Urban road DEM construction based on geometric and semantic characteristics

Yang, Cancan; Zhao, Mingsong; Wang, Chun; Deng, Kai; Jiang, Ling; Xu, Yongzhi

doi:10.1007/s12145-020-00510-4

Cited by 12 publications

(5 citation statements)

References 28 publications

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“…Viero et al pointed out that urban waterlogging was influenced by the natural environment, including precipitation and topography, so understanding urban topography is beneficial for monitoring urban waterlogging [7]. Yang et al planned the road construction in the Jianye District of Nanjing by using topographic information, which effectively expressed the spatial geometry and semantic features of urban roads [8]. The close relationship between topographic information and streets may be valuable in the planning of urban streets [9], because of the combination of natural factors and human activities resulting in flat topography interspersed with undulating topography [10].…”

Section: Introductionmentioning

confidence: 99%

Influence of Relief Degree of Land Surface on Street Network Complexity in China

Yang

Jiang

et al. 2021

IJGI

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The relief degree of land surface (RDLS) was often calculated to describe the topographic features of a region. It is a significant factor in designing urban street networks. However, existing studies do not clarify how RDLS affects the distribution of urban street networks. We used a Python package named OSMnx to extract the street networks of different cities in China. The street complexity metrics information (i.e., street grain, connectedness, circuity, and street network orientation entropy) were obtained and analyzed statistically. The results indicate that street network exhibits more complexity in regions with high RDLS. Further analysis of the correlation between RDLS and street network complexity metrics indicates that RDLS presents the highest correlation with street network circuity; that is, when RDLS is higher, the routes of an urban street network is more tortuous, and the additional travel costs for urban residents is higher. This study enriches and expands research on street networks in China, providing a reference value for urban street network planning.

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Section: Introductionmentioning

confidence: 99%

Influence of Relief Degree of Land Surface on Street Network Complexity in China

Yang

Jiang

et al. 2021

IJGI

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“…Then, this road DEM is analyzed for mountain shadow rendering to eliminate elevation outlier data. In the third step, the improved Douglas–Peucker (DP) algorithm with an elevation change rate 30 is applied to eliminate elevation outlier data that are inconsistent with road morphology. This step is repeated until no evident elevation outliers remain.…”

Section: Methodsmentioning

confidence: 99%

“…Large-scale digital line graphic (DLG) data, which are the basis for the construction of each city, exhibit the advantages of high accuracy, low cost, and large area. Compared with other types of data, DLG data can guarantee data accuracy based on cost conservation; they are among the better sources of urban DEM data at present 28 – 30 .…”

Section: Introductionmentioning

confidence: 99%

“…Xie 38 focused on the essence that roads serve people and presented a classification method for urban roads based on the principle of public transportation priority. However, all these urban road classification methods regard a road as a whole and use only a single mathematical surface for constructing DEMs 28 , 30 ; hence, consideration of road morphology characteristics is lacking. Real urban roads are difficult to be expressed using a single mathematical surface model.…”

Section: Introductionmentioning

confidence: 99%

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A fine construction method of urban road DEM considering road morphological characteristics

Tao

Liu

Wang

et al. 2022

Sci Rep

Self Cite

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Urban road DEM is not only an important basic geographic information data of the city, but also an important element to describe and express the urban topography, and it is an indispensable part of the construction of the smart digital city, urban planning and urban surface process simulation. Previous methods for constructing urban road DEMs do not sufficiently consider the actual morphological characteristics of urban roads, and morphological distortion is evident in the expression of urban roads, seriously affecting the application of urban rainfall flood simulation and urban pipe network design. In response to these problems, this study proposed a considering morphological characteristics fine (CMCF) method of urban road DEM construction, selected a typical urban road area in the Jianye District of Nanjing City in China as the study area, used the 1:500 digital line graphic as data source, hierarchized roads in accordance with different morphological characteristics from the perspective of DEM construction, constructed the corresponding DEMs, and finally merged all levels of road DEMs to produce a complete high-precision urban road DEM. Results showed that the DEM constructed using the CMCF method not only exhibited higher elevation accuracy than the urban road DEM constructed using previous methods, i.e., inverse distance weighting (IDW) and triangulated irregular network (TIN) methods, with a mean error and a root-mean-square error of 0.015 and 0.060, respectively, but it can also accurately express the spatial element composition form and road morphological characteristics of urban roads, avoiding the distorted expression of road morphological characteristics. This study can provide a reference for a new DEM construction method and data support for smart digital city construction and urban surface simulation.

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“…Furthermore, there are also much more underground buildings, such as overpasses, elevated roads, underpasses, etc. These need to be seamlessly connected with DEM data, especially for civil engineers [9][10][11][12][13] . Besides, urban DEM data needs to update much faster because of the rapid change in urban construction.…”

Section: Introductionmentioning

confidence: 99%

Urban Hybrid DEM Modeling Methodology Based on Multi-source Data

ZHANG,

He,

Luo

et al. 2023

Preprint

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Building a high-resolution Digital Elevation Model (DEM) in urban areas has been a challenging task so far because of the complicated and trivial topographic character caused by dense buildings, dense artificial vegetation, such as deep manual intervention. The paper presents a heterogeneous urban DEM and modeling method based on a large-scale digital topographic map, Digital Surface Model (DSM) generated by popular UAV photogrammetry or laser radar point cloud data. The method is first to extract elevation points, contour lines, road edges, steep slopes, building outlines, retaining walls, steps, and such topographic linear elements as possible from a large-scale topographic map; then to merge elevation information from DEM, DSM, point clouds data to generate a series of 3d-lines or polygons with elevation; even to struct some necessary 3D auxiliary lines according to geometric features to some abrupt terrain features; finally to create a Triangulated Irregular Network (TIN), which is able to accurately represents the terrain, using constrained TIN create function of ArcGIS. And evaluation precision was not uniform in the data bound because of multi-source data with different precision, so it was called Heterogeneous DEM(HDEM). The experiment showed that the HDEM has high consistency with the topographic map and is more suitable for flood analysis, urban fine management, real three-dimensional construction, etc.

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Urban road DEM construction based on geometric and semantic characteristics

Cited by 12 publications

References 28 publications

Influence of Relief Degree of Land Surface on Street Network Complexity in China

Influence of Relief Degree of Land Surface on Street Network Complexity in China

A fine construction method of urban road DEM considering road morphological characteristics

Urban Hybrid DEM Modeling Methodology Based on Multi-source Data

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