Research on Functional Restructuring of Waterfront Spaces Driven by the Low-Altitude Economy: A Case Study of the Nanjing “Jiangyida” Low-Altitude Flight Base
- DOI
- 10.2991/978-94-6239-689-0_2How to use a DOI?
- Keywords
- Low-altitude economy; Waterfront space; Spatial restructuring; Nanjing; Urban planning
- Abstract
With the low-altitude economy being elevated to a national strategic emerging industry development plan, the “two-dimensional plane” urban space will transform into a “three-dimensional space.” This article uses the Nanjing “Jiangyida” low-altitude flight base as a case study, demonstrating how low-altitude infrastructure promotes the functional upgrading of waterfront spaces. This demonstrates that the low-altitude economy can bring about three-dimensional development and functional enhancement of waterfront spaces. However, it also presents challenges such as technological and institutional friction and social acceptance. The proposed “double-helix reconstruction model of low-altitude waterfront spaces” reveals the coupling relationship between technological application and institutional adaptation, providing theoretical support and practical reference for the development of the low-altitude economy in waterfront cities.
- Copyright
- © 2026 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Zhengbo Huang PY - 2026 DA - 2026/05/28 TI - Research on Functional Restructuring of Waterfront Spaces Driven by the Low-Altitude Economy: A Case Study of the Nanjing “Jiangyida” Low-Altitude Flight Base BT - Proceedings of the 2026 2nd International Conference on Data Mining and Project Management (DMPM 2026) PB - Atlantis Press SP - 4 EP - 17 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6239-689-0_2 DO - 10.2991/978-94-6239-689-0_2 ID - Huang2026 ER -