Experiment on Activity-travel Survey System based on Scheduling System

• Item type: Journal(1)
• 公開日: 2014-04-15
• タイトル: Experiment on Activity-travel Survey System based on Scheduling System
• タイトル / 言語: en
• タイトル: Experiment on Activity-travel Survey System based on Scheduling System
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: [特集：Multiagent-based Societal Systems] scheduling, travel plan, activity-travel survey
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_6501
• 資源タイプ: journal article
• 著者所属: Nagoya Institute of Technology／Department of Computer Science
• 著者所属: Nagoya Institute of Technology／Graduate School of Engineering
• 著者所属: Nagoya Institute of Technology／Graduate School of Engineering／School of Techno-Business Administration
• 著者所属(英): en
• 著者所属(英): Nagoya Institute of Technology / Department of Computer Science
• 著者所属(英): en
• 著者所属(英): Nagoya Institute of Technology / Graduate School of Engineering
• 著者所属(英): en
• 著者所属(英): Nagoya Institute of Technology / Graduate School of Engineering / School of Techno-Business Administration
• 著者名: Satoshi, Takahira; Ryo, Kanamori; Takayuki, Ito
• 著者名(英): Satoshi, Takahira; Ryo, Kanamori; Takayuki, Ito
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: To discuss or evaluate certain policies for a smart city (e.g., urban transportation systems), it is effective to develop an agent-based simulation that can reproduce an individual's travel behavior and social interaction. Here, activity-travel data is needed to develop a behavior model. However, it is difficult to collect such data over a long time period due to a heavy burden on subjects of the survey. This study proposes a web system to collect an individual's schedule data easily from travel information. Our proposed system has two key characteristics: 1) travel information (e.g., which route is best at a particular time) is recommended automatically based on the concept of a prism when the user enters a new schedule, 2) researchers can utilize users' schedule information as activity-travel data without conducting a special survey. We tested the system with students as users, who expressed satisfaction with the system's usability as well as operability.; ------------------------------; This is a preprint of an article intended for publication Journal of; Information Processing(JIP). This preprint should not be cited. This; article should be cited as: Journal of Information Processing Vol.22(2014) No.2 (online); DOI http://dx.doi.org/10.2197/ipsjjip.22.263; ------------------------------
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: To discuss or evaluate certain policies for a smart city (e.g., urban transportation systems), it is effective to develop an agent-based simulation that can reproduce an individual's travel behavior and social interaction. Here, activity-travel data is needed to develop a behavior model. However, it is difficult to collect such data over a long time period due to a heavy burden on subjects of the survey. This study proposes a web system to collect an individual's schedule data easily from travel information. Our proposed system has two key characteristics: 1) travel information (e.g., which route is best at a particular time) is recommended automatically based on the concept of a prism when the user enters a new schedule, 2) researchers can utilize users' schedule information as activity-travel data without conducting a special survey. We tested the system with students as users, who expressed satisfaction with the system's usability as well as operability.; ------------------------------; This is a preprint of an article intended for publication Journal of; Information Processing(JIP). This preprint should not be cited. This; article should be cited as: Journal of Information Processing Vol.22(2014) No.2 (online); DOI http://dx.doi.org/10.2197/ipsjjip.22.263; ------------------------------
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AN00116647
• 書誌情報: 情報処理学会論文誌; 巻 55, 号 4, 発行日 2014-04-15
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 1882-7764