Summary
DigiPACK aims to demonstrate the potential of innovative digital participatory tools for mapping and comparing active mobility
behaviour and localized experiences with children across their gender, age, socio-economic status and settlement typologies within
the Global South context. The key research objectives are: (1) to adapt and contextualize SoftGIS methodology for enabling digital
participatory planning with children in India; (2) to map and compare children’s active mobility behaviour (mode of transport,
accompaniment, home-school route) and environmental experiences (location of meaningful places, frequency of visits, perceived
environmental fears and likability index) across four dimensions of age, gender, socio-economic status and urban settlement
typologies using SoftGIS; and (3) to evaluate the potential of SoftGIS methodology to integrate within India’s urban planning policy
framework. Adopting a comparative case study approach, the SoftGIS data will be collected from children aged 10-17 years from
middle and lower-middle-income families across three distinct neighbourhood settlement typologies of Delhi and analysed using
quantitative statistical techniques. Actor-Network-Theory will be employed for evaluating the role of SoftGIS in the participatory
planning policy framework. The project results, including contextualized digital methodology and new knowledge on how age,
gender, socio-economic status and urban settlement influence children’s active mobility behaviour, will open up new research
avenues and have the potential to revolutionize participatory urban planning with children in India, and the Global South more
broadly. The 2-year project will be hosted by the Department of Built Environment, Aalto University, whose leading expertise in
pioneering the SoftGIS methodology since 2005, will assist me in acquiring new technical skills and building strong European
networks to pursue a career in academia within the Global South context.
behaviour and localized experiences with children across their gender, age, socio-economic status and settlement typologies within
the Global South context. The key research objectives are: (1) to adapt and contextualize SoftGIS methodology for enabling digital
participatory planning with children in India; (2) to map and compare children’s active mobility behaviour (mode of transport,
accompaniment, home-school route) and environmental experiences (location of meaningful places, frequency of visits, perceived
environmental fears and likability index) across four dimensions of age, gender, socio-economic status and urban settlement
typologies using SoftGIS; and (3) to evaluate the potential of SoftGIS methodology to integrate within India’s urban planning policy
framework. Adopting a comparative case study approach, the SoftGIS data will be collected from children aged 10-17 years from
middle and lower-middle-income families across three distinct neighbourhood settlement typologies of Delhi and analysed using
quantitative statistical techniques. Actor-Network-Theory will be employed for evaluating the role of SoftGIS in the participatory
planning policy framework. The project results, including contextualized digital methodology and new knowledge on how age,
gender, socio-economic status and urban settlement influence children’s active mobility behaviour, will open up new research
avenues and have the potential to revolutionize participatory urban planning with children in India, and the Global South more
broadly. The 2-year project will be hosted by the Department of Built Environment, Aalto University, whose leading expertise in
pioneering the SoftGIS methodology since 2005, will assist me in acquiring new technical skills and building strong European
networks to pursue a career in academia within the Global South context.
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More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/101150841 |
| Start date: | 01-06-2025 |
| End date: | 31-05-2027 |
| Total budget - Public funding: | - 215 534,00 Euro |
Cordis data
Original description
DigiPACK aims to demonstrate the potential of innovative digital participatory tools for mapping and comparing active mobilitybehaviour and localized experiences with children across their gender, age, socio-economic status and settlement typologies within
the Global South context. The key research objectives are: (1) to adapt and contextualize SoftGIS methodology for enabling digital
participatory planning with children in India; (2) to map and compare children’s active mobility behaviour (mode of transport,
accompaniment, home-school route) and environmental experiences (location of meaningful places, frequency of visits, perceived
environmental fears and likability index) across four dimensions of age, gender, socio-economic status and urban settlement
typologies using SoftGIS; and (3) to evaluate the potential of SoftGIS methodology to integrate within India’s urban planning policy
framework. Adopting a comparative case study approach, the SoftGIS data will be collected from children aged 10-17 years from
middle and lower-middle-income families across three distinct neighbourhood settlement typologies of Delhi and analysed using
quantitative statistical techniques. Actor-Network-Theory will be employed for evaluating the role of SoftGIS in the participatory
planning policy framework. The project results, including contextualized digital methodology and new knowledge on how age,
gender, socio-economic status and urban settlement influence children’s active mobility behaviour, will open up new research
avenues and have the potential to revolutionize participatory urban planning with children in India, and the Global South more
broadly. The 2-year project will be hosted by the Department of Built Environment, Aalto University, whose leading expertise in
pioneering the SoftGIS methodology since 2005, will assist me in acquiring new technical skills and building strong European
networks to pursue a career in academia within the Global South context.
Status
SIGNEDCall topic
HORIZON-MSCA-2023-PF-01-01Update Date
29-09-2024
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