| Issue |
E3S Web of Conf.
Volume 517, 2024
The 10th International Conference on Engineering, Technology, and Industrial Application (ICETIA 2023)
|
|
|---|---|---|
| Article Number | 02003 | |
| Number of page(s) | 7 | |
| Section | Software Engineering | |
| DOI | https://doi.org/10.1051/e3sconf/202451702003 | |
| Published online | 15 April 2024 | |
Development of the TOD.id Mobile App
1 Departement of Civil and Enviromental Engineering, Faculty of Engineering, Universitas Indonesia, Depok 16424, Indonesia
2 Center of Sustainable Infrastructure Development (CSID), Faculty of Engineering, Universitas Indonesia, Depok 16424, Indonesia
3 Department of Civil Engineering, Politeknik Negeri Bengkalis, Sungai Alam, Bengkalis, 28711, Indonesia
* Corresponding author: hardydewanto@gmail.com
The rise of large cities worldwide has spurred the emergence of Transit Oriented Development (TOD) as an urban planning concept. Indonesia, including Jakarta, has begun implementing TOD strategies. To facilitate TOD in Indonesia, this study proposes a conceptual mobile app, TOD.id, informed by preliminary research. It introduces a novel tax approach, Land Value Capture (LVC) tax, to address funding challenges, which account for up to 53.8% of the problem. However, TOD.id remains in a developmental phase, with all features in the conceptual stage, making it unsuitable for immediate market launch. During this stage, this research aims to enhance the TOD.id mobile app by refining existing features and exploring potential new functionalities, which will be based by literature review and benchmarking against similar existing apps in Indonesia. The study employs a desk study method, a qualitative benchmark study method, and the collection of qualitative data. The outcomes of this research are expected to pave the way for the optimal realization of TOD.id in the Indonesian market, aligning with the projections from previous studies.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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