Utilizing mobile phone-based floating population data to measure the spatial accessibility to public transit
Spatial accessibility to public transit changes with population shifts during the day in association with time-varying transit supply levels. In this study, we propose a strategy for the utilization of mobile phone-based floating population data to measure the accessibility to public transit. We use...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Lee, Won Kyung [verfasserIn] |
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| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2018transfer abstract |
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| Schlagwörter: |
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| Umfang: |
8 |
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| Übergeordnetes Werk: |
Enthalten in: Tau kinetics in the human cns - Sato, Chihiro ELSEVIER, 2015, putting the world's human and physical resource problems in a geographical perspective, New York, NY [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:92 ; year:2018 ; pages:123-130 ; extent:8 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.apgeog.2018.02.003 |
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ELV042122368 |
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| 520 | |a Spatial accessibility to public transit changes with population shifts during the day in association with time-varying transit supply levels. In this study, we propose a strategy for the utilization of mobile phone-based floating population data to measure the accessibility to public transit. We used the Huff model-based, floating catchment area method to measure the time-varying accessibility in Seoul, Korea, during rush-hours and late night hours. We compared the floating population-based access measures with the census data for these hours. Our results imply that utilization of the phone-based floating population data can provide reliable and fine-grained results in cases of evening rush hour and late night hours. Therefore, it can replace static census data typically used for the estimation of the accessibility index. | ||
| 520 | |a Spatial accessibility to public transit changes with population shifts during the day in association with time-varying transit supply levels. In this study, we propose a strategy for the utilization of mobile phone-based floating population data to measure the accessibility to public transit. We used the Huff model-based, floating catchment area method to measure the time-varying accessibility in Seoul, Korea, during rush-hours and late night hours. We compared the floating population-based access measures with the census data for these hours. Our results imply that utilization of the phone-based floating population data can provide reliable and fine-grained results in cases of evening rush hour and late night hours. Therefore, it can replace static census data typically used for the estimation of the accessibility index. | ||
| 650 | 7 | |a Floating catchment area |2 Elsevier | |
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| 700 | 1 | |a Heo, Joon |4 oth | |
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10.1016/j.apgeog.2018.02.003 doi GBV00000000000150A.pica (DE-627)ELV042122368 (ELSEVIER)S0143-6228(17)31013-5 DE-627 ger DE-627 rakwb eng 910 910 DNB 610 VZ 530 VZ 52.56 bkl Lee, Won Kyung verfasserin aut Utilizing mobile phone-based floating population data to measure the spatial accessibility to public transit 2018transfer abstract 8 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Spatial accessibility to public transit changes with population shifts during the day in association with time-varying transit supply levels. In this study, we propose a strategy for the utilization of mobile phone-based floating population data to measure the accessibility to public transit. We used the Huff model-based, floating catchment area method to measure the time-varying accessibility in Seoul, Korea, during rush-hours and late night hours. We compared the floating population-based access measures with the census data for these hours. Our results imply that utilization of the phone-based floating population data can provide reliable and fine-grained results in cases of evening rush hour and late night hours. Therefore, it can replace static census data typically used for the estimation of the accessibility index. Spatial accessibility to public transit changes with population shifts during the day in association with time-varying transit supply levels. In this study, we propose a strategy for the utilization of mobile phone-based floating population data to measure the accessibility to public transit. We used the Huff model-based, floating catchment area method to measure the time-varying accessibility in Seoul, Korea, during rush-hours and late night hours. We compared the floating population-based access measures with the census data for these hours. Our results imply that utilization of the phone-based floating population data can provide reliable and fine-grained results in cases of evening rush hour and late night hours. Therefore, it can replace static census data typically used for the estimation of the accessibility index. Floating catchment area Elsevier Public transit Elsevier Floating population Elsevier Spatial accessibility Elsevier Public transportation Elsevier Sohn, So Young oth Heo, Joon oth Enthalten in Elsevier Sato, Chihiro ELSEVIER Tau kinetics in the human cns 2015 putting the world's human and physical resource problems in a geographical perspective New York, NY [u.a.] (DE-627)ELV01283484X volume:92 year:2018 pages:123-130 extent:8 https://doi.org/10.1016/j.apgeog.2018.02.003 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_11 GBV_ILN_20 GBV_ILN_70 GBV_ILN_2547 52.56 Regenerative Energieformen alternative Energieformen VZ AR 92 2018 123-130 8 045F 910 |
