Sabbir Ahmed Chowdhury. Research manuscript proposing a socio-technical destination digital twin framework for climate-resilient tourism. The study integrates tourism demand forecasting, mobility simulation, visitor experience, operational carbon emissions, and resident wellbeing within a unified decision-support framework.
(n.d.). Destination Digital Twins for Climate-Resilient Tourism: Integrating Mobility, Demand, Visitor Experience, Carbon, and Resident Wellbeing. https://www.sabbirresearchhub.com/research/bb5df22b-5b71-5b07-874e-02cbfd2274ca
“Destination Digital Twins for Climate-Resilient Tourism: Integrating Mobility, Demand, Visitor Experience, Carbon, and Resident Wellbeing,” n.d.. [Online]. Available: https://www.sabbirresearchhub.com/research/bb5df22b-5b71-5b07-874e-02cbfd2274ca
(n.d.) ‘Destination Digital Twins for Climate-Resilient Tourism: Integrating Mobility, Demand, Visitor Experience, Carbon, and Resident Wellbeing’. Available at: https://www.sabbirresearchhub.com/research/bb5df22b-5b71-5b07-874e-02cbfd2274ca
“Destination Digital Twins for Climate-Resilient Tourism: Integrating Mobility, Demand, Visitor Experience, Carbon, and Resident Wellbeing.” n.d., https://www.sabbirresearchhub.com/research/bb5df22b-5b71-5b07-874e-02cbfd2274ca.
“Destination Digital Twins for Climate-Resilient Tourism: Integrating Mobility, Demand, Visitor Experience, Carbon, and Resident Wellbeing.” (n.d.). https://www.sabbirresearchhub.com/research/bb5df22b-5b71-5b07-874e-02cbfd2274ca.
Destination Digital Twins for Climate-Resilient Tourism: Integrating Mobility, Demand, Visitor Experience, Carbon, and Resident Wellbeing. n.d.. https://www.sabbirresearchhub.com/research/bb5df22b-5b71-5b07-874e-02cbfd2274ca
@misc{article_bb5df22b5b715b07874e02cbfd2274ca,
title = {Destination Digital Twins for Climate-Resilient Tourism: Integrating Mobility, Demand, Visitor Experience, Carbon, and Resident Wellbeing},
url = {https://www.sabbirresearchhub.com/research/bb5df22b-5b71-5b07-874e-02cbfd2274ca},
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Sabbir Ahmed Chowdhury. Research manuscript investigating privacy-preserving causal marketing analytics and sustainable personalization. Using 2,205 anonymized customer records, the study evaluates whether data minimization can preserve causal, predictive, and customer-value performance while reducing dependence on extensive behavioral data.
Sabbir Ahmed Chowdhury. Research manuscript examining how generative AI is reshaping platform work, with particular emphasis on job quality, skill polarization, algorithmic management, and worker agency. The study uses a systematic comparative evidence synthesis of 28 peer-reviewed journal articles published between 2017 and 2025 and compares pre- and post-generative-AI research patterns.