Authors : Kim Harvey C. Roca; Charlyn T. Gorgonio

Volume/Issue : Volume 11 - 2026, Issue 6 - June

Google Scholar : https://tinyurl.com/4pd7traf

Scribd : https://tinyurl.com/yr6ks7kv

DOI : https://doi.org/10.38124/ijisrt/26jun1517

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : Population density is a critical planning indicator that influences infrastructure provision, public service delivery, and resource allocation. This study analyzed the spatiotemporal patterns of population density in the Municipality of Carmen, Davao del Norte, Philippines, from 2015 to 2024 and examined their implications for local planning and development. A descriptive-quantitative approach integrated with spatial and temporal analyses was employed using barangay-level population and land area data. Results showed that the municipal average population density increased from 441.71 persons/km² in 2015 to 505.26 persons/km² in 2024, representing a 14.38% increase over the study period. Barangays Ising, Sto. Niño and Tubod consistently recorded the highest population density, while Minda, Salvacion, and San Isidro remained the least densely populated. Seventeen of the twenty barangays exhibited increasing density trends. Spatial analysis revealed a high degree of persistence in the municipality’s settlement structure, with population growth occurring primarily through the intensification of existing population centers rather than the emergence of new centers. The findings indicate that population density patterns in Carmen remain unevenly distributed across barangays and highlight the importance of incorporating population density analysis into local planning processes to support evidence-based development decisions and sustainable resource allocation.

Keywords : Population Density, Spatiotemporal Analysis, Settlement Patterns, Local Planning, Carmen, Davao Del Norte.

References :

