Does physio-environmental determinism influence the infrastructural development of railway stations?
Gespeichert in:
| Autor*in: |
Roy, Stabak [verfasserIn] Mitra, Saptarshi [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2022 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Journal of infrastructure development - Thousand Oaks, Calif. [u.a.] : Sage, 2009, 14(2022), 2 vom: Dez., Seite 91-126 |
|---|---|
| Übergeordnetes Werk: |
volume:14 ; year:2022 ; number:2 ; month:12 ; pages:91-126 |
| Links: |
|---|
| DOI / URN: |
10.1177/09749306221140720 |
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| Katalog-ID: |
1839051507 |
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| 982 | |2 26 |1 00 |x DE-206 |b The main aim of the article is to understand the role of physiographical aspects and attributes in the infrastructural development of railway stations. Remote Sensing and Geographical Information System techniques have been used for delineating physiographic factors and data of social interfaces like passengers' mobility collected from the railway stations. A robust Synthetic Indicator has been used to classify railway stations. The ordinal regression model has run between physio-environmental attributes and Robust Synthetic Indicator. Due to its unique valley and ridge topography and newly developed railway infrastructure, Phenomenological evidence is collected from Tripura, North-eastern state of India. Very few studies have been done addressing the development of railway stations with physio-environmental viability. The study reveals that the physical environment is a significant determining factor, but passenger mobility has a more decisive influence on the infrastructural development of railway stations in Tripura. Infrastructure-driven materialistic possibilism has been proposed as a philosophical model of the infrastructural development of railway stations. | ||
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10.1177/09749306221140720 doi (DE-627)1839051507 (DE-599)KXP1839051507 DE-627 ger DE-627 rda eng Roy, Stabak verfasserin aut Does physio-environmental determinism influence the infrastructural development of railway stations? Stabak Roy and Saptarshi Mitra 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Railway geography (dpeaa)DE-206 railway infrastructure (dpeaa)DE-206 railway transport (dpeaa)DE-206 robust synthetic indicator (dpeaa)DE-206 Mitra, Saptarshi verfasserin (DE-588)1219147966 (DE-627)1734897384 aut Enthalten in Journal of infrastructure development Thousand Oaks, Calif. [u.a.] : Sage, 2009 14(2022), 2 vom: Dez., Seite 91-126 Online-Ressource (DE-627)610940562 (DE-600)2520203-0 (DE-576)312170890 0975-5969 nnns volume:14 year:2022 number:2 month:12 pages:91-126 https://journals.sagepub.com/doi/pdf/10.1177/09749306221140720 Verlag lizenzpflichtig https://doi.org/10.1177/09749306221140720 Resolving-System lizenzpflichtig GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_121 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_165 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2036 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2043 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2093 GBV_ILN_2098 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2125 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2145 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2158 GBV_ILN_2190 GBV_ILN_2193 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2705 GBV_ILN_2889 GBV_ILN_2890 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4277 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_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_4753 AR 14 2022 2 12 91-126 26 01 0206 428886884X x1z 13-03-23 26 00 DE-206 The main aim of the article is to understand the role of physiographical aspects and attributes in the infrastructural development of railway stations. Remote Sensing and Geographical Information System techniques have been used for delineating physiographic factors and data of social interfaces like passengers' mobility collected from the railway stations. A robust Synthetic Indicator has been used to classify railway stations. The ordinal regression model has run between physio-environmental attributes and Robust Synthetic Indicator. Due to its unique valley and ridge topography and newly developed railway infrastructure, Phenomenological evidence is collected from Tripura, North-eastern state of India. Very few studies have been done addressing the development of railway stations with physio-environmental viability. The study reveals that the physical environment is a significant determining factor, but passenger mobility has a more decisive influence on the infrastructural development of railway stations in Tripura. Infrastructure-driven materialistic possibilism has been proposed as a philosophical model of the infrastructural development of railway stations. |
| spelling |
