Bridging nature and urbanity through green roof resilience framework (GRF): A thematic review

Saqib, Alishba; Khan, M Sana Ullah; Rana, Irfan Ahmad

doi:10.1016/j.nbsj.2024.100182

Nature-Based Solutions

2024

DOI: 10.1016/j.nbsj.2024.100182

|View full text |Cite

Bridging nature and urbanity through green roof resilience framework (GRF): A thematic review

Alishba Saqib,

M Sana Ullah Khan,

Irfan Ahmad Rana

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 72 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Energy-Efficient Urban Transportation Planning using Traffic Flow Optimization

Khandelwal,

Karuna,

Reddy

et al. 2024

E3S Web Conf.

View full text Add to dashboard Cite

This study examines how predictive analytics and the IoT might improve sustainable urban transportation systems. Using IoT device data, this study will explore how predictive analytics and IoT integration alter urban transportation. The data covers vehicle speed, traffic density, AQI, and weather. The research estimates traffic congestion, AQI, and volume using predictive modeling. This assesses prediction accuracy and data match. Unfavorable weather increases congestion, whereas traffic density decreases vehicle speed. Predictive methods accurately estimate congestion and air quality, but traffic volume is more difficult. The algorithms' accuracy in anticipating congestion and AQI is confirmed by comparing predicted and actual outcomes. Despite a 1.4% traffic flow increase, predictive analytics and IoT solutions reduce congestion by 25% and improve air quality by 12.7%. The impact research shows that these methods reduce congestion and promote sustainability. This research highlights the potential of predictive analytics and IoT to improve urban mobility, enable smarter decision-making, and create sustainable urban environments via data-driven insights and proactive actions.

show abstract

Energy-Efficient Urban Transportation Planning using Traffic Flow Optimization

Khandelwal,

Karuna,

Reddy

et al. 2024

E3S Web Conf.

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Bridging nature and urbanity through green roof resilience framework (GRF): A thematic review

Cited by 1 publication

References 72 publications

Energy-Efficient Urban Transportation Planning using Traffic Flow Optimization

Energy-Efficient Urban Transportation Planning using Traffic Flow Optimization

Contact Info

Product

Resources

About