| id |
ecaade2024_38 |
| authors |
Natapov, Asya; Li, Mingyang |
| year |
2024 |
| title |
MORPHOLOGIES OF VISUAL PERCEPTION AND URBAN ACTIVITIES: Simulation model of new points of interest |
| doi |
https://doi.org/10.52842/conf.ecaade.2024.2.069
|
| source |
Kontovourkis, O, Phocas, MC and Wurzer, G (eds.), Data-Driven Intelligence - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2024), Nicosia, 11-13 September 2024, Volume 2, pp. 69–78 |
| summary |
Urban planners and designers have long standing interest in quantifying urban dynamics and activity patterns effectively. However, many existing approaches focus solely on street networks, overlooking the functional aspects of the built form, while urban form significantly shapes the city landscape. Considering urban form and activities provides a more comprehensive view of the urban realm. This paper delves into the reasons behind the emergence of urban activity patterns and explain why cities exhibit specific morphologies in this regard. The paper introduces a novel model simulating the emergence of diverse points of interest i.e., urban uses and activities. It operates on the premise that pedestrian movement, on an aggregated scale, is influenced by urban form and its spatial elements, particularly visual attributes. It employs a network approach that combines traditional network analysis and multi-agent simulation. The developed model simulates the emergence of sightlines—imaginary lines between a hypothetical pedestrian's eyes and points of interest. These sightlines play a pivotal role in urban design, shaping pattens of activities in various urban configurations - squares, plazas, alleys, parks, and street layouts. The model is exercised on synthetic urban environments, resemble real modern cities. Simulation outcomes reveal distinct evolution pattens based on variety of sightline lengths. In settings with poor visibility conditions, new points of interest tend to cluster near existing ones. Conversely, where the city morphology supports better perception, points of interest drift toward main street intersections. Therefore, the method outlined in this paper, connects the built environment with urban usage, capturing urban dynamics through visually guided pedestrian behaviour. |
| keywords |
Networks, Visibility Graphs, Agent-based Modelling, Urban Activity Location |
| series |
eCAADe |
| email |
|
| full text |
 file.pdf (426,977 bytes) |
| references |
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| last changed |
2024/11/17 22:05 |
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