Search results

This paper aims to create a new searchable 3D city model to help managers improve their decision-making.

This paper identifies data management basics and the key elements used in the new model design; it further analyzes five-city models, presents its findings and proposes analytical trends for the new model. It discusses the concepts underlying existing models, explains the benefit brought by the proposed model and demonstrates its robustness.

City systems can be interconnected, thanks to data digitization and the integration of new technologies into different management processes. Although there are several 3D city models available, none of those identified in this research can be queried for several sectors.

This model design can only be successfully realized in the presence of a public mandate. Potential limitations include information security risks and political non-acceptance.

The present work proposes a searchable and high performance model having the distinctive capacity to bring together city systems and perform real-time data analysis in order to extract important information needed to guide the city, and in the context of a global vision.

This paper critically analysed 195 articles with the objectives of providing a clear understanding of the current City Information Modelling (CIM) implementations, identifying the main challenges hampering the uptake of CIM and providing recommendations for the future development of CIM.

This paper adopts the PRISMA method in order to perform the systematic literature review.

The results identified nine domains of CIM implementation including (1) natural disaster management, (2) urban building energy modelling, (3) urban facility management, (4) urban infrastructure management, (5) land administration systems, (6) improvement of urban microclimates, (7) development of digital twin and smart cities, (8) improvement of social engagement and (9) urban landscaping design. Further, eight challenges were identified that hinder the widespread employment of CIM including (1) reluctance towards CIM application, (2) data quality, (3) computing resources and storage inefficiency, (4) data integration between BIM and GIS and interoperability, (5) establishing a standardised workflow for CIM implementation, (6) synergy between all parties involved, (7) cybersecurity and intellectual property and (8) data management.

This is the first paper of its kind that provides a holistic understanding of the current implementation of CIM. The outcomes will benefit multiple target groups. First, urban planners and designers will be supplied with a status-quo understanding of CIM implementations. Second, this research introduces possibilities of CIM deployment for the governance of cities; hence the outcomes can be useful for policymakers. Lastly, the scientific community can use the findings of this study as a reference point to gain a comprehensive understanding of the field and contribute to the future development of CIM.

In an era overshadowed by the alarming consequences of climate change and the escalating peril of recurring floods for communities worldwide, the significance of proficient disaster risk management has reached unprecedented levels. The successful implementation of disaster risk management necessitates the ability to make informed decisions. To this end, the utilization of three-dimensional (3D) visualization and Web-based rendering offers decision-makers the opportunity to engage with interactive data representations. This study aims to focus on Thiruvananthapuram, India, where the analysis of flooding caused by the Karamana River aims to furnish valuable insights for facilitating well-informed decision-making in the realm of disaster management.

This work introduces a systematic procedure for evaluating the influence of flooding on 3D building models through the utilization of Web-based visualization and rendering techniques. To ensure precision, aerial light detection and ranging (LiDAR) data is used to generate accurate 3D building models in CityGML format, adhering to the standards set by the Open Geospatial Consortium. By using one-meter digital elevation models derived from LiDAR data, flood simulations are conducted to analyze flow patterns at different discharge levels. The integration of 3D building maps with geographic information system (GIS)-based vector maps and a flood risk map enables the assessment of the extent of inundation. To facilitate visualization and querying tasks, a Web-based graphical user interface (GUI) is developed.

The efficiency of comprehensive 3D building maps in evaluating flood consequences in Thiruvananthapuram has been established by the research. By merging with GIS-based vector maps and a flood risk map, it becomes possible to scrutinize the extent of inundation and the affected structures. Furthermore, the Web-based GUI facilitates interactive data exploration, visualization and querying, thereby assisting in decision-making.

The study introduces an innovative approach that merges LiDAR data, 3D building mapping, flood simulation and Web-based visualization, which can be advantageous for decision-makers in disaster risk management and may have practical use in various regions and urban areas.