10.1177/09749306221140720 doi (DE-627)1839051507 (DE-599)KXP1839051507 DE-627 ger DE-627 rda eng Roy, Stabak verfasserin aut Does physio-environmental determinism influence the infrastructural development of railway stations? Stabak Roy and Saptarshi Mitra 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Railway geography (dpeaa)DE-206 railway infrastructure (dpeaa)DE-206 railway transport (dpeaa)DE-206 robust synthetic indicator (dpeaa)DE-206 Mitra, Saptarshi verfasserin (DE-588)1219147966 (DE-627)1734897384 aut Enthalten in Journal of infrastructure development Thousand Oaks, Calif. [u.a.] : Sage, 2009 14(2022), 2 vom: Dez., Seite 91-126 Online-Ressource (DE-627)610940562 (DE-600)2520203-0 (DE-576)312170890 0975-5969 nnns volume:14 year:2022 number:2 month:12 pages:91-126 https://journals.sagepub.com/doi/pdf/10.1177/09749306221140720 Verlag lizenzpflichtig https://doi.org/10.1177/09749306221140720 Resolving-System lizenzpflichtig GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_121 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_165 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2036 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2043 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2093 GBV_ILN_2098 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2125 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2145 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2158 GBV_ILN_2190 GBV_ILN_2193 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2705 GBV_ILN_2889 GBV_ILN_2890 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4277 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_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_4753 AR 14 2022 2 12 91-126 26 01 0206 428886884X x1z 13-03-23 26 00 DE-206 The main aim of the article is to understand the role of physiographical aspects and attributes in the infrastructural development of railway stations. Remote Sensing and Geographical Information System techniques have been used for delineating physiographic factors and data of social interfaces like passengers' mobility collected from the railway stations. A robust Synthetic Indicator has been used to classify railway stations. The ordinal regression model has run between physio-environmental attributes and Robust Synthetic Indicator. Due to its unique valley and ridge topography and newly developed railway infrastructure, Phenomenological evidence is collected from Tripura, North-eastern state of India. Very few studies have been done addressing the development of railway stations with physio-environmental viability. The study reveals that the physical environment is a significant determining factor, but passenger mobility has a more decisive influence on the infrastructural development of railway stations in Tripura. Infrastructure-driven materialistic possibilism has been proposed as a philosophical model of the infrastructural development of railway stations. |
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10.1177/09749306221140720 doi (DE-627)1839051507 (DE-599)KXP1839051507 DE-627 ger DE-627 rda eng Roy, Stabak verfasserin aut Does physio-environmental determinism influence the infrastructural development of railway stations? Stabak Roy and Saptarshi Mitra 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Railway geography (dpeaa)DE-206 railway infrastructure (dpeaa)DE-206 railway transport (dpeaa)DE-206 robust synthetic indicator (dpeaa)DE-206 Mitra, Saptarshi verfasserin (DE-588)1219147966 (DE-627)1734897384 aut Enthalten in Journal of infrastructure development Thousand Oaks, Calif. [u.a.] : Sage, 2009 14(2022), 2 vom: Dez., Seite 91-126 Online-Ressource (DE-627)610940562 (DE-600)2520203-0 (DE-576)312170890 0975-5969 nnns volume:14 year:2022 number:2 month:12 pages:91-126 https://journals.sagepub.com/doi/pdf/10.1177/09749306221140720 Verlag lizenzpflichtig https://doi.org/10.1177/09749306221140720 Resolving-System lizenzpflichtig GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_121 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_165 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2036 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2043 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2093 GBV_ILN_2098 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2125 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2145 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2158 GBV_ILN_2190 GBV_ILN_2193 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2705 GBV_ILN_2889 GBV_ILN_2890 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4277 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_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_4753 AR 14 2022 2 12 91-126 26 01 0206 428886884X x1z 13-03-23 26 00 DE-206 The main aim of the article is to understand the role of physiographical aspects and attributes in the infrastructural development of railway stations. Remote Sensing and Geographical Information System techniques have been used for delineating physiographic factors and data of social interfaces like passengers' mobility collected from the railway stations. A robust Synthetic Indicator has been used to classify railway stations. The ordinal regression model has run between physio-environmental attributes and Robust Synthetic Indicator. Due to its unique valley and ridge topography and newly developed railway infrastructure, Phenomenological evidence is collected from Tripura, North-eastern state of India. Very few studies have been done addressing the development of railway stations with physio-environmental viability. The study reveals that the physical environment is a significant determining factor, but passenger mobility has a more decisive influence on the infrastructural development of railway stations in Tripura. Infrastructure-driven materialistic possibilism has been proposed as a philosophical model of the infrastructural development of railway stations. |
