3D City Models and urban information: Current issues and perspectives

Billen, Roland; Cutting-Decelle, Anne-Françoise; Marina, Ognen; Almeida, J; Caglioni, Matteo; Falquet, Gilles; Leduc, Thomas; Métral, Claudine; Moreau, Guillaume; Perret, Julien; Giovanni, Rabino; José, Roberto San; Yatskiv, I; Zlatanova, S.

doi:10.1051/tu0801/201400001

Cited by 45 publications

(27 citation statements)

References 57 publications

(62 reference statements)

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“…Ross [41] lists several applications and provides a general taxonomy of 3D use cases: (1) applications that are based only on geometry (e.g., estimation of the shadow); (2) analyses based on geometry and semantic information (e.g., estimation of the solar potential); and (3) analyses based on domain specific extensions and external data (e.g., noise emission calculation). While this approach provides a straightforward classification, the categories are not mutually exclusive in all cases, i.e., we have encountered applications that would fit into more than one category.…”

Section: Related Workmentioning

confidence: 99%

“…For instance, the aforementioned Dutch 3D pilot [44], but also the German initiative InGeoForum [62] and the European COST Action TU0801 [1,63], a research project that focused on different aspects of 3D city models. We have also examined the CityGML standard [64,65] since it contains some information about the intended uses of the data model.…”

Section: Principal Sources Of Our Surveymentioning

confidence: 99%

“…A 3D city model is a representation of an urban environment with a three-dimensional geometry of common urban objects and structures, with buildings as the most prominent feature [1][2][3][4]. A typical 3D city model is derived from various acquisition techniques, for instance, photogrammetry and laser scanning [5][6][7][8], extrusion from 2D footprints [9,10], synthetic aperture radar [11][12][13][14][15], architectural models and drawings [16][17][18], handheld devices [19,20], procedural modelling [21][22][23][24][25][26], and volunteered geoinformation [27][28][29].…”

Section: Introductionmentioning

confidence: 99%

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Applications of 3D City Models: State of the Art Review

Biljecki

Stoter

Ledoux

et al. 2015

IJGI

572

360

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In the last decades, 3D city models appear to have been predominantly used for visualisation; however, today they are being increasingly employed in a number of domains and for a large range of tasks beyond visualisation. In this paper, we seek to understand and document the state of the art regarding the utilisation of 3D city models across multiple domains based on a comprehensive literature study including hundreds of research papers, technical reports and online resources. A challenge in a study such as ours is that the ways in which 3D city models are used cannot be readily listed due to fuzziness, terminological ambiguity, unclear added-value of 3D geoinformation in some instances, and absence of technical information. To address this challenge, we delineate a hierarchical terminology (spatial operations, use cases, applications), and develop a theoretical reasoning to segment and categorise the diverse uses of 3D city models. Following this framework, we provide a list of identified use cases of 3D city models (with a description of each), and their applications. Our study demonstrates that 3D city models are employed in at least 29 use cases that are a part of more than 100 applications. The classified inventory could be useful for scientists as well as stakeholders in the geospatial industry, such as companies and national mapping agencies, as it may serve as a reference document to better position their operations, design product portfolios, and to better understand the market.

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Section: Related Workmentioning

confidence: 99%

Section: Principal Sources Of Our Surveymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Applications of 3D City Models: State of the Art Review

Biljecki

Stoter

Ledoux

et al. 2015

IJGI

572

360

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“…Typically, 3D city models were generated by combining data collected at different times from varying sources and LoDs (Döllner et al 2006). The challenges posed by such approaches are now being resolved with the advent of CityGML in 2008 (Gröger and Plümer 2012) and other concerted research efforts Billen et al (2014). Shiode (2000) suggested that 3D modelling methods reflect two different groups of approach.…”

Section: The State Of Bim and Cim Integrationmentioning

confidence: 99%

A state-of-the-art review of built environment information modelling (BeIM)

Tah

Oti

Abanda

2017

Organization, Technology and Management in Construction: An International Journal

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Elements that constitute the built environment are vast and so are the independent systems developed to model its various aspects. Many of these systems have been developed under various assumptions and approaches to execute functions that are distinct, complementary or sometimes similar. Furthermore, these systems are ever increasing in number and often assume similar nomenclatures and acronyms, thereby exacerbating the challenges of understanding their peculiar functions, definitions and differences. The current societal demand to improve sustainability performance through collaboration as well as whole-system and through-life thinking is driving the need to integrate independent systems associated with different aspects and scales of the built environment to deliver smart solutions and services that improve the well-being of citizens. The contemporary object-oriented digitization of real-world elements appears to provide a leeway for amalgamating the modelling systems of various domains in the built environment which we termed as built environment information modelling (BeIM). These domains include architecture, engineering, construction as well as urban planning and design. Applications such as building information modelling, geographic information systems and 3D city modelling systems are now being integrated for city modelling purposes. The various works directed at integrating these systems are examined, revealing that current research efforts on integration fall into three categories: (1) data/file conversion systems, (2) semantic mapping systems and (3) the hybrid of both. The review outcome suggests that good knowledge of these domains and how their respective systems operate is vital to pursuing holistic systems integration in the built environment.

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“…A digital three-dimensional (3D) city model describes the geometry and structure of an urban environment [1]. The definition of what constitutes a 3D city model still remains ambiguous and unclear [2] as the term has been applied in literature to a wide spectrum of different cases, ranging from 3D reconstruction [3] to semantic models [4].…”

Section: Introductionmentioning

confidence: 99%

Characterizing 3D City Modeling Projects: Towards a Harmonized Interoperable System

Julin

Jaalama

Virtanen

et al. 2018

IJGI

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3D city models have become common geospatial data assets for cities that can be utilized in numerous fields, in tasks related to planning, visualization, and decision-making among others. We present a study of 3D city modeling focusing on the six largest cities in Finland. The study portrays a contradiction between the realized 3D city modeling projects and the expectations towards them: models do not appear to reach the broad applicability envisioned. In order to deal with contradiction and to support the development of future 3D city models, characteristics of different operational cultures in 3D city modeling are presented, and a concept for harmonizing the 3D city modeling is suggested.

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3D City Models and urban information: Current issues and perspectives

Cited by 45 publications

References 57 publications

Applications of 3D City Models: State of the Art Review

Applications of 3D City Models: State of the Art Review

A state-of-the-art review of built environment information modelling (BeIM)

Characterizing 3D City Modeling Projects: Towards a Harmonized Interoperable System

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