How do we make sense of urban life in the past? What do we do when we study urban history, and to what extent do our methods fully capture the complexities of historical city living? These are crucial questions for any scholar interested in the historical dimensions of urban experience. Notwithstanding the interest of most urban historians in the relationship between the physical form of urban space and its experience by inhabitants and visitors, very few scholars have written histories that systematically integrate these two areas of inquiry. In this chapter, we argue that such research requires a method and an accompanying tool that can analyze historical urban life in a more integrated, holistic way. We propose a way forward by introducing the Time Machine platform as a scalable data visualization and analysis tool for researching everyday urban experience across space and time. To illustrate the potential we focus on a case study: the area of the Bloemstraat in early modern Amsterdam. Unpacking a section of the Bloemstraat, house by house and room by room, we show how the Time Machine forms an instrument to connect spatial layouts to the arrangement of objects and to the practical and social use of the space by the inhabitants and visitors. We also sketch how this tool illuminates more dynamic spatial and temporal practices such as how people, goods, and activities are connected to locations in the wider city and beyond.

This paper aims to enrich the 3D urban models with data contributed by citizens to support data-driven decision-making in urban infrastructure projects. We introduced a new application domain extension to CityGML (social – input ADE) to enable citizens to store, classify and exchange comments generated by citizens regarding infrastructure elements. The main goal of social – input ADE is to add citizens’ feedback as semantic objects to the CityGML model.

Firstly, we identified the key functionalities of the suggested ADE and how to integrate them with existing 3D urban models. Next, we developed a high-level conceptual design outlining the main components and interactions within the social-input ADE. Then we proposed a package diagram for the social – input ADE to illustrate the organization of model elements and their dependencies. We also provide a detailed discussion of the functionality of different modules in the social-input ADE.

As a result of this research, it has seen that informative streams of information are generated via mining the stored data. The proposed ADE links the information of the built environment to the knowledge of end-users and enables an endless number of socially driven innovative solutions.

This work aims to provide a digital platform for aggregating, organizing and filtering the distributed end-users’ inputs and integrating them within the city’s digital twins to enhance city models. To create a data standard for integrating attributes of city physical elements and end-users’ social information and inputs in the same digital ecosystem, the open data model CityGML has been used.

The purpose of this paper is to integrate conflict theory's class and race perspectives to explain police force size in large cities in the USA.

Data on US cities with populations of 250,000 or greater (n=64) are used to test whether class and/or racial factors impact police force size. The data are analyzed using OLS regression.

This study finds that class and race factors combine to impact police force size concurrently. By adjusting the model specifications of a recent article, which concludes police force size in large US cities is determined by racial factors and not class, this study shows that two class‐related factors – racial economic inequality and poverty – significantly influence police force size. Additionally, this analysis calls into question the importance of racial factors; specifically, the threat caused by minority presence and a city's history of racially coded violence.

Few conflict theorists have attempted to integrate class and race in order to explain police force size. The results of this study show that racial economic inequality interacts with poverty (class threat) and that they jointly affect police force size. This adds further nuance to the argument of the complex causal interaction of intersectionality and supports theoretical, methodological, and public policy shifts that blend class inequality and racial threat to explain police force size.

Representative cultural heritage sites and monuments around the world have been lost or damaged by natural disasters, human conflicts and daily erosion and deterioration. Documentation and digital preservation by using three-dimensional (3D) modeling techniques enables to ensure the knowledge and access for future generations. Efficient working methods and techniques should be proposed for this purpose.

In this paper, a methodology for the generation of 3D photorealistic models of representative historical buildings is introduced, for using data are obtained using terrestrial laser scanning systems and photogrammetry.

In this paper, an approach to reconstruct 3D photorealistic models by using laser scanning and photogrammetric data is shown. Combination of data from both sources offers an improved solution for 3D reconstruction of historical buildings, sites and places. Integration of 3D models into virtual globes and/or software applications can ensure digital preservation and knowledge for next generations.

Results obtained in a concrete building are shown. However, each building or studied area can show some other different drawbacks.

The study enables to generate 3D and four-dimensional models of most valuable buildings and contribute to the preservation and documentation of the cultural heritage.

The study enables digital documentation and preservation of cultural heritage.

A proper solution at field (in a real and complicated case) is explained, in addition to the results, which are shown.