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10.1016/j.apgeog.2018.02.003 doi GBV00000000000150A.pica (DE-627)ELV042122368 (ELSEVIER)S0143-6228(17)31013-5 DE-627 ger DE-627 rakwb eng 910 910 DNB 610 VZ 530 VZ 52.56 bkl Lee, Won Kyung verfasserin aut Utilizing mobile phone-based floating population data to measure the spatial accessibility to public transit 2018transfer abstract 8 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Spatial accessibility to public transit changes with population shifts during the day in association with time-varying transit supply levels. In this study, we propose a strategy for the utilization of mobile phone-based floating population data to measure the accessibility to public transit. We used the Huff model-based, floating catchment area method to measure the time-varying accessibility in Seoul, Korea, during rush-hours and late night hours. We compared the floating population-based access measures with the census data for these hours. Our results imply that utilization of the phone-based floating population data can provide reliable and fine-grained results in cases of evening rush hour and late night hours. Therefore, it can replace static census data typically used for the estimation of the accessibility index. Spatial accessibility to public transit changes with population shifts during the day in association with time-varying transit supply levels. In this study, we propose a strategy for the utilization of mobile phone-based floating population data to measure the accessibility to public transit. We used the Huff model-based, floating catchment area method to measure the time-varying accessibility in Seoul, Korea, during rush-hours and late night hours. We compared the floating population-based access measures with the census data for these hours. Our results imply that utilization of the phone-based floating population data can provide reliable and fine-grained results in cases of evening rush hour and late night hours. Therefore, it can replace static census data typically used for the estimation of the accessibility index. Floating catchment area Elsevier Public transit Elsevier Floating population Elsevier Spatial accessibility Elsevier Public transportation Elsevier Sohn, So Young oth Heo, Joon oth Enthalten in Elsevier Sato, Chihiro ELSEVIER Tau kinetics in the human cns 2015 putting the world's human and physical resource problems in a geographical perspective New York, NY [u.a.] (DE-627)ELV01283484X volume:92 year:2018 pages:123-130 extent:8 https://doi.org/10.1016/j.apgeog.2018.02.003 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_11 GBV_ILN_20 GBV_ILN_70 GBV_ILN_2547 52.56 Regenerative Energieformen alternative Energieformen VZ AR 92 2018 123-130 8 045F 910 |
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10.1016/j.apgeog.2018.02.003 doi GBV00000000000150A.pica (DE-627)ELV042122368 (ELSEVIER)S0143-6228(17)31013-5 DE-627 ger DE-627 rakwb eng 910 910 DNB 610 VZ 530 VZ 52.56 bkl Lee, Won Kyung verfasserin aut Utilizing mobile phone-based floating population data to measure the spatial accessibility to public transit 2018transfer abstract 8 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Spatial accessibility to public transit changes with population shifts during the day in association with time-varying transit supply levels. In this study, we propose a strategy for the utilization of mobile phone-based floating population data to measure the accessibility to public transit. We used the Huff model-based, floating catchment area method to measure the time-varying accessibility in Seoul, Korea, during rush-hours and late night hours. We compared the floating population-based access measures with the census data for these hours. Our results imply that utilization of the phone-based floating population data can provide reliable and fine-grained results in cases of evening rush hour and late night hours. Therefore, it can replace static census data typically used for the estimation of the accessibility index. Spatial accessibility to public transit changes with population shifts during the day in association with time-varying transit supply levels. In this study, we propose a strategy for the utilization of mobile phone-based floating population data to measure the accessibility to public transit. We used the Huff model-based, floating catchment area method to measure the time-varying accessibility in Seoul, Korea, during rush-hours and late night hours. We compared the floating population-based access measures with the census data for these hours. Our results imply that utilization of the phone-based floating population data can provide reliable and fine-grained results in cases of evening rush hour and late night hours. Therefore, it can replace static census data typically used for the estimation of the accessibility index. Floating catchment area Elsevier Public transit Elsevier Floating population Elsevier Spatial accessibility Elsevier Public transportation Elsevier Sohn, So Young oth Heo, Joon oth Enthalten in Elsevier Sato, Chihiro ELSEVIER Tau kinetics in the human cns 2015 putting the world's human and physical resource problems in a geographical perspective New York, NY [u.a.] (DE-627)ELV01283484X volume:92 year:2018 pages:123-130 extent:8 https://doi.org/10.1016/j.apgeog.2018.02.003 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_11 GBV_ILN_20 GBV_ILN_70 GBV_ILN_2547 52.56 Regenerative Energieformen alternative Energieformen VZ AR 92 2018 123-130 8 045F 910 |
