Development of a multipurpose geographic database for urban infrastructure management in Ho Chi Minh city (Vietnam)

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Authors:


Hanh Hong Tran*, orcid.org/0000-0002-8771-8351, Hanoi University of Mining and Geology, Faculty of Geomatics and Land Administration, Hanoi, the Socialist Republic of Vietnam, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Hien Thu Thi Nguyen, orcid.org/0009-0009-2771-9748, Vegastar Technology Company Limited, Hanoi, the Socialist Republic of Vietnam

* Corresponding author e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.


повний текст / full article



Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 2025, (2): 197 - 205

https://doi.org/10.33271/nvngu/2025-2/197



Abstract:


A Geographic Information System (GIS) is a technology designed to collect, store, analyze, manage, display, and update location-based data, integrating diverse data types from various sources. A critical component of GIS is its database, which organizes and stores data in a structured format, enabling the efficient retrieval and management of primary information. The geographic database plays an important role in various fields, including socio-economic development, national security and defense, natural resource and environmental management, transportation, and the exploitation of natural resources. The urban technical infrastructure database is one of the key databases supporting the development of smart cities.


Purpose.
To develop a multipurpose geographic database at a scale of 1:2,000 for Ho Chi Minh City region, Vietnam, from which data layers will be extracted to support the management of urban technical infrastructure in the study area.


Methodology.
The research consists of several essential steps, including LiDAR scanning, digital photography, data collection and processing, digital image mapping, standardization of digital elevation models, vectorization of geographic features, and field investigations to gather attribute data for geographic objects. Subsequently, the process involves integrating specialized maps with existing 1:2,000-scale topographic maps to standardize the geographic data. The next phase focuses on building a geographic database and editing the 1:2,000-scale topographic map using ArcGIS. Finally, data layers related to urban technical infrastructure will be extracted from the geographic database.


Findings.
The geographic database was developed consisting of seven groups – borders, hydrology, surveying, population, topography, traffic, and surface coverage, and a 1:2,000-scale topographic map of Ho Chi Minh City was created. Additionally, basic urban technical infrastructure data layers were extracted from the geographic database to support urban infrastructure management.


Originality.
This study is the first to establish a geographic database at a 1:2,000 scale and extract urban infrastructure data layers from it for the experimental area of Ho Chi Minh City, Vietnam.


Practical value.
The research results will enhance the information system supporting urban technical infrastructure management, enabling local authorities to develop appropriate policies and streamline management processes more efficiently and effectively.



Keywords:
geographic database, urban infrastructure, technical infrastructure management, Ho Chi Minh City, Vietnam

References.


1. Bolstad, P. (2016). GIS Fundamentals: A First Text on Geographic Information System (5 th Ed.). XanEdu Publishing Inc., Ann Arbor. ISBN: 978-1506695877.

2. Kuwar, S. V., & Patil, M. B. (2024). Geographic Information Systems-Principles and Applications. Academic Guru Publishing House. ISBN: 978-81-980371-9-0.

3. Li, J., Shirowzhan, S., Pignatta, G., & Sepasgozar, S. M. E. (2024). Data-Driven Net-Zero Carbon Monitoring: Applications of Geographic Information Systems, Building Information Modelling, Remote Sensing, and Artificial Intelligence for Sustainable and Resilient Cities. Sustainability, 16(15), 6285. https://doi.org/10.3390/su16156285

4. Attah, R. U., Gil-Ozoudeh, I., Garba, B. M. P., & Iwuanyanwu, O. (2024). Leveraging geographic information systems and data analytics for enhanced public sector decision-making and urban planning. Magna Scientia Advanced Research and Reviews, 12(2), 152-63. https://doi.org/10.30574/msarr.2024.12.2.0191

5. Ngoc Quynh Giao, P., Phi Phuong, P., & Stanicky, P. (2022). Changes in Urban Planning and Recommendation for Future Planning in Ho Chi Minh City. In Urban and Transit Planning: Towards Liveable Communities: Urban places and Design Spaces, (pp. 125-137). Springer, Cham. https://doi.org/10.1007/978-3-030-97046-8_10

6. Dapice, D., Gomez-Ibanez, J. A., & Nguyen, X. T. (2009). Ho Chi Minh City: the challenges of growth (No. 2). Hanoi, Vietnam: United Nations Development Programme in Vietnam. Retrieved from https://www.undp.org/sites/g/files/zskgke326/files/migration/vn/24699_20911_HCM_Challenges_of_growth.pdf

