Results 91 to 100 of about 16,206 (266)
Machine learning approach for study on subway passenger flow. [PDF]
Park Y, Choi Y, Kim K, Yoo JK.
europepmc +1 more source
ABSTRACT Air transport is one of the fastest‐growing sources of greenhouse gas emissions, yet it remains one of the most difficult sectors to decarbonize. The sector's climate impact is amplified by two factors: the steady rise in passenger demand and the absence of commercially viable low‐carbon technologies for long‐haul flights.
Jouni K. Juntunen +2 more
wiley +1 more source
Analyzing multiple COVID-19 outbreak impacts: A case study based on Chinese national air passenger flow. [PDF]
Wang J +5 more
europepmc +1 more source
ABSTRACT The dynamic nature of small islands being geographically isolated and their perceived connectedness with global networks complicates research attempts to draw general conclusions on whether insularity leads to marginalization or strengthens their resilience for sustainable development.
Toheeb Lekan Jolaosho +2 more
wiley +1 more source
Objective Accurate short term passenger flow prediction is of great significance to improve the operation and management efficiency of the ultra-large scale of urban rail transit network.
WANG Runqi +4 more
doaj +1 more source
Passenger flow prediction in bus transportation system using deep learning. [PDF]
Nagaraj N, Gururaj HL, Swathi BH, Hu YC.
europepmc +1 more source
ABSTRACT This study examines the dynamic interactions between climate risk, oil price uncertainty (OPU), and technological innovation in shaping Sustainable Development Goals (SDGs) related to Sustainable Cities and Communities (SCC) across Gulf Cooperation Council (GCC) countries from 2005 to 2024. Using a panel Time‐Varying Interactive Fixed Effects (
Mohamed Sami Ben Ali +2 more
wiley +1 more source
To accurately predict the passenger flow of urban rail transit under different external conditions, the distribution characteristics of urban rail passenger flow were analyzed using the AFC data of rail transit, and three influencing factors of urban ...
Song Hu +4 more
doaj +1 more source
CEEMDAN-IPSO-LSTM: A Novel Model for Short-Term Passenger Flow Prediction in Urban Rail Transit Systems. [PDF]
Zeng L, Li Z, Yang J, Xu X.
europepmc +1 more source
Practical Methodology for Developing Visions for Carbon‐Neutral Cities and Communities
ABSTRACT Cities and communities play important roles in sustainable development and climate change mitigation. This study presents a novel framework for developing carbon‐neutral visions for cities and communities. We established five “principles,” investigated options encompassing four parameters (management, goal setting, actions, and quantification),
Kei Gomi +4 more
wiley +1 more source

