Fujimoto Yuki

In road management, it is necessary to detect diverse phenomena such as traffic accidents and congestion and take measures including traffic regulations flexibly. Road administrators have been monitoring road traffic conditions daily, for example, through cameras installed on the roads or by patrols. However, there is a possibility that they may not be able to grasp the conditions during large-scale disasters as such equipment may break down. As a measure to deal with the situation, there are cases in recent years that road administrators analyze real-time information related to traffic phenomena posted to SNS (social network services). The contents posted to SNS contain microbloggers' purposes of travel or thoughts and impressions that are hard to collect with the present monitoring methods or statistical survey. Based on this, if a measure to utilize highly reliable post contents is established, advancement of road management can be expected. In this study, a method for analyzing reliability of microbloggers by classifying them into four quadrants is devised using the number of SNS entries posted by road users regarding a specific road and habitual behavior that can be analyzed from their past posting tendencies. The result shows that the microbloggers who are judged as reliable by the proposed method have a tendency to post useful information related to traffic phenomena. Then potential for making good use of SNS in road management is discussed using the outcome of the proposed method.

In road projects, the Administrators have drawn the Business Continuity Plan (BCP) on the assumption that a large-scale disaster occurs. And based on this robust disaster prevention system, they have been working on maintenance and management of roads every day. To improve their work, we focus on SNS which has latent information can be used for grasping road’s status when a disaster occurs. In this research, in order to complement and expand existed information collecting systems owned by road administrators, we report the result of speedily collecting and analyzing technologies for the road information like disaster from SNS. In this paper, we conclude all results obtained from studies in the 3-years-plan targeting Hanshin expressway.

<p>The market scale of e-commerce sites is expanding, and the number of e-commerce sites is increasing. In such a situation, it is important to analyze what kind of products and information they are interested to do marketing. It's said that interest in specific products are correlated with reading and reading hours, based on them. However, the contents vary depending on each page, so even if the number of browsing is the same, there are differences in the information that a user has acquired. It is necessary to extract the interest and interest after considering the information collected by the users. Therefore, in this research, we considering the access page and the content of access, we will devise a method to estimate the possibility of purchasing and evaluate the effectiveness.</p>

&nbsp;In road traffic analysis, it has become possible to make a qualitative analysis by extracting road users' comments from microblogs, in addition to a quantitative analysis using the data obtained from diverse instruments installed on roads. Bearing utilization in abnormal situations in mind, it is necessary for the road administrator to be able to extract only highly authentic posts out of various posts instantly; however, since anyone can post microblogs freely, the authenticity of each post is unclear. This characteristic is harmful in utilizing microblogs in abnormal situations. In this research, a method for extracting the posters of authentic articles related to traffic phenomena was devised in terms of the poster's attribute and posting tendency, and its usefulness was verified.

道路交通分析において，道路上に設置された様々な機器のデータを用いた定量的な分析に加えて，マイクロブログから道路利用者の意見を抽出する定性的な分析が行えるようになってきた．しかし，マイクロブログは誰もが自由に投稿できるため，各投稿の信頼性が不明である．<br /> 本研究では，信頼性の観点からTwitterのツイート内容を分析し，道路管理で有用なツイートを抽出するための信頼性分析手法を考案し，その有用性を検証した．

2016年4月に発生した熊本地震において，避難所や給水所の情報がリアルタイムで提供されるなど，災害発生時の状況把握の手段としてマイクロブログが活用された．しかし，情報の錯綜により，避難所への救援物資の供給が偏る事態も発生し，マイクロブログによる状況の把握には課題が見られた．そのため，リアルタイムに避難所や給水所の状況を把握する新たな仕組みが求められている．そこで，本研究では，行政から発信される避難所や給水所の情報をGISで提示するとともに，マイクロブログの情報を解析し，最新情報を整理して被災者と被災地支援者に役立つ情報を発信するリアルタイム災害支援マップの構築手法を提案する．

Information gathering from microblog is utilized in various fields such as grasping the damage of large-scale disasters. Since there are differences in the importance of tweets, it is necessary to preferentially collect important tweets. In this research, focused on contributors of tweets and devised an efficient information gathering method and examined its usefulness.

Traffic phenomena including accidents occur daily on the Japanese road network. Surveillance cameras and traffic counters are used to monitor them; however, since it is fixed-point monitoring, there is a limit to the extent of monitoring. Thus, method has been proposed for analyzing microblogs, a kind of SNS (social networking service), to complement acquisition of information concerning traffic phenomena. However, as preset keywords are used to make searches, the number of acquirable TWEETS fluctuates. Therefore, this research proposes a method for selecting useful keywords for acquiring information on traffic phenomena using the characteristics of the concerned keywords to burst when a traffic phenomenon occurs, and evaluates its validity.

In road management, it is important to quickly detect diverse phenomena that have occurred such as accidents and backups. Therefore, road administrators grasp road conditions through the equipment installed on the roads and by going on patrol every day. In recent years, as seen from the cases that road users themselves sometimes post information on a real-time using SNS. It can be expected that this kind of information will help to mitigate backups and so on if movement data of road users are grasped and the affected road users can be provided with the concerned information preferentially. In this work, a method for estimating location information of road users is devised by focusing on the posted contents and posting patterns of the road users on SNS and estimating their actions from their daily posts, and its usefulness is verified.

