Toward Green Urban Settlement Using Mix Method Analysis with Unmanned Aerial Vehicle Data

DOI

10.2991/978-94-6463-926-1_67How to use a DOI?

Keywords

Green Area; Mapping; Unmanned Aerial Vehicle; Urban Settlement

Abstract

A safe and comfortable urban settlement is an area with easy access to public facilities. Research related to improving the quality of urban settlements provides a clear direction for accessibility and infrastructure. The complexity of urban settlement characteristics takes time in collecting data; therefore, the use of technology of Unmanned Aerial Vehicle (UAV) or drone supports the process to be effective and efficient. Problems in urban settlement areas include uncontrolled development of buildings and infrastructure, limited public facilities and utilities provided, and environmental degradation. This research aims to evaluate the area of urban settlement from data of UAVs for a greener urban revitalization and development area. The method used in gaining data is through the use of a UAV in the area of Urban Settlement of Mapanget, Manado, North Sulawesi, Indonesia. The possibility of existing areas for revitalization is analysed using mixed-method approaches based on different aspects, including infrastructure and public facilities available, building construction, utility, and project management. Evaluation considers the aspect of public facility needs according to the standard of urban settlement. The result shows the mapping area of Mapanget is clear for analysis, and the area needs to consider infrastructure quality and the need for guidance for urban development. Further research is needed to create guidance for green urban settlements.

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.

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TY  - CONF
AU  - Febriane Paulina Makalew
AU  - Sherley Runtunuwu
AU  - Helen Grace Mantiri
AU  - Deyke Yunita Femeli Mandang
AU  - Muhamad Janu Thouladan Syarief
PY  - 2025
DA  - 2025/12/31
TI  - Toward Green Urban Settlement Using Mix Method Analysis with Unmanned Aerial Vehicle Data
BT  - Proceedings of the International Conference on Applied Science and Technology on Engineering Science 2025 (iCAST-ES 2025)
PB  - Atlantis Press
SP  - 601
EP  - 609
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-926-1_67
DO  - 10.2991/978-94-6463-926-1_67
ID  - Makalew2025
ER  -