7. Coruhlu, Y. E., & Yildiz, O. (2017). Geographical database for object-oriented land division modelling in Turkey. Land use policy, 68, 212-221. https://doi.org/10.1016/j.landusepol.2017.07.059

8. Servigne, S., Ubeda, T., Puricelli, A., & Laurini, R. (2000). A methodology for spatial consistency improvement of geographic databases. GeoInformatica, 4(1), 7-34. https://doi.org/10.1023/A:1009824308542

9. Fitch, C. A., & Ruggles, S. (2003). Building the national historical geographic information system. Historical Methods: A Journal of Quantitative and Interdisciplinary History, 36(1), 41-51. https://doi.org/10.1080/01615440309601214

10.      Baglioni, M., Masserotti, M. V., Renso, C., & Spinsanti, L. (2007, November). Building geospatial ontologies from geographical databases. International Conference on GeoSpatial Sematics, (pp. 195-209). Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-540-76876-0_13

11.      Chen, L., & Ng, E. (2011). Quantitative urban climate mapping based on a geographical database: A simulation approach using Hong Kong as a case study. International Journal of Applied Earth Observation and Geoinformation, 13(4), 586-594. https://doi.org/10.1016/j.jag.2011.03.003

12.      Tran, A. T., Bui, T. X. H., & Phan, Q. Y. (2024). Research on building a tool to check the suitability of the national fundamental geographic database framework structure at scales of 1:2,000, 1:5,000, 1:10,000. The journal of Geodesy and Cartography, 61, 17-24.https://doi.org/10.54491/jgac.2024.61.746

13.      Cao, X. T., Phan, T. H., Nguyen, T. T. N., Le, N. T., & Pham, T. M. (2023). A technological procedure for updating geo-database at a scale of 1:10,000 by using SPOT 6,7 stereo satellite images. Journal of Natural Resources and Environment Science, 45, 52-61.

14.      Dong, T. B. P., & Tran, T. M. D. (2020). Technical database solution for automatic derivation of geographic base databases and topographic maps. The journal of Geodesy and Cartography, 46, 14-18. https://doi.org/10.54491/jgac.2020.46.47

15.      Balasubramani, B. S., Belingheri, O., Boria, E. S., Cruz, I. F., Derrible, S., & Siciliano, M. D. (2017, November). GUIDES: Geospatial urban infrastructure data engineering solutions. Proceedings of the 25 th ACM sigspatial international conference on advances in geographic information systems, 1-4. https://doi.org/10.1145/3139958.3139968

16.      Han, J., Chen, W. Q., Zhang, L., & Liu, G. (2018). Uncovering the spatiotemporal dynamics of urban infrastructure development: A high spatial resolution material stock and flow analysis. Environmental science & technology, 52(21), 12122-12132. https://doi.org/10.1021/acs.est.8b03111

17.      Chen, Y., Sabri, S., Rajabifard, A., Agunbiade, M. E., Kalantari, M., & Amirebrahimi, S. (2020). The design and practice of a semantic-enabled urban analytics data infrastructure. Computers, Environment and Urban Systems, 81, 101484. https://doi.org/10.1016/j.compenvurbsys.2020.101484

18.      Le, T. T. H. (2023). A case study on the construction of 3D geospatial information for the urban trees. Journal of Natural Resources and Environment Science, 46, 45-54.

19.      Nguyen, B. N., Dao, D. H., & Tran, T. P. (2014). GIS application on establishing 3D model for urban spatial planning in Hai Chau District, Da Nang City. The journal of Geodesy and Cartography, 19, 47-55. https://doi.org/10.54491/jgac.2014.19.101

20.      Nguyen, T. N., Pham, T. V., Dinh, D. T. A., & Nguyen, T. H. (2019). Application of GIS in building the geodatabase for supporting water supply management in the urban districts of Can Tho city. CTU Journal of Science, 55, 77-84. https://doi.org/10.22144/ctu.jsi.2019.134

21.      General Statistic Office (2024). Statistical Yearbook of Vietnam 2023. Statistical Publishing House. ISBN: 978-604-75-2641-3.

 

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ISSN (print) 2071-2227,
ISSN (online) 2223-2362.
Journal was registered by Ministry of Justice of Ukraine.
Registration number КВ No.17742-6592PR dated April 27, 2011.

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