This chapter investigates the challenges and opportunities associated with planning for a competitive city. The chapter is based on the assumption that a healthy city is a fundamental prerequisite for a competitive city. Thus, it is critical to examine the local determinants of health and factor these into any planning efforts. The main focus of the chapter is on e-health planning by utilising ...

Smart city is a new form of information city and digital city and a new type of innovative means of planning and management of city, its theoretical research and construction practice have entered a period of rapid development. In-depth understanding of concept related to smart city will contribute to avoid the one-sidedness and blindness of smart city construction. This paper collects and anal...

Semantic 3D city models describe city entities by objects with thematic and spatial attributes and their interrelationships. Today, more and more cities worldwide are representing their 3D city models according to the CityGML standard issued by the Open Geospatial Consortium (OGC). Various application areas of 3D city models such as urban planning or architecture require that authorities or sta...

Recently, a rapid growth in the population in urban regions demands the provision of services and infrastructure. These needs can be come up wit the use of Internet of Things (IoT) devices, such as sensors, actuators, smartphones and smart systems. This leans to building Smart City towards the next generation Super City planning. However, as thousands of IoT devices are interconnecting and comm...

Dr. Tira is Professor Emeritus; Dr. Peters is Director, Analysis and Planning; Dr. Reed is Dean; and Dr. Killip is Assistant Dean for Student Programs—all at the School of Dentistry, University of Missouri-Kansas City. Direct correspondence to Dr. Daniel Tira, School of Dentistry, University of Missouri-Kansas City, 650 E. 25 Street, Kansas City, MO 64108; 816-235-2083 phone; 816-235-2157 fax; ...

Location Based Social Networks (LBSN) like Twitter or Instagram are a good source for user spatio-temporal behavior. These social network provide a low rate sampling of user’s location information during large intervals of time that can be used to discover complex behaviors, including mobility profiles, points of interest or unusual events. This information is important for different domains li...