Unraveling equilibrium effect between traffic supply and land use in transit-oriented development
Year: 2025
Type: article
Abstract: The Node-Place model is a classic tool in Transit-Oriented Development (TOD) typologies that it illustrates the synergistic equilibrium between traffic supply (Node) and land use (Place). However, practical applications often face limitations that can shift this relationship from the ideal 1:1 equilibrium. During the regulatory detailed planning stage, while we determine the Node-Place equilibrium relationship that effectively confirms the anticipated people activity density, we also ensure it aligns with varied development strategies and enables efficient identification of total proportion and thresholds for both traffic supply and land use. Our analysis identified that the Node-Place equilibrium coefficient for TOD subway station areas in Shenzhen, China's highest construction density zone registered at 1.596. Building on this finding, we further developed a method for differentiating between TOD and DOT samples. Regression analysis indicates that the NP model is not appropriate for analyzing DOT station areas. Accordingly, this study proposes a simplified method to enhance the applicability of the NP model in planning decisions, and this method helps avoid the issues associated with incorporating a third dimension and the interpretive challenges of typologies arising from the application of clustering methods to extended NP models.
Authors: Fang Liu, Jiahao Zhou, Hao Geng, Yanmei Zhu, Yuanhong Ma, Shuyang Li
Language: English
Subfield: Transportation
Field: Social Sciences
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $1,500
Funders: National Natural Science Foundation of China, State Key Laboratory of Subtropical Building Science, National Key Research and Development Program of China, Science and Technology Planning Project of Guangdong Province, Shenzhen Science and Technology Innovation Program, Basic and Applied Basic Research Foundation of Guangdong Province
OpenAlex ID: W4410355526