Analysis of dynamic decision-making in a bicycle-sharing auction using a dynamic discrete choice model
Abstract For clarifying the usefulness and practical issues of a tradable permit system empirically, we implemented a tradable permit system for a bicycle-sharing service in Yokohama city, Japan. We analyzed both travel and transaction behavior within this system. Many activity factors, such as the...
Ausführliche Beschreibung
Autor*in: |
Hara, Yusuke [verfasserIn] |
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Artikel |
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Sprache: |
Englisch |
Erschienen: |
2017 |
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Schlagwörter: |
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Anmerkung: |
© The Author(s) 2017 |
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Übergeordnetes Werk: |
Enthalten in: Transportation - Springer US, 1972, 46(2017), 1 vom: 11. Juli, Seite 147-173 |
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Übergeordnetes Werk: |
volume:46 ; year:2017 ; number:1 ; day:11 ; month:07 ; pages:147-173 |
Links: |
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DOI / URN: |
10.1007/s11116-017-9795-x |
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Katalog-ID: |
OLC2035097835 |
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10.1007/s11116-017-9795-x doi (DE-627)OLC2035097835 (DE-He213)s11116-017-9795-x-p DE-627 ger DE-627 rakwb eng 380 VZ Hara, Yusuke verfasserin (orcid)0000-0003-0268-9908 aut Analysis of dynamic decision-making in a bicycle-sharing auction using a dynamic discrete choice model 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s) 2017 Abstract For clarifying the usefulness and practical issues of a tradable permit system empirically, we implemented a tradable permit system for a bicycle-sharing service in Yokohama city, Japan. We analyzed both travel and transaction behavior within this system. Many activity factors, such as the amount of free time in each day, home location and travel mode to the bicycle port, were shown to affect the transaction of tradable permits. The results of the pilot program indicated that inefficient allocation of tradable permits occurred when participants postponed their decision-making because of uncertainty. To determine the reason for this effect and the contributing factors, we created a dynamic discrete choice model to describe the choice results and timing. The estimation result indicated that the option value of postponing decision-making caused the transactions to be performed at the last minute, and that this effect blocked the liquidity of the permits trade. In addition, because the result reveals that there was heterogeneity in the time discount factor, the initial allocation of permits was found to be important for efficient allocation. Dynamic discrete choice model Tradable permit system Dynamics of travel behavior Bicycle-sharing system Hato, Eiji aut Enthalten in Transportation Springer US, 1972 46(2017), 1 vom: 11. Juli, Seite 147-173 (DE-627)129299804 (DE-600)121857-8 (DE-576)014492407 0049-4488 nnns volume:46 year:2017 number:1 day:11 month:07 pages:147-173 https://doi.org/10.1007/s11116-017-9795-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-GEO SSG-OLC-WIW GBV_ILN_26 GBV_ILN_70 GBV_ILN_4012 GBV_ILN_4046 AR 46 2017 1 11 07 147-173 |
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10.1007/s11116-017-9795-x doi (DE-627)OLC2035097835 (DE-He213)s11116-017-9795-x-p DE-627 ger DE-627 rakwb eng 380 VZ Hara, Yusuke verfasserin (orcid)0000-0003-0268-9908 aut Analysis of dynamic decision-making in a bicycle-sharing auction using a dynamic discrete choice model 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s) 2017 Abstract For clarifying the usefulness and practical issues of a tradable permit system empirically, we implemented a tradable permit system for a bicycle-sharing service in Yokohama city, Japan. We analyzed both travel and transaction behavior within this system. Many activity factors, such as the amount of free time in each day, home location and travel mode to the bicycle port, were shown to affect the transaction of tradable permits. The results of the pilot program indicated that inefficient allocation of tradable permits occurred when participants postponed their decision-making because of uncertainty. To determine the reason for this effect and the contributing factors, we created a dynamic discrete choice model to describe the choice results and timing. The estimation result indicated that the option value of postponing decision-making caused the transactions to be performed at the last minute, and that this effect blocked the liquidity of the permits trade. In addition, because the result reveals that there was heterogeneity in the time discount factor, the initial allocation of permits was found to be important for efficient allocation. Dynamic discrete choice model Tradable permit system Dynamics of travel behavior Bicycle-sharing system Hato, Eiji aut Enthalten in Transportation Springer US, 1972 46(2017), 1 vom: 11. Juli, Seite 147-173 (DE-627)129299804 (DE-600)121857-8 (DE-576)014492407 0049-4488 nnns volume:46 year:2017 number:1 day:11 month:07 pages:147-173 https://doi.org/10.1007/s11116-017-9795-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-GEO SSG-OLC-WIW GBV_ILN_26 GBV_ILN_70 GBV_ILN_4012 GBV_ILN_4046 AR 46 2017 1 11 07 147-173 |
