Formulating a Railway Station Accessibility (RsAI) Model for Station Hierarchy Classification

Bibliographic Data

ID13113296
AuthorsRahul Vardhan Bhatnagar (0000-0001-8845-7088, School of Planning and Architecture Delhi, corresponding author), Sewa Ram (School of Planning and Architecture Delhi)
Year2023
Volume7
Issue2
Pages48-48
Publication date2023-05-08
Open AccessYes
TypeARTICLE
VenueUrban Science (JOURNAL)
Journal identifiersISSN: 2413-8851 • E-ISSN: 2413-8851
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/urbansci7020048
OpenAlexW4375950035
LanguageEN
Citations received1
References cited37

The accessibility of railway stations plays a crucial role in assessing service quality, predicting travel patterns, and developing infrastructure in the surrounding areas. This paper proposes a railway station accessibility index (RsAI) (external) that incorporates various parameters, including network performance, into a weighted measure. We reviewed different methods for measuring accessibility levels for transit systems to identify the most suitable models for this study. The primary objective of this paper is to classify railway stations into different hierarchies based on their accessibility levels and to develop an external accessibility index to measure their performance. With increasing urbanization and congestion, accessing railway stations has become more challenging, impacting railway efficiency and leading to modal shifts to other transportation systems. This paper not only identifies critical parameters but also emphasizes the need to measure and improve last-mile network performance to enhance station accessibility, thereby benefiting both passengers and the railway industry

Business · Data mining · Hierarchy · Index (typography · Measure (data warehouse · Modal · Service (business · Transport engineering · Urbanization · Computer Science · Engineering · Transportation Planning and Optimization · Urban and Freight Transport Logistics · Urban Transport and Accessibility

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