views which is necessary for tracking multiple entities. Also, the proposed method simplified the calibration process by avoiding the use of a checkerboard, making it more adequate to the realistic deployment on construction sites.