Assessing travel time performance of multimodal transportation systems using fuzzy-analytic hierarchy process: A case study of Bhopal City. [PDF]
Tanwar R, Agarwal PK.
europepmc +1 more source
A universal geography neural network for mobility flow prediction in planning scenarios
Abstract This study primarily focuses on generating mobility flow in regions and cities, which plays an important role in urban planning and management. The majority of existing mobility flow models, including conventional statistical models and deep learning‐based models, are heavily dependent on historical data to predict future mobility flows.
Jifu Guo+6 more
wiley +1 more source
Does formal public transport serve the city well? The importance of semiformal transport for the accessibility in Medellín, Colombia. [PDF]
Stiller D+5 more
europepmc +1 more source
Origin–destination prediction via knowledge‐enhanced hybrid learning
Abstract This paper proposes a novel origin–destination (OD) prediction (ODP) model, namely, knowledge‐enhanced hybrid spatial–temporal graph neural networks (KE‐H‐GNN). KE‐H‐GNN integrates a deep learning predictive model with traffic engineering domain knowledge and a multi‐linear regression (MLR) module for incorporating external factors. Leveraging
Zeren Xing+5 more
wiley +1 more source
Law's artefacts: Personal rapid transit and public narratives of hitchhiking and crime. [PDF]
Cole SA, Bertenthal A.
europepmc +1 more source
Abstract Passenger flow control and bus bridging are used widely in the operations and management of urban rail transit to relieve the pressure of urban rail transit passenger flow, especially in peak periods. This paper presents an optimization method based on time‐varying running time in links.
Qingqing Zhao+6 more
wiley +1 more source
Optimizing urban bus network based on spatial matching patterns for sustainable transportation: A case study in Harbin, China. [PDF]
Gao B, Liu J.
europepmc +1 more source
Multi‐task graph‐based model for metro flow prediction under dynamic urban conditions
Abstract Accurately predicting metro commuter flows under changing urban conditions is essential for guiding infrastructure investments and service planning. However, existing methods show limited adaptability to evolving urban conditions. To address this, we propose an adaptive graph sharing embedding cascade interaction network (AGSECIN), which ...
Lu Zhao+7 more
wiley +1 more source
Evaluating the impact of built environment on shared electric bicycle connectivity in kunming's public transport system. [PDF]
Gou C+5 more
europepmc +1 more source