Journal of Civil Engineering and Architecture, 2013
Half centuries of follow-up survey has enabled the architects and urban planners to design ration... more Half centuries of follow-up survey has enabled the architects and urban planners to design rationally by the aid of planning. Nonetheless, limitation has occurred at planning because city has been changing its utility in accordance with its users' demand. In this paper, the authors proposed a method to analyze trait of users in market areas near stations by analyzing location based social network. After the datum collection from geotagged tweets, these GPS (global positioning system) datum were plotted to map attained from yahoo open location platform. Then the morphological analysis and terminology extraction system extracted the keywords and their scores. After calculating the distance from stations and users' GPS coordination, the authors extracted the array of keywords and corresponding scores in some station market area. Lastly, ratios of all users' scores and city's scores were calculated to examine the locality. Full combination of data collection, natural language processing and visualization enabled the authors to envisage distribution of collective background in city.
The objective of this assertion is to propose simple methodologies to analyze cities with recent ... more The objective of this assertion is to propose simple methodologies to analyze cities with recent natural language processing technology and a location based social network, twitter.
Recently, the use of sensor technology in the architecture discipline has been studied in various... more Recently, the use of sensor technology in the architecture discipline has been studied in various researches, but generally their instruments of the system aren’t spread. This is because of high cost of the systems,limited web service that can do comprehensive data management, and insufficient cooperation between CAD and these systems. For these issues, we can construct the Architectural Monitoring System, by using “Arduino” as hardware for sensing, “Pachube” as the tool of data management, and “Google Sketchup” as linkage system. This thesis has shown the system from getting data to visualizing, using these new ICT equipments.
Half centuries of follow-up survey has enabled the architects and urban planners to design ration... more Half centuries of follow-up survey has enabled the architects and urban planners to design rationally by the aid of planning. Nonetheless, limitation has occurred at planning because city has been changing its utility in accordance with its user's demand. In this thesis, we proposed the method to plot the collective background of users in city by analyzing location based social network. After the data collection of Twitter, the terminology extraction system estimated the keyword's scores. Utility of users' location data and keywords' scores envisaged collective background mapping of users by changing GPS coordination into picture coordination. These programs could visualize the magnitude of a keyword in certain city with scalability. However, there were problems on the noise of colloquial language and the disperse keywords. Also, location without mass public transportation system cannot be analyzed because the number of geo-tagged tweets was related to the number of ridership of station.
"Half centuries of follow-up survey has enabled the architects and urban planners to design ratio... more "Half centuries of follow-up survey has enabled the architects and urban planners to design rationally by the aid of planning. Nonetheless, limitation has occurred at planning because city has been changing its utility in accordance with its users’ demand. In this thesis, we proposed a method to analyze trait of users in market areas near stations by analyzing location based social network. After the data collection from geo-tagged tweets, these GPS data were plotted to map attained from Yahoo Open Location Platform. Then the
morphological analysis and terminology extraction system extracted the keywords and their scores. After calculating the distance from stations and users’ GPS coordination, we extracted the array of keywords and corresponding scores in some station market area. Lastly, ratios of all users’ scores and city’s scores were calculated to examine the locality. Full combination of data collection, natural language processing and visualization enabled us to envisage distribution of collective background in city."
Since this conference is held without paper, only section number can be provided.
Kousuke Kikuchi, Tatsuto Kihara, Atsushi Enta, Hideaki Takayanagi, Kazuto Hayashida and Hitoshi Watanabe (2012) Collective Background Extraction for Station Market Area by using
Location Based Social Network, ISAIA2012, G-5-4, 2012, 10
The purpose of this thesis clarifies a methodology of analyzing and visualizing the spatio-tempor... more The purpose of this thesis clarifies a methodology of analyzing and visualizing the spatio-temporal distributions of human behaviors related to daily life by using Twitter. Although a number of field study methods of human behaviors in a city, little research was related to geo-tagged social networking services. Twitter has the possibility to analyze user’s behavior. Two programs were fabricated: making a list of geo-tagged users, and gleaning its users’ data. Excel sorted the determined keywords of “Verb” and “Object” related daily life and outputted into files. In “Verb,” three-dimensional kernel density estimation evaluated the time-space density of its “Verb.” In “Object,” kernel density estimation evaluated the density of its “Object.” These estimations were visualized in Voxler and Google Earth. In conclusion, this methodology indicates the locality of each area by comparison between adjacent areas or inner area. However, three limitations occurred in this method. First, unconscious bias remains because only smart phone users can embed geo-location data. Second, discontinuous history of users’ data disproves the human behavior. Finally, this method cannot analyze real-time. By the overcoming of these limitations, the digital research will be a tool for not only architects or urban planner but also citizens to design their city.
Long-term studies on human distribution have been found numerous mathematical models on human dis... more Long-term studies on human distribution have been found numerous mathematical models on human distribution to analyze the tendency where to go. The premises of these models have been parameters on limited human parameters and weighing space parameters. However, recent information terminal changes potential human preference into actual and human behavior into purpose-oriented. In summary, researcher should think about new method of sublating human quality and quantity. In this thesis, the authors propose to use Geo-Tagging Social Networking Service to get information on Five Ws about human behavior. The main purpose of this thesis is establishing the methodology on the spatio-temporal distribution of human attribute’s and human activity. Secondary purpose is indicating that city is composed from human activity and attribute.
