Research Article
A Theoretical Framework for GIS-Enabled Public Electronic Participation in Municipal Solid Waste Management
@INPROCEEDINGS{10.1007/978-3-030-76063-2_37, author={Irene Arinaitwe and Gilbert Maiga and Agnes Nakakawa}, title={A Theoretical Framework for GIS-Enabled Public Electronic Participation in Municipal Solid Waste Management}, proceedings={Science and Technologies for Smart Cities. 6th EAI International Conference, SmartCity360°, Virtual Event, December 2-4, 2020, Proceedings}, proceedings_a={SMARTCITY}, year={2021}, month={5}, keywords={Geographic information systems Participatory planning Municipal solid waste management Uganda}, doi={10.1007/978-3-030-76063-2_37} }- Irene Arinaitwe
Gilbert Maiga
Agnes Nakakawa
Year: 2021
A Theoretical Framework for GIS-Enabled Public Electronic Participation in Municipal Solid Waste Management
SMARTCITY
Springer
DOI: 10.1007/978-3-030-76063-2_37
Abstract
Population growth, urbanization and industrialization are increasing the amounts of solid waste generated in municipalities globally. Municipal solid management (MSWM) is complex and requires active and broader stakeholder participation to achieve sustainable solutions. However, existing solutions to MSWM challenges lack public participation. Although public participatory geographic information systems (PPGIS) may be used to solicit stakeholders’ views in planning for spatial environmental issues, there is a need to develop robust theoretical frameworks to guide their development and use. This study sought to extend the adaptive structuration theory-2 (EAST-2) to develop a comprehensive theoretical framework for the use of PPGIS applications to ensure effective public participation and social inclusion in MSWM. Additional constructs as suggested in literature were added to the existing EAST-2 framework. Data were collected cross-sectionally from MSWM stakeholders in central-Uganda and analyzed using partial least squares structural equation modelling. In the revised framework, participant influences, technology influences and task influences influence GIS-enabled participatory decision-making processes. The revised framework could be used to guide GIS-enabled participatory processes in different environmental problems in similar resource-constrained settings.
