Formulating a Railway Station Accessibility (RsAI) Model for Station Hierarchy Classification
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 net...
Ausführliche Beschreibung
Autor*in: |
Rahul Vardhan Bhatnagar [verfasserIn] Sewa Ram [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
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2023 |
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Übergeordnetes Werk: |
In: Urban Science - MDPI AG, 2017, 7(2023), 2, p 48 |
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Übergeordnetes Werk: |
volume:7 ; year:2023 ; number:2, p 48 |
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DOI / URN: |
10.3390/urbansci7020048 |
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Katalog-ID: |
DOAJ094045836 |
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10.3390/urbansci7020048 doi (DE-627)DOAJ094045836 (DE-599)DOAJd30506e0ed5f4f72a860f3efe7e2bcbe DE-627 ger DE-627 rakwb eng Rahul Vardhan Bhatnagar verfasserin aut Formulating a Railway Station Accessibility (RsAI) Model for Station Hierarchy Classification 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. PCA station classification accessibility indices graph theory Geography. Anthropology. Recreation G Social Sciences H Sewa Ram verfasserin aut In Urban Science MDPI AG, 2017 7(2023), 2, p 48 (DE-627)886127238 (DE-600)2893596-2 24138851 nnns volume:7 year:2023 number:2, p 48 https://doi.org/10.3390/urbansci7020048 kostenfrei https://doaj.org/article/d30506e0ed5f4f72a860f3efe7e2bcbe kostenfrei https://www.mdpi.com/2413-8851/7/2/48 kostenfrei https://doaj.org/toc/2413-8851 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 7 2023 2, p 48 |
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10.3390/urbansci7020048 doi (DE-627)DOAJ094045836 (DE-599)DOAJd30506e0ed5f4f72a860f3efe7e2bcbe DE-627 ger DE-627 rakwb eng Rahul Vardhan Bhatnagar verfasserin aut Formulating a Railway Station Accessibility (RsAI) Model for Station Hierarchy Classification 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. PCA station classification accessibility indices graph theory Geography. Anthropology. Recreation G Social Sciences H Sewa Ram verfasserin aut In Urban Science MDPI AG, 2017 7(2023), 2, p 48 (DE-627)886127238 (DE-600)2893596-2 24138851 nnns volume:7 year:2023 number:2, p 48 https://doi.org/10.3390/urbansci7020048 kostenfrei https://doaj.org/article/d30506e0ed5f4f72a860f3efe7e2bcbe kostenfrei https://www.mdpi.com/2413-8851/7/2/48 kostenfrei https://doaj.org/toc/2413-8851 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 7 2023 2, p 48 |
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10.3390/urbansci7020048 doi (DE-627)DOAJ094045836 (DE-599)DOAJd30506e0ed5f4f72a860f3efe7e2bcbe DE-627 ger DE-627 rakwb eng Rahul Vardhan Bhatnagar verfasserin aut Formulating a Railway Station Accessibility (RsAI) Model for Station Hierarchy Classification 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. PCA station classification accessibility indices graph theory Geography. Anthropology. Recreation G Social Sciences H Sewa Ram verfasserin aut In Urban Science MDPI AG, 2017 7(2023), 2, p 48 (DE-627)886127238 (DE-600)2893596-2 24138851 nnns volume:7 year:2023 number:2, p 48 https://doi.org/10.3390/urbansci7020048 kostenfrei https://doaj.org/article/d30506e0ed5f4f72a860f3efe7e2bcbe kostenfrei https://www.mdpi.com/2413-8851/7/2/48 kostenfrei https://doaj.org/toc/2413-8851 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 7 2023 2, p 48 |
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Formulating a Railway Station Accessibility (RsAI) Model for Station Hierarchy Classification |
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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. |
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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. |
abstract_unstemmed |
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. |
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Formulating a Railway Station Accessibility (RsAI) Model for Station Hierarchy Classification |
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|
score |
7.4002647 |