From global typologies to place-based indicators
An applied geographical approach to TOD in Ho Chi Minh city
Bibliographic Data
| ID | 21449972 |
|---|---|
| Authors | Thi Ngoc Huynh (0000-0003-0192-1592, Vietnam National University Ho Chi Minh City), Thuong Hong Dinh (0009-0000-2493-245X, Vietnam National University Ho Chi Minh City, corresponding author), Long Le-Hoai (0000-0003-4940-8560, Vietnam National University Ho Chi Minh City), Khoi Van Tien Nguyen (0009-0002-9725-6514, Vietnam National University Ho Chi Minh City) |
| Year | 2026 |
| Volume | 193 |
| Pages | 104087 |
| Publication date | 2026-08-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Applied Geography (JOURNAL) |
| Journal identifiers | ISSN: 0143-6228 • E-ISSN: 1873-7730 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.apgeog.2026.104087 |
| OpenAlex | W7164746521 |
| Language | EN |
| References cited | 24 |
Developing sustainable land use strategies for rapidly urbanizing cities is a critical geographical challenge. While Transit-Oriented Development (TOD) offers a proven model, translating global best practices into locally relevant, actionable planning tools remains a significant barrier, particularly in developing countries. This paper introduces a transferable, four-step applied geographical framework to address this gap, using Phuoc Long metro station in Ho Chi Minh City, Vietnam, as a case study. The methodology first links the local station to an analogous global TOD typology using machine learning. Subsequently, a Random Forest model identifies the most critical, interpretable spatial features that define the typology. Finally, these data-driven insights are systematically integrated with local planning policies to propose context-specific TOD indicators. Applied to Phuoc Long Station, this process yielded a set of robust land use recommendations, including the conversion of existing industrial land (from 39.4% to 0%) and significant increases in mixed-use (to 15%) and green space (to 15%). The framework also produced key spatial technical indicators, such as a target population density of 150-190 persons/ha and the necessity of enhanced bus station density. The proposed methodology provides a quantitative framework for deriving place-based TOD indicators, offering a valuable tool for sustainable urban resource management in other developing cities
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| Highly cited | No |
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