1. Angel, S., Lamson-Hall, P., & Gonzalez Blanco, Z. (2021). Anatomy of density: Measurable factors that constitute urban density. Buildings and Cities, 2(1), 264–282. https://doi.org/10.5334/bc.91
2. Arfanuzzaman, M., & Dahiya, B. (2019). Sustainable urbanization in Southeast Asia and beyond: Challenges of population growth, land use change and environmental health. Growth and Change, 50(2), 725–744. https://doi.org/10.1111/grow.12297
3. Chaves, C. M., Eustaquio, J., & da Costa Marcall, A. C. (2022). Modeling the development of settlements in the Philippines. Transactions of the National Academy of Science and Technology, 43. https://doi.org/10.57043/transnastphl.2021.1130
4. Christaller, W. (1966). Central places in southern Germany (C. W. Baskin, Trans.). Prentice-Hall. (Original work published in 1933)
5. Damgo, M., Bacus, M. G., Bernido, J. D. A., Evangelio, S. A., Ligue, K. D. B., Estaña, L. M. B., de la Torre, V. C. P., Murao, L. A. E., & Alviola IV, P. A. (2023). Vulnerability assessment of emerging infectious diseases in Davao City, Southern Philippines: Utilizing global predictors to develop localized interventions. Philippine Journal of Science, 152(5), 1555–1577.
6. Fenz, K., Mitterling, T., Martinez, A. M., Bulan, J. A. N. M., Durante, R. L. S., Martillan, M. A., Addawe, M. B., & Roitner-Fransecky, I. (2024). Compiling granular population data using geospatial information. Asian Development Review, 41(1), 263–300. https://doi.org/10.1142/S0116110524500021
7. Fragkias, M., Güneralp, B., Seto, K. C., & Goodness, J. (2013). A synthesis of global urbanization projections. In T. Elmqvist, X. Bai, N. Frantzeskaki, D. Maddox, T. McPhearson, P. Romero-Lankao, R. Simon, & C. Watkins (Eds.), Urbanization, biodiversity and ecosystem services: Challenges and opportunities (pp. 409–435). Springer. https://doi.org/10.1007/978-94-007-7088-1_21
8. Guo, W., Li, J., Wang, H., & Li, X. (2023). Spatiotemporal dynamics of population density in China based on gridded population data. International Journal of Digital Earth, 16(2), 4972–4992. https://doi.org/10.1080/17538947.2023.2233493
9. Haase, D., Güneralp, B., Dahiya, B., Bai, X., & Elmqvist, T. (2018). Global urbanization perspectives and trends. In T. Elmqvist, X. Bai, N. Frantzeskaki, D. Maddox, T. McPhearson, P. Romero-Lankao, R. Simon, & C. Watkins (Eds.), Urban planet: Knowledge towards sustainable cities (pp. 19–44). Cambridge University Press. https://doi.org/10.1017/9781316647554.003
10. Jiang, S., Zhang, Z., Ren, H., Wei, G., Xu, M., & Liu, B. (2021). Spatiotemporal characteristics of urban land expansion and population growth in Africa from 2001 to 2019: Evidence from population density data. ISPRS International Journal of Geo-Information, 10(9), Article 584. https://doi.org/10.3390/ijgi10090584
11. Leyk, S., Gaughan, A. E., Adamo, S. B., de Sherbinin, A., Balk, D., Freire, S., Rose, A., Stevens, F. R., Blankespoor, B., Frye, C., Comenetz, J., Sorichetta, A., MacManus, K., Pistolesi, L., Levy, M., Tatem, A. J., & Pesaresi, M. (2019). The spatial allocation of population: A review of large-scale gridded population data products and their fitness for use. Earth System Science Data, 11(3), 1385–1409. https://doi.org/10.5194/essd-11-1385-2019
12. Li, M., Zhou, W., Ouyang, Z., & Xu, W. (2018). Mapping urban population density at a fine scale using spatial data. Landscape and Urban Planning, 178, 122–132. https://doi.org/10.1016/j.landurbplan.2018.05.023
13. McDonald, R. I., Aronson, M. F. J., Beatley, T., Beller, E., Bazo, M., Grossinger, R., Jessup, K., Mansur, A. V., Oliveira, J. A. P., Panlasigui, S., Burg, J., Pevzner, N., Shanahan, D., Stoneburner, L., Rudd, A., & Spotswood, E. (2023). Denser and greener cities: Green interventions to achieve both urban density and nature. People and Nature, 5(1), 84–102. https://doi.org/10.1002/pan3.10423
14. Miyauchi, T., & Setoguchi, T. (2023). Does low urban density increase municipal expenditure? Population density as a performance target for compact city planning in Japan. Journal of Urban Management, 12(4), 375–384. https://doi.org/10.1016/j.jum.2023.08.003
15. Pandey, B., Brelsford, C., & Seto, K. C. (2025). Rising infrastructure inequalities accompany urbanization and economic development. Nature Communications, 16, Article 1193. https://doi.org/10.1038/s41467-025-56539-w
16. Parr, J. B. (1999). Growth-pole strategies in regional economic planning: A retrospective view. Part 1. Origins and advocacy. Urban Studies, 36(7), 1195–1215. https://doi.org/10.1080/0042098993187
17. Perroux, F. (1955). Note sur la notion de pôle de croissance. Économie Appliquée, 8(1–2), 307–320. https://doi.org/10.3406/ecoap.1955.2522
18. Philippine Statistics Authority. (2022). Urban population in the Philippines (2020 Census of Population and Housing). Philippine Statistics Authority.
19. Philippine Statistics Authority. (2025). 2024 Census of Population: Region XI (Davao Region). Philippine Statistics Authority.
20. Polinesi, G., Egidi, G., Borrelli, P., & Salvati, L. (2020). Population trends and urbanization: Simulating density effects on land-use changes. ISPRS International Journal of Geo-Information, 9(7), Article 454. https://doi.org/10.3390/ijgi9070454
21. Reyes, C. M., Vargas, A. R. P., & Arboneda, A. A. (2022). Evidence-based local planning and budgeting using the CBMS. Philippine Journal of Development, 49(1), 1–25.
22. Rith, M., Soliman, J. L., Lopez, N. S. A., Fillone, A. M., & Biona, J. B. M. (2020). Development of small area population estimation models for a developing, densely populated metropolitan area and its applications: A case study of Metro Manila. Engineering and Applied Science Research, 47(2), 206–215. https://doi.org/10.14456/easr.2020.23
23. Saniel, J. R., & Salapa, C. C. (2024). Assessing the urbanization-driven challenges of transportation scarcity and commuter accessibility in Davao City: A systematic review. Cognizance Journal of Multidisciplinary Studies, 4(12), 491–501. https://doi.org/10.47760/cognizance.2024.v04i12.044
24. Slach, O., Bosák, V., Krtička, L., Nováček, A., & Rumpel, P. (2019). Urban shrinkage and sustainability: Assessing the nexus between population density, urban structures and urban sustainability. Sustainability, 11(15), Article 4142. https://doi.org/10.3390/su11154142
25. Tabiongan, R. C. (2024). 3D simulation of comprehensive land-use plan maps using GIS and data analytics to promote sustainable development. NRCP Research Journal.
26. Wang, Y., & Zhou, Y. (2021). Spatial pattern mismatch between population density and public service facilities in rapidly urbanizing areas. Journal of Urban Planning and Development, 147(3), Article 04021022. https://doi.org/10.1061/(ASCE)UP.1943-5444.0000711
27. Wardrop, N. A., Jochem, W. C., Bird, T. J., Chamberlain, H. R., Clarke, D., Kerr, D., Bengtsson, L., Juran, S., Seaman, V., & Tatem, A. J. (2018). Spatially disaggregated population estimates in the absence of national population and housing census data. Proceedings of the National Academy of Sciences, 115(14), 3529–3537. https://doi.org/10.1073/pnas.1715305115
28. Yang, J., Shi, Y., Yu, C., & Cao, S.-J. (2020). Challenges of using mobile phone signaling data to estimate urban population density: Towards smart cities and sustainable urban development. Indoor and Built Environment, 29(2), 147–150. https://doi.org/10.1177/1420326X19893145
29. Yang, X., Liu, Y., Li, Y., Du, G., & He, J. (2020). Spatiotemporal evolution of population distribution and its influencing factors. Sustainability, 12(24), Article 10650. https://doi.org/10.3390/su122410650
30. Zander, K. K., Cadag, J. R., Escarcha, J., & Garnett, S. T. (2018). Perceived heat stress increases with population density in urban Philippines. Environmental Research Letters, 13(8), Article 084009. https://doi.org/10.1088/1748-9326/aad2e5