Kumar, Saransh (2025) A socio-spatial approach to visualize phases of development in one timeline. In: 44th Annual Conference of the International Association for Impact Assessment, 1-4 May 2025, Bologna Congressi (Bologna Congress Center) Bologna, Italy.
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| Abstract: | Discretized Impact Assessments requires at least two points of data to establish a change. The monitoring process establishes this change over baseline spread across time and space which is often complex for the impact pathways in socio-environmental interactions. This paper aims to simplify and understand these impact pathways using consumption vectors in order to build a comprehensive foundation for evidence collection. We use machine deep learning based TabNet architecture to analyze and GIS based methods to spatialize the impacts of linear infrastructure projects over one timeline. The resultant impact scenarios deconstruct context specific issues subject to different starting point in the development phases. Using Char Dham Mahamarg Project (Uttarakhand, India) as a case study, this paper thus, explores the scope of impact assessment planning for data sourcing and ways to operationalize it in the field. The results suggests that the approach is successful in extrapolating nonlinearity of the impact pathways of linear infrastructures across development intervention. Incorporating these insights in developing scenarios show an in depth understanding of the impacts which can be drawn to the household levels. |
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| Item Type: | Conference or Workshop Item (Paper) |
| Keywords: | Consumption Pathways, Development, Field Visualization, Linear Infrastructures, TabNet. |
| Subjects: | School of Conflict and Security Studies > Science and Technology School of Conflict and Security Studies |
| Divisions: | Schools > Conflict and Security Studies |
| Date Deposited: | 25 May 2026 06:10 |
| Last Modified: | 25 May 2026 06:10 |
| Official URL: | https://2025.iaia.org/final-papers/973_Kumar_A_Soc... |
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| Funders: | * |
| Projects: | * |
| DOI: | |
| URI: | http://eprints.nias.res.in/id/eprint/3378 |
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