Generating citywide street cross-sections using aerial LiDAR and detailed street plan
Bibliographic Data
| ID | 21230786 |
|---|---|
| Authors | Deepank Verma (0000-0001-6300-2861, Technische Universität Braunschweig, corresponding author), Olaf Mumm (0000-0001-6628-7874, Technische Universität Braunschweig), Vanessa Miriam Carlow (0000-0003-0513-9717, Technische Universität Braunschweig) |
| Year | 2023 |
| Volume | 96 |
| Pages | 104673 |
| Publication date | 2023-09-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Sustainable Cities and Society (JOURNAL) |
| Journal identifiers | ISSN: 2210-6707 • E-ISSN: 2210-6715 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.scs.2023.104673 |
| OpenAlex | W4378469782 |
| Language | EN |
| Citations received | 3 |
| References cited | 31 |
Precise information on spatial configurations of urban spaces, such as streets, is essential for investigating complex interrelationships between the quality of life, livability, and mobility. Street cross-sections can be central for such research as they depict the allocation of urban space by detailing the streetscape's layout and dimensions, including driveways, sidewalks, bikepaths, median strips, trees, adjoining buildings and open spaces, and shadows. However, creating an accurate description of the real world as a three-dimensional representation and translation into cross-sections is challenging due to the requirement of multiple data sources, such as road layouts with widths, height information, and, optionally, high-resolution aerial imagery. Without such datasets, the cross-section drawings are limited to manual measurements, which are difficult to extend to a city scale. This study aims to develop a method to automatically generate street cross-sections for the entire city of Berlin based on an aerial Lidar dataset and a city street plan. The study also includes shadows as a part of the sections and utilizes the Lidar dataset to generate solar radiation maps. Approximately 0.5 million cross-sections are generated with detailed information regarding the width and placement of the street elements. The details of the cross-sections are further processed to find generic street compositions, understand the influence of shadows on walkways and bikepaths, and calculate the enclosure
3D city models · Aerial imagery · Archaeology · Civil engineering · Enclosure · Facade · Geography · Lidar · Remote sensing · Street network · Telecommunications · Visualization · Computer Science · Engineering · Land Use and Ecosystem Services · Remote Sensing and LiDAR Applications · Urban Green Space and Health · Artificial Intelligence
Measuring Urban Streetscapes for Livability
Measuring visual enclosure for street walkability
The Urban Liveability Index
Urban and rural mortality rates during heat waves in Berlin and Brandenburg, Germany
Look Closely and You Will See, Listen Carefully and You Will Hear
Maximizing the pedestrian radiative cooling benefit per street tree
Variations in pedestrian mean radiant temperature based on the spacing and size of street trees
Centrality and network flow
Moving through a dappled world
| Unique citing works | 3 |
|---|---|
| Citations per year | 1,5 |
| Citation span | 2024 - 2025 (2) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 2 |