Comparative analysis of nonlinear impacts on the built environment within station areas with different metro ridership segments

IF 5.1 2区 工程技术 Q1 TRANSPORTATION
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引用次数: 0

Abstract

A plethora of studies have investigated the nonlinear correlation between the built environment and metro ridership. However, the spatiotemporal heterogeneity of this relationship from the perspective of ridership segmentation has received little attention. To address this gap, this study capitalizes on data collected from Wuhan, China. We employ a sophisticated amalgamation of quantile regression models and machine learning methods to construct direct ridership models (DRMs) for different ridership segments (low, medium, and high) and distinct temporal intervals (weekdays and weekends). The primary objective of these models is to scrutinize the salient factors that influence metro ridership within the context of spatiotemporal heterogeneity, including nonlinear relationships and threshold effects of the built environment. The research findings reveal pronounced differences in the significant influencing factors of the built environment on metro ridership across various ridership segments and temporal periods. Additionally, conspicuous spatiotemporal heterogeneity is discerned in the nonlinear relationships and threshold effects between the two. Consequently, considering the spatiotemporal heterogeneity inherent in metro stations, targeted policy optimization measures fostering the sustainable development of transit-oriented development (TOD) strategies are essential.

比较分析不同地铁乘客段的车站区域对建筑环境的非线性影响
已有大量研究探讨了建筑环境与地铁乘客数量之间的非线性关系。然而,从乘客细分的角度来看这种关系的时空异质性却很少受到关注。为了填补这一空白,本研究利用了从中国武汉收集的数据。我们采用了量子回归模型和机器学习方法的复杂组合,为不同的客流细分(低、中、高)和不同的时间区间(工作日和周末)构建了直接客流模型(DRMs)。这些模型的主要目的是在时空异质性的背景下,仔细研究影响地铁乘客数量的突出因素,包括非线性关系和建筑环境的阈值效应。研究结果表明,在不同乘客段和不同时间段,建筑环境对地铁乘客量的重要影响因素存在明显差异。此外,两者之间的非线性关系和阈值效应也存在明显的时空异质性。因此,考虑到地铁站固有的时空异质性,必须采取有针对性的政策优化措施,促进公交导向发展(TOD)战略的可持续发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
9.80
自引率
7.70%
发文量
109
期刊介绍: Travel Behaviour and Society is an interdisciplinary journal publishing high-quality original papers which report leading edge research in theories, methodologies and applications concerning transportation issues and challenges which involve the social and spatial dimensions. In particular, it provides a discussion forum for major research in travel behaviour, transportation infrastructure, transportation and environmental issues, mobility and social sustainability, transportation geographic information systems (TGIS), transportation and quality of life, transportation data collection and analysis, etc.
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