"Recently, the use of sensor technology in the architecture discipline has been studied in variou... more "Recently, the use of sensor technology in the architecture discipline has been studied in various researches, but generally their instruments of the system aren’t spread. This is because of high cost of the systems, limited web service that can do comprehensive data management, and insufficient cooperation between CAD and these systems.
For these issues, we can construct the Architectural Monitoring System, by using “Arduino” as hardware for sensing, “Pachube” as the tool of data management, and “Google Sketchup” as linkage system. This thesis has shown the system from getting data to visualizing, using these new ICT equipments."
Journal of Civil Engineering and Architecture, 2013
Half centuries of follow-up survey has enabled the architects and urban planners to design ration... more Half centuries of follow-up survey has enabled the architects and urban planners to design rationally by the aid of planning. Nonetheless, limitation has occurred at planning because city has been changing its utility in accordance with its users' demand. In this paper, the authors proposed a method to analyze trait of users in market areas near stations by analyzing location based social network. After the datum collection from geotagged tweets, these GPS (global positioning system) datum were plotted to map attained from yahoo open location platform. Then the morphological analysis and terminology extraction system extracted the keywords and their scores. After calculating the distance from stations and users' GPS coordination, the authors extracted the array of keywords and corresponding scores in some station market area. Lastly, ratios of all users' scores and city's scores were calculated to examine the locality. Full combination of data collection, natural language processing and visualization enabled the authors to envisage distribution of collective background in city.
The objective of this assertion is to propose simple methodologies to analyze cities with recent ... more The objective of this assertion is to propose simple methodologies to analyze cities with recent natural language processing technology and a location based social network, twitter.
Recently, the use of sensor technology in the architecture discipline has been studied in various... more Recently, the use of sensor technology in the architecture discipline has been studied in various researches, but generally their instruments of the system aren’t spread. This is because of high cost of the systems,limited web service that can do comprehensive data management, and insufficient cooperation between CAD and these systems. For these issues, we can construct the Architectural Monitoring System, by using “Arduino” as hardware for sensing, “Pachube” as the tool of data management, and “Google Sketchup” as linkage system. This thesis has shown the system from getting data to visualizing, using these new ICT equipments.
Half centuries of follow-up survey has enabled the architects and urban planners to design ration... more Half centuries of follow-up survey has enabled the architects and urban planners to design rationally by the aid of planning. Nonetheless, limitation has occurred at planning because city has been changing its utility in accordance with its user's demand. In this thesis, we proposed the method to plot the collective background of users in city by analyzing location based social network. After the data collection of Twitter, the terminology extraction system estimated the keyword's scores. Utility of users' location data and keywords' scores envisaged collective background mapping of users by changing GPS coordination into picture coordination. These programs could visualize the magnitude of a keyword in certain city with scalability. However, there were problems on the noise of colloquial language and the disperse keywords. Also, location without mass public transportation system cannot be analyzed because the number of geo-tagged tweets was related to the number of ridership of station.
"Half centuries of follow-up survey has enabled the architects and urban planners to design ratio... more "Half centuries of follow-up survey has enabled the architects and urban planners to design rationally by the aid of planning. Nonetheless, limitation has occurred at planning because city has been changing its utility in accordance with its users’ demand. In this thesis, we proposed a method to analyze trait of users in market areas near stations by analyzing location based social network. After the data collection from geo-tagged tweets, these GPS data were plotted to map attained from Yahoo Open Location Platform. Then the
morphological analysis and terminology extraction system extracted the keywords and their scores. After calculating the distance from stations and users’ GPS coordination, we extracted the array of keywords and corresponding scores in some station market area. Lastly, ratios of all users’ scores and city’s scores were calculated to examine the locality. Full combination of data collection, natural language processing and visualization enabled us to envisage distribution of collective background in city."
Since this conference is held without paper, only section number can be provided.
Kousuke Kikuchi, Tatsuto Kihara, Atsushi Enta, Hideaki Takayanagi, Kazuto Hayashida and Hitoshi Watanabe (2012) Collective Background Extraction for Station Market Area by using
Location Based Social Network, ISAIA2012, G-5-4, 2012, 10
The purpose of this thesis clarifies a methodology of analyzing and visualizing the spatio-tempor... more The purpose of this thesis clarifies a methodology of analyzing and visualizing the spatio-temporal distributions of human behaviors related to daily life by using Twitter. Although a number of field study methods of human behaviors in a city, little research was related to geo-tagged social networking services. Twitter has the possibility to analyze user’s behavior. Two programs were fabricated: making a list of geo-tagged users, and gleaning its users’ data. Excel sorted the determined keywords of “Verb” and “Object” related daily life and outputted into files. In “Verb,” three-dimensional kernel density estimation evaluated the time-space density of its “Verb.” In “Object,” kernel density estimation evaluated the density of its “Object.” These estimations were visualized in Voxler and Google Earth. In conclusion, this methodology indicates the locality of each area by comparison between adjacent areas or inner area. However, three limitations occurred in this method. First, unconscious bias remains because only smart phone users can embed geo-location data. Second, discontinuous history of users’ data disproves the human behavior. Finally, this method cannot analyze real-time. By the overcoming of these limitations, the digital research will be a tool for not only architects or urban planner but also citizens to design their city.
