3D building metrics for urban morphology

Labetski, Anna; Vitalis, Stelios; Biljecki, Filip; Ohori, Ken Arroyo; Stoter, J.E.

doi:10.1080/13658816.2022.2103818

Cited by 29 publications

(14 citation statements)

References 73 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For example, Peters et al (2022) propose a methodology that enables the reconstruction of the 3D models formatted in CityJSON and they create the CityJSON files for 10 million buildings in the Netherlands using the proposed methodology. Labetski et al (2023) provide an approach that measures the morphology of the urban areas in 3D and create the open dataset containing CityJSON files that encompass 3D metrics that are calculated by using the provided approach. Biljecki (2020) analyses the current status regarding the generation of 3D building models by using the OpenStreetMap data in Southeast Asia.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Labetski et al. (2023) provide an approach that measures the morphology of the urban areas in 3D and create the open dataset containing CityJSON files that encompass 3D metrics that are calculated by using the provided approach. Biljecki (2020) analyses the current status regarding the generation of 3D building models by using the OpenStreetMap data in Southeast Asia.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Implementation of 3D spatial planning through the integration of the standards

Guler

2023

Transactions in GIS

View full text Add to dashboard Cite

To plan future land use, zoning plans (i.e., spatial plans) are prepared to get the most out of land for both the public and the government. These plans manifest which facilities can be built and where they can be built on land based on defined requirements such as building height and road length. The Land Administration Domain Model (LADM) is well‐known and widely used standard for describing Rights, Restrictions, and Responsibilities (RRRs) with respect to land and buildings. The next version of the standard will contain the Spatial Plan Information (SPI) part to enable better land‐use planning. Three‐dimensional (3D) land‐use planning has gained attention to delineate detailed requirements inclusively and allow different spatial analysis that provides a basis for decisions in the planning. Data standards pertaining to 3D geoinformation are vital to put into practice 3D spatial planning. To this extent, CityJSON is proposed for the effortless and efficient use of 3D city models. This article thus first aims to extend the CityJSON schema based on the proposed SPI part of the LADM such that it allows modeling, storing, visualizing, and utilizing the features and attributes required for the implementation of 3D spatial planning. Then, the usability of the proposed extension schema is demonstrated by the real‐world use cases that benefit from the exemplary CityJSON files that are created based on approved zoning plans in the country. The results of this study show that there is an important opportunity coming from the integration of international standards that enables semantic information along with their spatial counterparts within 3D spatial planning.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Implementation of 3D spatial planning through the integration of the standards

Guler

2023

Transactions in GIS

View full text Add to dashboard Cite

show abstract

“…SAR data has been also used to derive building properties using side-looking, interferometric or tomographic sensors (Esch et al, 2020;Sun, Hua, Mou, & Zhu, 2019;Sun et al, 2022). Furthermore, LiDAR have been widely applied, due to its accuracy and resolution, to model individual 3D building properties gaining in detail with higher point densities (Priestnall, Jaafar, & Duncan, 2000;Labetski, Vitalis, Biljecki, Arroyo Ohori, & Stoter, 2022;Peters, Dukai, Vitalis, van Liempt, & Stoter, 2022) and characterize urban form (Bonczak & Kontokosta, 2019;Zhao et al, 2019). A current trend in the extraction of 3D urban form consists on combining remote sensing datasets with ancillary data to improve feature extraction (Esch et al, 2020;Li et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

“…Physical urban form is not the only aspect of urban morphology, which has a complex conception that varies between authors including distinct aspects such as physical form, land use and activities or function, between others (Kropf, 2017). Physical built form, hereinafter referred as urban form, can be expressed using different indicators (Moudon, 1997;Peters et al, 2022), and with different levels of detail (Chen et al, 2020;Labetski et al, 2022). In this manuscript, we analyse the changes in urban form based on two main simple indicators (i.e.…”

Section: Introductionmentioning

confidence: 99%

Long-term changes in 3D urban form in four Spanish cities

Domingo

Vliet²,

Hersperger³

2023

Landscape and Urban Planning

View full text Add to dashboard Cite

“…Building height estimation and 3D urban buildings construction at a local scale (i.e., the city scale) or on a large scale (i.e., the national scale and continental scale) are trending topics currently, which have obtained fruitful achievements and further provide solid basic data for the following 3D urban morphology and structure research (Dehbi et al., 2017; Frantz et al., 2021; He et al., 2023; Huang et al., 2022; Ochmann et al., 2019; Park & Guldmann, 2019). On the basis of building footprint and height, a number of studies have looked into 3D urban morphology analysis by building metrics (Labetski et al., 2023). Average height indicator, the mean value of all buildings in a spatial statistical unit, and other 3D building metrics have been widely utilized to describe the 3D urban morphological characteristic and further to explore its influence to the urban environment including urban heat island and PM 2.5 , among others (Cai et al., 2022; Wu, Yu, et al., 2022; Zhang et al., 2023).…”

Section: Introductionmentioning

confidence: 99%

A new hierarchical analysis framework of building heights: Towards a more intuitive understanding of 3D urban structure

Yang,

Zhou,

Yang

et al. 2023

Transactions in GIS

View full text Add to dashboard Cite

Understanding the 3D spatial structure of a city is increasingly essential for addressing various environmental and management issues, surpassing the importance of traditional 2D analysis. However, existing studies neglect the diversity of building height and still lack a clear description of 3D urban structure. This article proposes a new framework to uncover the 3D urban structure. Firstly, kernel density is employed to reveal the hierarchical spatial structure of buildings and the contour tree method is improved to quantitatively measure the spatial diversity and complexity. Then, the 3D urban structure is abstracted by spatial interpolation after feature filtration. Finally, this framework is applied to the central area of Chengdu City, revealing that: (1) Spatial structures of buildings with different heights exhibit significant diversity, location preference, and complexity; and (2) A globally “depression” 3D urban structure with low center—high periphery is obviously identified. This framework provides an effective way to reveal the 3D urban structure in a more intuitive and clearer way from various disordered urban buildings, which can be transferable to other cities and further facilitate sustainable planning and development of cities.

show abstract

3D building metrics for urban morphology

Cited by 29 publications

References 73 publications

Implementation of 3D spatial planning through the integration of the standards

Implementation of 3D spatial planning through the integration of the standards

Long-term changes in 3D urban form in four Spanish cities

A new hierarchical analysis framework of building heights: Towards a more intuitive understanding of 3D urban structure

Contact Info

Product

Resources

About