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10.1177/09749306221140720 doi (DE-627)1839051507 (DE-599)KXP1839051507 DE-627 ger DE-627 rda eng Roy, Stabak verfasserin aut Does physio-environmental determinism influence the infrastructural development of railway stations? Stabak Roy and Saptarshi Mitra 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Railway geography (dpeaa)DE-206 railway infrastructure (dpeaa)DE-206 railway transport (dpeaa)DE-206 robust synthetic indicator (dpeaa)DE-206 Mitra, Saptarshi verfasserin (DE-588)1219147966 (DE-627)1734897384 aut Enthalten in Journal of infrastructure development Thousand Oaks, Calif. [u.a.] : Sage, 2009 14(2022), 2 vom: Dez., Seite 91-126 Online-Ressource (DE-627)610940562 (DE-600)2520203-0 (DE-576)312170890 0975-5969 nnns volume:14 year:2022 number:2 month:12 pages:91-126 https://journals.sagepub.com/doi/pdf/10.1177/09749306221140720 Verlag lizenzpflichtig https://doi.org/10.1177/09749306221140720 Resolving-System lizenzpflichtig GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_121 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_165 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2036 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2043 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2093 GBV_ILN_2098 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2125 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2145 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2158 GBV_ILN_2190 GBV_ILN_2193 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2705 GBV_ILN_2889 GBV_ILN_2890 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4277 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_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_4753 AR 14 2022 2 12 91-126 26 01 0206 428886884X x1z 13-03-23 26 00 DE-206 The main aim of the article is to understand the role of physiographical aspects and attributes in the infrastructural development of railway stations. Remote Sensing and Geographical Information System techniques have been used for delineating physiographic factors and data of social interfaces like passengers' mobility collected from the railway stations. A robust Synthetic Indicator has been used to classify railway stations. The ordinal regression model has run between physio-environmental attributes and Robust Synthetic Indicator. Due to its unique valley and ridge topography and newly developed railway infrastructure, Phenomenological evidence is collected from Tripura, North-eastern state of India. Very few studies have been done addressing the development of railway stations with physio-environmental viability. The study reveals that the physical environment is a significant determining factor, but passenger mobility has a more decisive influence on the infrastructural development of railway stations in Tripura. Infrastructure-driven materialistic possibilism has been proposed as a philosophical model of the infrastructural development of railway stations. |
| allfieldsSound |
10.1177/09749306221140720 doi (DE-627)1839051507 (DE-599)KXP1839051507 DE-627 ger DE-627 rda eng Roy, Stabak verfasserin aut Does physio-environmental determinism influence the infrastructural development of railway stations? Stabak Roy and Saptarshi Mitra 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Railway geography (dpeaa)DE-206 railway infrastructure (dpeaa)DE-206 railway transport (dpeaa)DE-206 robust synthetic indicator (dpeaa)DE-206 Mitra, Saptarshi verfasserin (DE-588)1219147966 (DE-627)1734897384 aut Enthalten in Journal of infrastructure development Thousand Oaks, Calif. [u.a.] : Sage, 2009 14(2022), 2 vom: Dez., Seite 91-126 Online-Ressource (DE-627)610940562 (DE-600)2520203-0 (DE-576)312170890 0975-5969 nnns volume:14 year:2022 number:2 month:12 pages:91-126 https://journals.sagepub.com/doi/pdf/10.1177/09749306221140720 Verlag lizenzpflichtig https://doi.org/10.1177/09749306221140720 Resolving-System lizenzpflichtig GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_121 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_165 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2036 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2043 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2093 GBV_ILN_2098 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2125 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2145 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2158 GBV_ILN_2190 GBV_ILN_2193 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2705 GBV_ILN_2889 GBV_ILN_2890 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4277 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_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_4753 AR 14 2022 2 12 91-126 26 01 0206 428886884X x1z 13-03-23 26 00 DE-206 The main aim of the article is to understand the role of physiographical aspects and attributes in the infrastructural development of railway stations. Remote Sensing and Geographical Information System techniques have been used for delineating physiographic factors and data of social interfaces like passengers' mobility collected from the railway stations. A robust Synthetic Indicator has been used to classify railway stations. The ordinal regression model has run between physio-environmental attributes and Robust Synthetic Indicator. Due to its unique valley and ridge topography and newly developed railway infrastructure, Phenomenological evidence is collected from Tripura, North-eastern state of India. Very few studies have been done addressing the development of railway stations with physio-environmental viability. The study reveals that the physical environment is a significant determining factor, but passenger mobility has a more decisive influence on the infrastructural development of railway stations in Tripura. Infrastructure-driven materialistic possibilism has been proposed as a philosophical model of the infrastructural development of railway stations. |
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Enthalten in Journal of infrastructure development 14(2022), 2 vom: Dez., Seite 91-126 volume:14 year:2022 number:2 month:12 pages:91-126 |
