Energy-Efficient Urban Transportation Planning using Traffic Flow Optimization DOI Creative Commons
Utkal Khandelwal,

G. Karuna,

Sanjay Reddy

et al.

E3S Web of Conferences, Journal Year: 2024, Volume and Issue: 581, P. 01039 - 01039

Published: Jan. 1, 2024

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

Language: Английский

Community Readiness for Agro Living Lab (ALL) Projects: Factors Influencing Engagement of Young Urban Residents DOI Creative Commons
Wojciech Sroka, Karol Król,

Jakub Kulesza

et al.

Agriculture, Journal Year: 2025, Volume and Issue: 15(1), P. 94 - 94

Published: Jan. 3, 2025

The aim of this research is to analyze the drivers young urban residents’ readiness actively participate in agro living lab (ALL) projects, contributing sustainable and resilient systems. This study based on a literature review survey conducted among students from selected universities Kraków. Using factor analysis regression trees, profiles individuals most inclined ALL projects were identified. included wide range variables, such as education, proximity agriculture, perception various sociodemographic characteristics. These findings indicate that engage strongly associated with respondents’ field study, interests, individual experiences. Moreover, participants positive attitudes toward agriculture personal relationships farmers more likely express ALLs. results provide new insights into social conditions influencing participation offer valuable guidance for developing strategies promote active engagement populations food initiatives.

Language: Английский

Citations

0
Urban greening for climate resilient and sustainable cities: grand challenges and opportunities DOI Creative Commons
Prashant Kumar, Jeetendra Sahani, Krystle Perez

et al.

Frontiers in Sustainable Cities, Journal Year: 2025, Volume and Issue: 7

Published: April 30, 2025

Language: Английский

Citations

0
Green roofs for energy efficiency and GBI compliance: a case study of government buildings in East Coast Malaysia DOI

Mohamad Firdaus Mohamad Borhan,

Shahnizan Imran Mohd Nazri,

Nur Farhayu Ariffin

et al.

Journal of Building Pathology and Rehabilitation, Journal Year: 2025, Volume and Issue: 10(1)

Published: March 6, 2025

Language: Английский

Citations

0
Energy-Efficient Urban Transportation Planning using Traffic Flow Optimization DOI Creative Commons
Utkal Khandelwal,

G. Karuna,

Sanjay Reddy

et al.

E3S Web of Conferences, Journal Year: 2024, Volume and Issue: 581, P. 01039 - 01039

Published: Jan. 1, 2024

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

Language: Английский

Citations

0