Long-term studies on human distribution have been found numerous mathematical models on human dis... more Long-term studies on human distribution have been found numerous mathematical models on human distribution to analyze the tendency where to go. The premises of these models have been parameters on limited human parameters and weighing space parameters. However, recent information terminal changes potential human preference into actual and human behavior into purpose-oriented. In summary, researcher should think about new method of sublating human quality and quantity. In this thesis, the authors propose to use Geo-Tagging Social Networking Service to get information on Five Ws about human behavior. The main purpose of this thesis is establishing the methodology on the spatio-temporal distribution of human attribute’s and human activity. Secondary purpose is indicating that city is composed from human activity and attribute.
"Recently, the use of sensor technology in the architecture discipline has been studied in variou... more "Recently, the use of sensor technology in the architecture discipline has been studied in various researches, but generally their instruments of the system aren’t spread. This is because of high cost of the systems, limited web service that can do comprehensive data management, and insufficient cooperation between CAD and these systems.
For these issues, we can construct the Architectural Monitoring System, by using “Arduino” as hardware for sensing, “Pachube” as the tool of data management, and “Google Sketchup” as linkage system. This thesis has shown the system from getting data to visualizing, using these new ICT equipments."
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Papers by Kosuke Kikuchi
morphological analysis and terminology extraction system extracted the keywords and their scores. After calculating the distance from stations and users’ GPS coordination, we extracted the array of keywords and corresponding scores in some station market area. Lastly, ratios of all users’ scores and city’s scores were calculated to examine the locality. Full combination of data collection, natural language processing and visualization enabled us to envisage distribution of collective background in city."
Since this conference is held without paper, only section number can be provided.
Kousuke Kikuchi, Tatsuto Kihara, Atsushi Enta, Hideaki Takayanagi, Kazuto Hayashida and Hitoshi Watanabe (2012) Collective Background Extraction for Station Market Area by using
Location Based Social Network, ISAIA2012, G-5-4, 2012, 10
Two programs were fabricated: making a list of geo-tagged users, and gleaning its users’ data. Excel sorted the determined keywords of “Verb” and “Object” related daily life and outputted into files. In “Verb,” three-dimensional kernel density estimation evaluated the time-space density of its “Verb.” In “Object,” kernel density estimation evaluated the density of its “Object.” These estimations were visualized in Voxler and Google Earth.
In conclusion, this methodology indicates the locality of each area by comparison between adjacent areas or inner area. However, three limitations occurred in this method. First, unconscious bias remains because only smart phone users can embed geo-location data. Second, discontinuous history of users’ data disproves the human behavior. Finally, this method cannot analyze real-time. By the overcoming of these limitations, the digital research will be a tool for not only architects or urban planner but also citizens to design their city.
For these issues, we can construct the Architectural Monitoring System, by using “Arduino” as hardware for sensing, “Pachube” as the tool of data management, and “Google Sketchup” as linkage system. This thesis has shown the system from getting data to visualizing, using these new ICT equipments."
morphological analysis and terminology extraction system extracted the keywords and their scores. After calculating the distance from stations and users’ GPS coordination, we extracted the array of keywords and corresponding scores in some station market area. Lastly, ratios of all users’ scores and city’s scores were calculated to examine the locality. Full combination of data collection, natural language processing and visualization enabled us to envisage distribution of collective background in city."
Since this conference is held without paper, only section number can be provided.
Kousuke Kikuchi, Tatsuto Kihara, Atsushi Enta, Hideaki Takayanagi, Kazuto Hayashida and Hitoshi Watanabe (2012) Collective Background Extraction for Station Market Area by using
Location Based Social Network, ISAIA2012, G-5-4, 2012, 10
Two programs were fabricated: making a list of geo-tagged users, and gleaning its users’ data. Excel sorted the determined keywords of “Verb” and “Object” related daily life and outputted into files. In “Verb,” three-dimensional kernel density estimation evaluated the time-space density of its “Verb.” In “Object,” kernel density estimation evaluated the density of its “Object.” These estimations were visualized in Voxler and Google Earth.
In conclusion, this methodology indicates the locality of each area by comparison between adjacent areas or inner area. However, three limitations occurred in this method. First, unconscious bias remains because only smart phone users can embed geo-location data. Second, discontinuous history of users’ data disproves the human behavior. Finally, this method cannot analyze real-time. By the overcoming of these limitations, the digital research will be a tool for not only architects or urban planner but also citizens to design their city.
For these issues, we can construct the Architectural Monitoring System, by using “Arduino” as hardware for sensing, “Pachube” as the tool of data management, and “Google Sketchup” as linkage system. This thesis has shown the system from getting data to visualizing, using these new ICT equipments."