The transformation of cities from the industrial age (unsustainable) to the knowledge age (sustainable) is essentially a “whole life cycle” process consisting of planning, development, operation, reuse and renewal. During this transformation, a multi‐disciplinary knowledge base, created from studies and research about the built environment aspects is fundamental: historical, architectural, archeologically, environmental, social, economic, etc., and critical. Although there are a growing number of applications of 3D VR modelling applications, some built environment applications such as disaster management, environmental simulations, computer‐aided architectural design and planning require more sophisticated models beyond 3D graphical visualization such as multifunctional, interoperable, intelligent, and multi‐representational. Advanced digital mapping technologies such as 3D laser scanner technologies can be enablers for effective e‐planning, consultation and communication of users' views during the planning, design, construction and lifecycle process of the built environment. These technologies can be used to drive the productivity gains by promoting a free‐flow of information between departments, divisions, offices, and sites; and between themselves, their contractors and partners when the data captured via those technologies are processed and modelled into building information modelling (BIM). The use of these technologies is a key enabler to the creation of new approaches to the “Whole Life Cycle” process within the built and human environment for the twenty‐first century. This paper aims to look at this subject.

The paper describes the research towards BIM for existing structures via the point cloud data captured by the 3D laser scanner technology. A case study building is used to demonstrate how to produce 3D CAD models and BIM models of existing structures based on designated techniques.

The paper finds that BIM can be achieved for existing structures by modelling the data captured with 3D laser scanner from the existing world. This can be accomplished by adapting appropriate automated data processing and pattern recognition techniques through applied science research.

BMI will enable automated and fast data capture and modelling for not only in design and planning, building refurbishment, effective heritage documentation and VR modelling but also disaster management, environmental analysis, assessment and monitoring, GIS implementation, sophisticated simulation environments for different purposes such as climate change, regeneration simulation for complexity and uncertainty and so on. As a result, it will increase the capability for fast production of virtual reality models and comprehensive and sophisticated simulation platforms.

The paper provides useful information on BMI for existing structures.

Building information modeling (BIM) is a striking development in the architecture, engineering and construction (AEC) industry, which provides in-depth information on different stages of the building lifecycle. Real estate valuation, as a fully interconnected field with the AEC industry, can benefit from 3D technical achievements in BIM technologies. Some studies have attempted to use BIM for real estate valuation procedures. However, there is still a limited understanding of appropriate mechanisms to utilize BIM for valuation purposes and the consequent impact that BIM can have on decreasing the existing uncertainties in the valuation methods. Therefore, the paper aims to analyze the literature on BIM for real estate valuation practices.

This paper presents a systematic review to analyze existing utilizations of BIM for real estate valuation practices, discovers the challenges, limitations and gaps of the current applications and presents potential domains for future investigations. Research was conducted on the Web of Science, Scopus and Google Scholar databases to find relevant references that could contribute to the study. A total of 52 publications including journal papers, conference papers and proceedings, book chapters and PhD and master's theses were identified and thoroughly reviewed. There was no limitation on the starting date of research, but the end date was May 2022.

Four domains of application have been identified: (1) developing machine learning-based valuation models using the variables that could directly be captured through BIM and industry foundation classes (IFC) data instances of building objects and their attributes; (2) evaluating the capacity of 3D factors extractable from BIM and 3D GIS in increasing the accuracy of existing valuation models; (3) employing BIM for accurate estimation of components of cost approach-based valuation practices; and (4) extraction of useful visual features for real estate valuation from BIM representations instead of 2D images through deep learning and computer vision.

This paper contributes to research efforts on utilization of 3D modeling in real estate valuation practices. In this regard, this paper presents a broad overview of the current applications of BIM for valuation procedures and provides potential ways forward for future investigations.

Urban renewal is a multifaceted activity that involves numerous actors, software, and types of data. Design communication tools play an important role in this process. Visual information helps to outline, understand, and choose sustainable solutions for problems in the design, while visual tools should be able to diminish professional differences and establish a common language. Recent 3D geo-technologies offer a great variety of new tools that significantly enrich visualisation possibilities and allow for flexible switching between different 3D representations. However, studies have indicated that particular representations create different perceptions in professional compared to non-professional individuals. This paper discusses the specifics of urban renewal processes in the Netherlands and investigates recently developed 3D geo-information technology, and more specifically multiple 3D representations, that can support this task. The concept of LOD, which uses five levels of information, was evaluated as a very promising approach to agree on abstractions and representations in the different renewal phases. The study did not reveal a lack of digital possibilities for visualisation, but instead showed that the simultaneous visualisation of the proposed alternatives should be a priority. This investigation did reveal that different levels of interactivity could be used for the presentation and communication of project alternatives.