3D-GIS Parametric Modelling for Virtual Urban Simulation Using CityEngine

Badwi, Ibrahim M.; Ellaithy, Hisham M.; Youssef, Hidi E.

doi:10.1080/19475683.2022.2037019

Cited by 36 publications

(14 citation statements)

References 22 publications

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“…Nevertheless, the chosen software CityEngine, usually applied for urban modelling (e.g. Badwi, Ellaithy, & Youssef, 2022), was flexible enough to allow the modelling of an environment out of its scope.…”

Section: Discussionmentioning

confidence: 99%

A digital botanical garden: using interactive 3D models for visitor experience enhancement and collection management

Redweik¹,

Reis

Duarte

2022

Virtual Archaeol. Rev.

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Highlights: A virtual 3D model of a botanical garden was built based on a GIS with plants botanical information and buildings, statues and other assets historical information. The height and crown diameter of individual trees were determined from watershed operations on aerial LiDAR data. Statues were modelled photogrammetrically. Buildings were modelled procedurally using CGA rules. Users found realism and information access to be the most positive points. The way of data organisation and the elaborated modelling rules make the product easily extendable for new data and objects. Abstract: Botanical gardens are important spots in urban spaces, both for researchers and for many different kinds of public. Conveying scientific information by means of an attractive digital product, on a pre- or post-visit experience, is a way of captivating the public, especially the younger generation, to the relevance of those gardens as repositories of knowledge and for conservation of plant species diversity. This approach also facilitates communication with the general public and access to historical data. On the other hand, bringing the garden to the desktop of researchers and managers can be an advantage, not only for an overview of the status quo but also in spatial planning matters. This paper describes the production of a 3D dynamic model of the Tropical Botanical Garden in Lisbon on top of a Geographic Information System (GIS). Its development included creating a spatial database to organise data originating from a variety of sources, the three-dimensional (3D) modelling of plants, buildings and statues, the creation of web pages with historic and contextual information, as well as the publication of a number of interactive 3D scenes. Several software packages were used, and the final outputs were published in ArcGIS Online to be explored by the public and researchers (link provided at the end of the text). The data are organised in a database, and most 3D modelling tasks are procedural through Computer Generated Architecture (CGA) rules. Thus, updating information or 3D models can be done without having to repeat all steps, an important feature for a dynamic botanical garden. Challenges and solutions are also addressed, providing a constructive contribution to the further implementation of similar experiences in other botanical gardens. According to a user survey carried out, the realism of the representation and the possibility of easily retrieving information from the objects are the most positive aspects of the project.

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Section: Discussionmentioning

confidence: 99%

A digital botanical garden: using interactive 3D models for visitor experience enhancement and collection management

Redweik¹,

Reis

Duarte

2022

Virtual Archaeol. Rev.

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“…Government precedents Frontiers in Built Environment frontiersin.org have featured heavily in the LCIM 3D GIS, including the Dutch Land Registry Office for 3D Netherlands, since 2014. There are also a wide variety of UI prototyping methods, and the LCIM explored procedural modeling, parametric design, and user interfaces (Badwi, et al, 2022). The contribution to knowledge of the LCIM was the use of process-based methods which were novel in combination, to create a framework and a demonstrator.…”

Section: Methodsmentioning

confidence: 99%

City Information Models (CIMs) as precursors for Urban Digital Twins (UDTs): A case study of Lancaster

Cureton

Hartley

2023

Front. Built Environ.

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City Information Models (CIMs) present several research challenges and are arguably pre-cursors for a roadmap to the transition to Urban or City Digital Twins (UDTs/CDTs) and broader smart city drives. In a period of digital transformation in urban planning, CIMs are primarily designed to intersect and merge urban GIS/BIM in what is termed GeoBIM. CIMs are often cloud-based geospatial services and data repositories with one-way data connections, which differ from integrated and high-fidelity cyber-physical complex systems for digital twins (DTs). However, there is a lack of precision in terms of defining CIMs and UDTs, and this paper examines four broad sociotechnical research challenges regarding the progress of CIMs toward full UDTs/CDTs, including (1) technical training for adoption, (2) acquisition strategies for aerial data and remote sensing, (3) data licensing types and system management, and (4) stakeholder engagement with CIM platforms. These four research challenges and digital transformation are discussed by using back-casting futuring methods, establishing a framework for CIMs through co-designed workshops, and explored in the Lancaster City Information Model (LCIM) prototype. The LCIM, as a resulting case study, was developed for architects, planners, and stakeholders to engage with 3D urban models and urban analytics (view sheds, masterplan scenarios, and solar potentials of buildings) from 2019 to 2021 to address digital inequality in planning and data fragmentation. The framework and prototype results resulted in the most extensive 3D open urban dataset published in the UK, consisting of a baseline of 1″+/− buildings and infrastructure and 7.5 cm aerial imagery and a framework for developing transitions from CIMs to UDTs. The delivery of this case and the resulting published dataset highlights the essential research needed regarding definitions and precision around terminology and systems between CIMs and UDTs and four applied challenges in digital transformation and future socio-technical relationships.

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“…At the same time, there is no lack of 3D City Modelling approaches conducted in different modelling environments, e.g., based on the combined use of Rhinoceros and Grasshopper (Costantino et al, 2022). Regardless of the operational solutions adopted, the 3D representation of the city allows urban planners to make qualitative and perceptual evaluations based on the analysis of the visual impact of squares and streets at a macro level, as well as to control the shape, height and colour of buildings, and thus the architectural quality of an urban area, at a micro level (Badwi et al, 2022). However, as one can easily imagine, modelling built urban tissue requires massive data collection as well as reliable and accurate information for visualising the state of the site (Campi et al, 2022).…”

Section: Principles and Issuesmentioning

confidence: 99%

Urban Design Strategies for the Upcycling of Urban Infrastructure Residual Pockets: 3d City Modelling From Open Data and Low-Cost Rapid Mapping Tools

Stendardo

Spera²,

Campi³

et al. 2022

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. This paper deals with the 3D City Modelling specific procedure developed as a tool to support strategies for urban regeneration, within the framework of the B-ROAD research project.The B-ROAD research project, whose acronym stands for Below the Road, is developing urban design strategies for upcycling urban infrastructure residual pockets.The B-ROAD’s methodology is conceived as research by design as it is carried out by creating pilot scenarios, disclosing the latent and still unexpressed potential of these wasted areas and displaying their potential transformations, to turn them into precious resources for the contemporary city.The 3D City Modelling of the study area has proved to be essential and strategic yet often complex and critical as most of the spatial and architectural features of B-ROAD spaces, as well as their potential, cannot be detected nor represented through the traditional means of representation of urbanised land, as aerial survey-based representations, or GIS. Likewise, traditional, or even cutting-edge, survey techniques that can be used to acquire missing data are often costly and time-consuming, thus making it hardly impossible to achieve the purpose of extensive and deep knowledge of such a vast area. Thus, 3D City Modelling aimed at examining spaces and providing a final representation of pilot scenarios has been a crucial stage requiring a specific in-depth study.

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3D-GIS Parametric Modelling for Virtual Urban Simulation Using CityEngine

Cited by 36 publications

References 22 publications

A digital botanical garden: using interactive 3D models for visitor experience enhancement and collection management

A digital botanical garden: using interactive 3D models for visitor experience enhancement and collection management

City Information Models (CIMs) as precursors for Urban Digital Twins (UDTs): A case study of Lancaster

Urban Design Strategies for the Upcycling of Urban Infrastructure Residual Pockets: 3d City Modelling From Open Data and Low-Cost Rapid Mapping Tools

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