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10.1007/s11116-017-9795-x doi (DE-627)OLC2035097835 (DE-He213)s11116-017-9795-x-p DE-627 ger DE-627 rakwb eng 380 VZ Hara, Yusuke verfasserin (orcid)0000-0003-0268-9908 aut Analysis of dynamic decision-making in a bicycle-sharing auction using a dynamic discrete choice model 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s) 2017 Abstract For clarifying the usefulness and practical issues of a tradable permit system empirically, we implemented a tradable permit system for a bicycle-sharing service in Yokohama city, Japan. We analyzed both travel and transaction behavior within this system. Many activity factors, such as the amount of free time in each day, home location and travel mode to the bicycle port, were shown to affect the transaction of tradable permits. The results of the pilot program indicated that inefficient allocation of tradable permits occurred when participants postponed their decision-making because of uncertainty. To determine the reason for this effect and the contributing factors, we created a dynamic discrete choice model to describe the choice results and timing. The estimation result indicated that the option value of postponing decision-making caused the transactions to be performed at the last minute, and that this effect blocked the liquidity of the permits trade. In addition, because the result reveals that there was heterogeneity in the time discount factor, the initial allocation of permits was found to be important for efficient allocation. Dynamic discrete choice model Tradable permit system Dynamics of travel behavior Bicycle-sharing system Hato, Eiji aut Enthalten in Transportation Springer US, 1972 46(2017), 1 vom: 11. Juli, Seite 147-173 (DE-627)129299804 (DE-600)121857-8 (DE-576)014492407 0049-4488 nnns volume:46 year:2017 number:1 day:11 month:07 pages:147-173 https://doi.org/10.1007/s11116-017-9795-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-GEO SSG-OLC-WIW GBV_ILN_26 GBV_ILN_70 GBV_ILN_4012 GBV_ILN_4046 AR 46 2017 1 11 07 147-173 |
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10.1007/s11116-017-9795-x doi (DE-627)OLC2035097835 (DE-He213)s11116-017-9795-x-p DE-627 ger DE-627 rakwb eng 380 VZ Hara, Yusuke verfasserin (orcid)0000-0003-0268-9908 aut Analysis of dynamic decision-making in a bicycle-sharing auction using a dynamic discrete choice model 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s) 2017 Abstract For clarifying the usefulness and practical issues of a tradable permit system empirically, we implemented a tradable permit system for a bicycle-sharing service in Yokohama city, Japan. We analyzed both travel and transaction behavior within this system. Many activity factors, such as the amount of free time in each day, home location and travel mode to the bicycle port, were shown to affect the transaction of tradable permits. The results of the pilot program indicated that inefficient allocation of tradable permits occurred when participants postponed their decision-making because of uncertainty. To determine the reason for this effect and the contributing factors, we created a dynamic discrete choice model to describe the choice results and timing. The estimation result indicated that the option value of postponing decision-making caused the transactions to be performed at the last minute, and that this effect blocked the liquidity of the permits trade. In addition, because the result reveals that there was heterogeneity in the time discount factor, the initial allocation of permits was found to be important for efficient allocation. Dynamic discrete choice model Tradable permit system Dynamics of travel behavior Bicycle-sharing system Hato, Eiji aut Enthalten in Transportation Springer US, 1972 46(2017), 1 vom: 11. Juli, Seite 147-173 (DE-627)129299804 (DE-600)121857-8 (DE-576)014492407 0049-4488 nnns volume:46 year:2017 number:1 day:11 month:07 pages:147-173 https://doi.org/10.1007/s11116-017-9795-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-GEO SSG-OLC-WIW GBV_ILN_26 GBV_ILN_70 GBV_ILN_4012 GBV_ILN_4046 AR 46 2017 1 11 07 147-173 |
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10.1007/s11116-017-9795-x doi (DE-627)OLC2035097835 (DE-He213)s11116-017-9795-x-p DE-627 ger DE-627 rakwb eng 380 VZ Hara, Yusuke verfasserin (orcid)0000-0003-0268-9908 aut Analysis of dynamic decision-making in a bicycle-sharing auction using a dynamic discrete choice model 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s) 2017 Abstract For clarifying the usefulness and practical issues of a tradable permit system empirically, we implemented a tradable permit system for a bicycle-sharing service in Yokohama city, Japan. We analyzed both travel and transaction behavior within this system. Many activity factors, such as the amount of free time in each day, home location and travel mode to the bicycle port, were shown to affect the transaction of tradable permits. The results of the pilot program indicated that inefficient allocation of tradable permits occurred when participants postponed their decision-making because of uncertainty. To determine the reason for this effect and the contributing