Cost Optimization Analysis of Low-carbon Landscape Construction Measures in Residential Properties
- DOI
- 10.2991/978-94-6463-778-6_25How to use a DOI?
- Keywords
- Residential Properties; Low-carbon Landscape; Cost; Optimization
- Abstract
This paper takes the landscape construction of residential properties as a specific starting point, comprehensively and systematically sorts out various measures for low-carbon landscape construction. On this basis, it deeply explores multiple forms and levels of the effective integration of the low-carbon concept into landscape construction. According to the construction situation of low-carbon landscapes in residential properties, combined with on-site investigations and data collection, it analyzes the impact of low-carbon landscape construction measures on costs, considers how to effectively control costs, and initially explores cost optimization measures throughout the entire process of low-carbon landscape construction. This helps to enhance the economic and environmental benefits of landscape projects and provides a new perspective for the sustainable development of low-carbon landscape construction.
- Copyright
- © 2025 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 - Jialing Yang AU - Yufan Zhang AU - Peng Liu PY - 2025 DA - 2025/07/03 TI - Cost Optimization Analysis of Low-carbon Landscape Construction Measures in Residential Properties BT - Proceedings of the 2025 Seminar on Modern Property Management Talent Training Enabling New Productive Forces (MPMTT 2025) PB - Atlantis Press SP - 200 EP - 208 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-778-6_25 DO - 10.2991/978-94-6463-778-6_25 ID - Yang2025 ER -