From its outset, UDMS has highlighted changes and trends in urban data and urban data management. This book contains 20 papers selected from the long papers that were submitted for UDMS 2013, and is intended to be suitable for different readers – from city planners and architects to academics, students and policy makers and those involved in urban planning.

Introduction; Part 1: Urban development: Cost function for route accessibility with a focus on disabled people confined to a wheelchair: The TOURRENIA Project; Criteria of dwelling quality; Offer prices, data mining and spatial econometrics: A complementary approach to study real estate market dynamics; Eras of electric vehicles: Electric mobility on the verge—Focus Attention Scale; Part 2: Statistics and geo-visualisation: A test to check the efficiency of visual representation of urban data; Chorems: A new tool for territorial intelligence; Spatial point pattern analysis of lung cancer in an urban area: Izmir case; A qualitative data cube—building sites annoyance analysis use case; Part 3: Smart cities and big data: EdgeCrack: A parallel Divide-and-Conquer algorithm for building a topological data structure; Making sense of smart city sensors; City as a social network—Brazilian examples; Part 4: Remote sensing: Monitoring peri-urban land use change with multi-temporal Landsat imagery Analyzing urban sprawl applying spatial autocorrelation techniques to multi-temporal satellite data; Building extraction from high resolution multi-spectral satellite images; Part 5: 3D Modelling and applications: A schema-aware encoder for Putrajaya 3D; Detecting shadow for direct radiation using CityGML models for photovoltaic potentiality analysis; Geometric validation of 3D city models based on standardized quality criteria; 3D printing for urban planning: A physical enhancement of spatial perspective Part 6: Ontologies: LARKS: An ontology-based algorithm for geographic web service discovery; Research on geo-ontologies at earthquake domain for disaster management on urban areas.