| id |
caadria2024_498 |
| authors |
Deng, Yingxin and Li, Yang |
| year |
2024 |
| title |
Assessing Path Choosing in Mountainous Cities via Pedestrian Network Data and Subway Station Observations: A Case Study of Jiefangbei, Chongqing |
| source |
Nicole Gardner, Christiane M. Herr, Likai Wang, Hirano Toshiki, Sumbul Ahmad Khan (eds.), ACCELERATED DESIGN - Proceedings of the 29th CAADRIA Conference, Singapore, 20-26 April 2024, Volume 2, pp. 355–364 |
| doi |
https://doi.org/10.52842/conf.caadria.2024.2.355
|
| summary |
In high-density mountainous cities, pedestrian system becomes more challenging due to terrain constraints, which amplifies the difficulty associated with walking. Consequently, many individuals opt "subway + walking" as their primary mode of travel, which is deemed more efficient. This research focuses on a case study in the Jiefangbei area of Chongqing, known for its intricate terrain and dense urban fabric, and assesses people's walking selection around subway stations within 10-minute walking isochrone. It employs space syntax with weighted topographical street network to establish an evaluation system. The evaluation system comprises three primary indicators: road accessibility, walking attractiveness and walking efficiency. It encompasses both the physical and perceptual factors influencing people's walking preferences in the walking system. This research utilizes python to crawl POI points, Arcgis and sDNA to process and visualize data and JS divergence for final similarity analysis. By conducting an in-depth assessment of the walking system around subway stations in mountainous urban areas, this paper attempts to provide strategies aimed at enhancing the walkability in mountainous cities. |
| keywords |
Walkability, Path choosing, Spatial Design Network Analysis, Pedestrian network, Mountainous city, Weighted Network Analysis |
| series |
CAADRIA |
| email |
|
| full text |
 file.pdf (5,223,611 bytes) |
| references |
Content-type: text/plain
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| last changed |
2024/11/17 22:05 |
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