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道路管理では，道路上に設置された機器や車載機器から得られる様々な道路交通データを用いて，渋滞予測や，道路整備や改良の効果計測等の分析が行われている．しかし，これらの道路交通データは，定量的・客観的であるため，道路利用者の所感等の主観的なことは明らかにはできない．<br /> 本研究では，道路利用者の移動目的や所感等を含む移動情報をマイクロブログから推定する分析手法を考案し，交通量変化の要因分析等での活用可能性を評価した．

&nbsp;Traffic phenomena including accidents occur daily on the Japanese road network. Surveillance cameras and traffic counters are used to monitor them; however, since it is fixed-point monitoring, there is a limit to the extent of monitoring. Thus, a method has been proposed for analyzing microblogs, a kind of SNS (social networking service), to complement acquisition of information concerning traffic phenomena. However, as preset keywords are used to make searches, the number of acquirable tweets fluctuates.<br>&nbsp;Therefore, this research proposes a method for selecting useful keywords for acquiring information on traffic phenomena using the characteristics of the concerned keywords to burst when a traffic phenomenon occurs, and evaluates its validity.

我が国の道路網では事故などの交通現象が日々発生している．これらの監視には，監視カメラやトラフィックカウンターなどが用いられているが，定点監視であるため監視範囲には限界がある．そこでSNSの一種であるマイクロブログを解析し，交通現象に係わる情報取得を補完する方法が提案されている．しかし，あらかじめ設定したキーワードで探索するため，取得できるツイート数に多寡が発生する．そのため，本研究では，交通現象発生時に関連するキーワードがバーストする特性を用いて，交通現象の獲得に有用なキーワードを選定する手法を提案し，その有効性を評価する．

&nbsp;In evaluating public works projects, it is necessary to evaluate their current condition quantitatively and qualitatively from diversified viewpoints based on the social situation. For the road projects, road traffic analysis is carried out to grasp the actual traffic condition quantitatively. If this analysis result reflects public opinions that are qualitative in detail, it can be expected that this will help to advance the evaluations of road projects. To collect qualitative public opinions, one of the effective measures is to utilize tweets from Twitter, which is a form of microblogs. However, since there are all sorts of tweets in circulation, it is difficult to appropriately extract the tweets that are useful in evaluating road projects. Moreover, even if a useful tweet is extracted, it is very hard to identify the location indicated by the tweet.Thus in this research, we devised a text mining method that combines road traffic data found on the Web with tweets from Twitter, and evaluated the feasibility of extracting public opinions related to road works projects and of estimating their locations.

公共事業の評価は，様々な分析や意見聴取などから定量的・定性的に行う必要がある．道路事業では，道路交通分析を実施して交通実態を定量的に把握されており，そこに国民の意見をきめ細やかに反映できると，道路事業評価の高度化が期待される．国民意見の収集にマイクロブログの活用が有効策として挙げられるが，投稿された意見が示す対象地点の特定が難しい．<br /> 本研究では，代表的なマイクロブログのTwitterのツイートと，既存の道路交通データとを組み合わせた道路事業に係わるツイート抽出のテキストマイニング手法を考案し，その有用性を検証した．

スマートフォンの技術進歩により，AR（拡張現実）とGPSや電子コンパスを組み合わせた歩行者向けナビアプリケーションが注目されている．これらのアプリケーションでは，カメラを通して，現実世界に目的地の方角を指し示す矢印をオーバーレイし，電子コンパスの値から矢印の向きを動的に変化させ，ナビゲートする機能を搭載している．しかし，その多くは，目的地の方角を指し示すのみに留まっており，迂回する必要が有る場合に迂回路を提示できない．そこで，本アプリケーションでは，Google社より提供されているAPIから取得できる地点データを用いることで，迂回路を提示することに対応したアプリケーションの開発を目指す．

&nbsp;A large number of posts with useful information to help local residents can be found in CGM (Consumer Generated Media). Such posted messages contain, for example, information about prevention of crimes or emergency responses during disasters for the local communities. Various information about diverse regions is put together and open to the public. However, since anyone can contribute to CGM, it often happens that a mixture of information about multiple regions can be found on the same Web page or that different topics are covered for the same region, making it hard to extract only the information about the particular region or it's contents. This research proposes a method for extracting regional information from CGM by dividing the information circulating in CGM into posted messages, and then grouping them according to the region or it's contents that each posted message treats. It also examines a possibility of creating a regional information map by analyzing the positional information contained in the posted messages classified into groups and mapping them onto GIS.

各都道府県警にて提供される犯罪情報マップは，街頭犯罪や迷惑行為から地域住民の安全を守るために，安全知を住民に提供している．しかし，犯罪情報マップで公開される情報は，現行犯や住民通報の情報であり，警察が認知していない情報は含まれていない．一方，CGMには，犯罪情報マップに含まれない様々な安全知が公開されており，住民に提供することで，安全・安心な街づくりに役立つと考えられる．そこで，本研究では，CGMを詳細に分析し，安全知を抽出する手法を提案する．さらに，各投稿に含まれる位置情報から街頭犯罪マップの構築を行い，CGMに含まれる安全知の提供の可能性を検証する．