The so-called smart city is a new form of information technology that is achieved through the integration of the contemporary advanced big data technology,Internet of Things technology,cloud computing technology,and s...The so-called smart city is a new form of information technology that is achieved through the integration of the contemporary advanced big data technology,Internet of Things technology,cloud computing technology,and spatial geographic information.At present,the application of this technology is important for the urban construction,planning,and services as well as management.This technology also provides great convenience in these aspects,which has allowed the cities to develop and transform towards the direction of smart cities.Based on this situation,the construction of spatiotemporal big data platforms in smart cities was analyzed in this article,and this analysis may provide a reference for the construction and development of todays smart cities.展开更多
For an urban planning perspective,industrial revolutions have always represented a disruptive moment in lives of cities.What will be the impacts of this fourth industrial revolution in the training of urban planners?T...For an urban planning perspective,industrial revolutions have always represented a disruptive moment in lives of cities.What will be the impacts of this fourth industrial revolution in the training of urban planners?This paper aims to investigate the contribution of Urban Big Data within the curricula of the Schools of Architecture.Adopting a qualitative and quantitative approach to analyze the syllabi of the schools of architecture,this work presents a first picture of the different approaches of this promising teaching subject,to foster a discussion on the different visions proposed to forge the next generation of town planner practitioners.展开更多
Data volume grows explosively with the proliferation of powerful smartphones and innovative mobile applications.The ability to accurately and extensively monitor and analyze these data is necessary.Much concern in cel...Data volume grows explosively with the proliferation of powerful smartphones and innovative mobile applications.The ability to accurately and extensively monitor and analyze these data is necessary.Much concern in cellular data analysis is related to human beings and their behaviours.Due to the potential value that lies behind these massive data,there have been different proposed approaches for understanding corresponding patterns.To that end,analyzing people's activities,e.g.,counting them at fixed locations and tracking them by generating origindestination matrices is crucial.The former can be used to determine the utilization of assets like roads and city attractions.The latter is valuable when planning transport infrastructure.Such insights allow a government to predict the adoption of new roads,new public transport routes,modification of existing infrastructure,and detection of congestion zones,resulting in more efficient designs and improvement.Smartphone data exploration can help research in various fields,e.g.,urban planning,transportation,health care,and business marketing.It can also help organizations in decision making,policy implementation,monitoring,and evaluation at all levels.This work aims to review the methods and techniques that have been implemented to discover knowledge from mobile phone data.We classify these existing methods and present a taxonomy of the related work by discussing their pros and cons.展开更多
文摘The so-called smart city is a new form of information technology that is achieved through the integration of the contemporary advanced big data technology,Internet of Things technology,cloud computing technology,and spatial geographic information.At present,the application of this technology is important for the urban construction,planning,and services as well as management.This technology also provides great convenience in these aspects,which has allowed the cities to develop and transform towards the direction of smart cities.Based on this situation,the construction of spatiotemporal big data platforms in smart cities was analyzed in this article,and this analysis may provide a reference for the construction and development of todays smart cities.
文摘For an urban planning perspective,industrial revolutions have always represented a disruptive moment in lives of cities.What will be the impacts of this fourth industrial revolution in the training of urban planners?This paper aims to investigate the contribution of Urban Big Data within the curricula of the Schools of Architecture.Adopting a qualitative and quantitative approach to analyze the syllabi of the schools of architecture,this work presents a first picture of the different approaches of this promising teaching subject,to foster a discussion on the different visions proposed to forge the next generation of town planner practitioners.
基金supported by Fundo para o Desenvolvimento das Ciencias e da Tecnologia(FDCT)(119/2014/A3)。
文摘Data volume grows explosively with the proliferation of powerful smartphones and innovative mobile applications.The ability to accurately and extensively monitor and analyze these data is necessary.Much concern in cellular data analysis is related to human beings and their behaviours.Due to the potential value that lies behind these massive data,there have been different proposed approaches for understanding corresponding patterns.To that end,analyzing people's activities,e.g.,counting them at fixed locations and tracking them by generating origindestination matrices is crucial.The former can be used to determine the utilization of assets like roads and city attractions.The latter is valuable when planning transport infrastructure.Such insights allow a government to predict the adoption of new roads,new public transport routes,modification of existing infrastructure,and detection of congestion zones,resulting in more efficient designs and improvement.Smartphone data exploration can help research in various fields,e.g.,urban planning,transportation,health care,and business marketing.It can also help organizations in decision making,policy implementation,monitoring,and evaluation at all levels.This work aims to review the methods and techniques that have been implemented to discover knowledge from mobile phone data.We classify these existing methods and present a taxonomy of the related work by discussing their pros and cons.