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10.1016/j.apgeog.2018.02.003 doi GBV00000000000150A.pica (DE-627)ELV042122368 (ELSEVIER)S0143-6228(17)31013-5 DE-627 ger DE-627 rakwb eng 910 910 DNB 610 VZ 530 VZ 52.56 bkl Lee, Won Kyung verfasserin aut Utilizing mobile phone-based floating population data to measure the spatial accessibility to public transit 2018transfer abstract 8 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Spatial accessibility to public transit changes with population shifts during the day in association with time-varying transit supply levels. In this study, we propose a strategy for the utilization of mobile phone-based floating population data to measure the accessibility to public transit. We used the Huff model-based, floating catchment area method to measure the time-varying accessibility in Seoul, Korea, during rush-hours and late night hours. We compared the floating population-based access measures with the census data for these hours. Our results imply that utilization of the phone-based floating population data can provide reliable and fine-grained results in cases of evening rush hour and late night hours. Therefore, it can replace static census data typically used for the estimation of the accessibility index. Spatial accessibility to public transit changes with population shifts during the day in association with time-varying transit supply levels. In this study, we propose a strategy for the utilization of mobile phone-based floating population data to measure the accessibility to public transit. We used the Huff model-based, floating catchment area method to measure the time-varying accessibility in Seoul, Korea, during rush-hours and late night hours. We compared the floating population-based access measures with the census data for these hours. Our results imply that utilization of the phone-based floating population data can provide reliable and fine-grained results in cases of evening rush hour and late night hours. Therefore, it can replace static census data typically used for the estimation of the accessibility index. Floating catchment area Elsevier Public transit Elsevier Floating population Elsevier Spatial accessibility Elsevier Public transportation Elsevier Sohn, So Young oth Heo, Joon oth Enthalten in Elsevier Sato, Chihiro ELSEVIER Tau kinetics in the human cns 2015 putting the world's human and physical resource problems in a geographical perspective New York, NY [u.a.] (DE-627)ELV01283484X volume:92 year:2018 pages:123-130 extent:8 https://doi.org/10.1016/j.apgeog.2018.02.003 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_11 GBV_ILN_20 GBV_ILN_70 GBV_ILN_2547 52.56 Regenerative Energieformen alternative Energieformen VZ AR 92 2018 123-130 8 045F 910 |
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Utilizing mobile phone-based floating population data to measure the spatial accessibility to public transit |
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utilizing mobile phone-based floating population data to measure the spatial accessibility to public transit |
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Utilizing mobile phone-based floating population data to measure the spatial accessibility to public transit |
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Spatial accessibility to public transit changes with population shifts during the day in association with time-varying transit supply levels. In this study, we propose a strategy for the utilization of mobile phone-based floating population data to measure the accessibility to public transit. We used the Huff model-based, floating catchment area method to measure the time-varying accessibility in Seoul, Korea, during rush-hours and late night hours. We compared the floating population-based access measures with the census data for these hours. Our results imply that utilization of the phone-based floating population data can provide reliable and fine-grained results in cases of evening rush hour and late night hours. Therefore, it can replace static census data typically used for the estimation of the accessibility index. |
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Spatial accessibility to public transit changes with population shifts during the day in association with time-varying transit supply levels. In this study, we propose a strategy for the utilization of mobile phone-based floating population data to measure the accessibility to public transit. We used the Huff model-based, floating catchment area method to measure the time-varying accessibility in Seoul, Korea, during rush-hours and late night hours. We compared the floating population-based access measures with the census data for these hours. Our results imply that utilization of the phone-based floating population data can provide reliable and fine-grained results in cases of evening rush hour and late night hours. Therefore, it can replace static census data typically used for the estimation of the accessibility index. |
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Spatial accessibility to public transit changes with population shifts during the day in association with time-varying transit supply levels. In this study, we propose a strategy for the utilization of mobile phone-based floating population data to measure the accessibility to public transit. We used the Huff model-based, floating catchment area method to measure the time-varying accessibility in Seoul, Korea, during rush-hours and late night hours. We compared the floating population-based access measures with the census data for these hours. Our results imply that utilization of the phone-based floating population data can provide reliable and fine-grained results in cases of evening rush hour and late night hours. Therefore, it can replace static census data typically used for the estimation of the accessibility index. |
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Utilizing mobile phone-based floating population data to measure the spatial accessibility to public transit |
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