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code="j">2022</subfield><subfield code="e">2</subfield><subfield code="c">12</subfield><subfield code="h">91-126</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">26</subfield><subfield code="1">01</subfield><subfield code="x">0206</subfield><subfield code="b">428886884X</subfield><subfield code="y">x1z</subfield><subfield code="z">13-03-23</subfield></datafield><datafield tag="982" ind1=" " ind2=" "><subfield code="2">26</subfield><subfield code="1">00</subfield><subfield code="x">DE-206</subfield><subfield code="b">The main aim of the article is to understand the role of physiographical aspects and attributes in the infrastructural development of railway stations. Remote Sensing and Geographical Information System techniques have been used for delineating physiographic factors and data of social interfaces like passengers' mobility collected from the railway stations. A robust Synthetic Indicator has been used to classify railway stations. The ordinal regression model has run between physio-environmental attributes and Robust Synthetic Indicator. Due to its unique valley and ridge topography and newly developed railway infrastructure, Phenomenological evidence is collected from Tripura, North-eastern state of India. Very few studies have been done addressing the development of railway stations with physio-environmental viability. The study reveals that the physical environment is a significant determining factor, but passenger mobility has a more decisive influence on the infrastructural development of railway stations in Tripura. Infrastructure-driven materialistic possibilism has been proposed as a philosophical model of the infrastructural development of railway stations.</subfield></datafield></record></collection>
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Roy, Stabak |
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Roy, Stabak misc Railway geography misc railway infrastructure misc railway transport misc robust synthetic indicator Does physio-environmental determinism influence the infrastructural development of railway stations? |
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26 00 DE-206 The main aim of the article is to understand the role of physiographical aspects and attributes in the infrastructural development of railway stations. Remote Sensing and Geographical Information System techniques have been used for delineating physiographic factors and data of social interfaces like passengers' mobility collected from the railway stations. A robust Synthetic Indicator has been used to classify railway stations. The ordinal regression model has run between physio-environmental attributes and Robust Synthetic Indicator. Due to its unique valley and ridge topography and newly developed railway infrastructure, Phenomenological evidence is collected from Tripura, North-eastern state of India. Very few studies have been done addressing the development of railway stations with physio-environmental viability. The study reveals that the physical environment is a significant determining factor, but passenger mobility has a more decisive influence on the infrastructural development of railway stations in Tripura. Infrastructure-driven materialistic possibilism has been proposed as a philosophical model of the infrastructural development of railway stations Does physio-environmental determinism influence the infrastructural development of railway stations? Stabak Roy and Saptarshi Mitra Railway geography (dpeaa)DE-206 railway infrastructure (dpeaa)DE-206 railway transport (dpeaa)DE-206 robust synthetic indicator (dpeaa)DE-206 |
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ind1=" " ind2=" "><subfield code="a">GBV_ILN_4328</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4333</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4335</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4346</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4393</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4753</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">14</subfield><subfield code="j">2022</subfield><subfield code="e">2</subfield><subfield code="c">12</subfield><subfield code="h">91-126</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">26</subfield><subfield code="1">01</subfield><subfield code="x">0206</subfield><subfield code="b">428886884X</subfield><subfield code="y">x1z</subfield><subfield code="z">13-03-23</subfield></datafield><datafield tag="982" ind1=" " ind2=" "><subfield code="2">26</subfield><subfield code="1">00</subfield><subfield code="x">DE-206</subfield><subfield code="b">The main aim of the article is to understand the role of physiographical aspects and attributes in the infrastructural development of railway stations. Remote Sensing and Geographical Information System techniques have been used for delineating physiographic factors and data of social interfaces like passengers' mobility collected from the railway stations. A robust Synthetic Indicator has been used to classify railway stations. The ordinal regression model has run between physio-environmental attributes and Robust Synthetic Indicator. Due to its unique valley and ridge topography and newly developed railway infrastructure, Phenomenological evidence is collected from Tripura, North-eastern state of India. Very few studies have been done addressing the development of railway stations with physio-environmental viability. The study reveals that the physical environment is a significant determining factor, but passenger mobility has a more decisive influence on the infrastructural development of railway stations in Tripura. Infrastructure-driven materialistic possibilism has been proposed as a philosophical model of the infrastructural development of railway stations.</subfield></datafield></record></collection>
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| score |
7.399496 |