Parallel railways and urban sustainability: a comprehensive bayesian evaluation of infrastructure impacts and land use

Document Type

Journal Article

Publication Date

2025

Subject Area

place - urban, mode - rail, infrastructure - track, land use - impacts, planning - methods, policy - sustainable

Keywords

Urdan, rail

Abstract

This study primarily investigates the issues arising from the construction of new railways parallel to existing ones, focusing on the impact on urban spatial layout, coordinated development of urban land use, and the stability of railway infrastructure. It proposes the Bayesian sustainable intelligent framework for enhancing parallel railway reliability (BSIF-PRR), which integrates system reliability analysis, a two-dimensional finite element method (FEM), and a Bayesian neural network (BNN) surrogate model to assess the impact of new railway construction on existing infrastructure. A FEM model is developed for structures adjacent to the existing railway and simulated under various operational scenarios. The BNN model then predicts structural stability limit states, providing critical stability control indices. The BSIF-PRR has been implemented in two practical situations. One was in the design of a new railway, where the indices derived from the model were integrated into the alignment design. This guided a multi-objective optimization process, aiming to enhance system performance while focusing on optimizing land use, minimizing house demolition, and reducing construction costs. Another one was the application of two existing parallel railways to verify the practicality of its predictive indicators. Additionally, the study provides suggestions and strategies for the sustainable development of urban paralleled railways.

Rights

Permission to publish the abstract has been given by Elsevier, copyright remains with them.

Comments

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http://www.sciencedirect.com/science/journal/22106707

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