factors, we created a dynamic discrete choice model to describe the choice results and timing. The estimation result indicated that the option value of postponing decision-making caused the transactions to be performed at the last minute, and that this effect blocked the liquidity of the permits trade. In addition, because the result reveals that there was heterogeneity in the time discount factor, the initial allocation of permits was found to be important for efficient allocation. Dynamic discrete choice model Tradable permit system Dynamics of travel behavior Bicycle-sharing system Hato, Eiji aut Enthalten in Transportation Springer US, 1972 46(2017), 1 vom: 11. Juli, Seite 147-173 (DE-627)129299804 (DE-600)121857-8 (DE-576)014492407 0049-4488 nnns volume:46 year:2017 number:1 day:11 month:07 pages:147-173 https://doi.org/10.1007/s11116-017-9795-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-GEO SSG-OLC-WIW GBV_ILN_26 GBV_ILN_70 GBV_ILN_4012 GBV_ILN_4046 AR 46 2017 1 11 07 147-173 |
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Analysis of dynamic decision-making in a bicycle-sharing auction using a dynamic discrete choice model |
abstract |
Abstract For clarifying the usefulness and practical issues of a tradable permit system empirically, we implemented a tradable permit system for a bicycle-sharing service in Yokohama city, Japan. We analyzed both travel and transaction behavior within this system. Many activity factors, such as the amount of free time in each day, home location and travel mode to the bicycle port, were shown to affect the transaction of tradable permits. The results of the pilot program indicated that inefficient allocation of tradable permits occurred when participants postponed their decision-making because of uncertainty. To determine the reason for this effect and the contributing factors, we created a dynamic discrete choice model to describe the choice results and timing. The estimation result indicated that the option value of postponing decision-making caused the transactions to be performed at the last minute, and that this effect blocked the liquidity of the permits trade. In addition, because the result reveals that there was heterogeneity in the time discount factor, the initial allocation of permits was found to be important for efficient allocation. © The Author(s) 2017 |
abstractGer |
Abstract For clarifying the usefulness and practical issues of a tradable permit system empirically, we implemented a tradable permit system for a bicycle-sharing service in Yokohama city, Japan. We analyzed both travel and transaction behavior within this system. Many activity factors, such as the amount of free time in each day, home location and travel mode to the bicycle port, were shown to affect the transaction of tradable permits. The results of the pilot program indicated that inefficient allocation of tradable permits occurred when participants postponed their decision-making because of uncertainty. To determine the reason for this effect and the contributing factors, we created a dynamic discrete choice model to describe the choice results and timing. The estimation result indicated that the option value of postponing decision-making caused the transactions to be performed at the last minute, and that this effect blocked the liquidity of the permits trade. In addition, because the result reveals that there was heterogeneity in the time discount factor, the initial allocation of permits was found to be important for efficient allocation. © The Author(s) 2017 |
abstract_unstemmed |
Abstract For clarifying the usefulness and practical issues of a tradable permit system empirically, we implemented a tradable permit system for a bicycle-sharing service in Yokohama city, Japan. We analyzed both travel and transaction behavior within this system. Many activity factors, such as the amount of free time in each day, home location and travel mode to the bicycle port, were shown to affect the transaction of tradable permits. The results of the pilot program indicated that inefficient allocation of tradable permits occurred when participants postponed their decision-making because of uncertainty. To determine the reason for this effect and the contributing factors, we created a dynamic discrete choice model to describe the choice results and timing. The estimation result indicated that the option value of postponing decision-making caused the transactions to be performed at the last minute, and that this effect blocked the liquidity of the permits trade. In addition, because the result reveals that there was heterogeneity in the time discount factor, the initial allocation of permits was found to be important for efficient allocation. © The Author(s) 2017 |
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title_short |
Analysis of dynamic decision-making in a bicycle-sharing auction using a dynamic discrete choice model |
url |
https://doi.org/10.1007/s11116-017-9795-x |
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author2 |
Hato, Eiji |
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Hato, Eiji |
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doi_str |
10.1007/s11116-017-9795-x |
up_date |
2024-07-03T23:48:15.478Z |
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