Sustainable and Harmonised Development for Smart Cities The Role of Geospatial Reference Data Peter Creuzer
1. Introduction - Smart Cities and Geodata 2. Geodata in Germany 3. Examples 4. Data and Service Delivery 5. Conclusions
Smart Cities Urban Mobility Districts and Built Environment Integrated Infrastructures Source: European Partnership on Smart Cities and Communities Strategic Implementation Plan (14.10.2013)
ECONOMIC SOCIAL ENVIRON- MENTAL Stability for investment Environmental quality in urban and rural areas Efficient and consistent decisionmaking... Creation and maintenance of pleasant, healthy and safe environments... Regeneration and appropriate use of land, buildings and infrastructure Use of previously developed land Addressing environmental risks Use of vacant and derelict land... Benefits of Spatial Planning ECE/HBP/146 (2008) 23 November 2010 4
1. Introduction - Smart Cities and Geodata 2. Geodata in Germany 3. Examples 4. Data and Service Delivery 5. Conclusions
National Economy Area: ~ 357.000 km 2 ; ~80.5 million citizens; ~ 229 citizens/km 2 Gross domestic product: 2735,8 billion in 2013 Economic growth 2011: +0.4 % Settlements: ~48500 km 2 (2013) Land consumption: 74 hectares/day in 2012 Source: www.destatis.de
Surveying and Mapping Products REAL ESTATE CADASTRE STATE SURVEY (Map) (Register) (ALK) (ALB) Integrated data (ALKIS ) Reference systems 3D- Basic network (AFIS ) Positioning (SAPOS ) Geo-topography (ATKIS ) GEOSPATIAL REFERENCE INFORMATION SYSTEM AAA - data model GIS standards (ISO, OGC) 13.05.2014 7
LAND REGISTER - INVENTORY Serial number of immovable property Cadastral district, sub-district, parcel identifier Location, area, land use (description) Rights, co-ownership acc. to 3 (3) GBO SECTIONS 1-3 Owner, serial number in inventory Encumbrances, restrictions and limitations (servitudes, hereditary building rights, living rights, limitations to the right of disposal.. Order of standing of rights Rights in rem (mortgages, land charges, annuity land charges) GEOSPATIAL REFERENCE DATA Uniform geodetic reference system - position, height, gravity - Substantial structural facilities without buildings and dwellings Land use and special vegetation Territorial Responsibilities Terrain contour lines Land parcels Information on ownership Buildings and dwellings Public restrictions, encumbrances or other features (soil valuation)
Geospatial Reference Data Basis for Decision-Making Digital Landscape Models (DLM) Digital Topographic Maps (DTM) Digital Orthophotos (DOP) Digital Elevation Models (DEM) Building coordinates Satellite Positioning Service (SAPOS ) Cadastre data Products, services Federal and state authorities Municipalities Utilities Telecommunication Publishers/Delivery companies Police, fire departments, rescue services Real estate sector Construction sector Agriculture Customer groups
Market Transparency GRETI Germany 2012: No. 12. Indicative land and property values Market functions and effects on general conditions Facilitate nation-wide comparisons Land prices and land-use patterns to be used as indictors in processes such as urban sprawl (EEA 2010)
SAPOS More than 270 SAPOS reference stations Official spatial reference International standards Networking with neighbouring countries Belgium Denmark France Netherlands Austria Poland Switzerland Czech Republic
1. Introduction - Smart Cities and Geodata 2. Geodata in Germany 3. Examples 4. Data and Service Delivery 5. Conclusions
Vacancy Cadastre
Vacancy Cadastre Use Developed for municipalities Base for planning (village renewal, inward development, area consumption ) Early warning system, municipal use only (Intranet) Features Location and accumulation of vacant lots and buildings Possible future development (ageing, poor building stock) Use of geospatial reference data (topographic maps, cadastre administrative boundaries, DOP)
Solar Potential Cadastre Map of surroundings Orientation Building geometry (from cadastre) Roof form (airborne laser-scanning, image-matching) Roof slope (25-45 for PV, 30-60 for ST) Roof area (min. 45m² for PV) Roof covering Roof load reserve Historic conservation
LIDAR Data
3D-Building Data LoD1 and LoD2
Police, Fire Departments, Rescue Services: Risk Management Cartographic basis for operational planning and subsequent documentation Large-scale deployment planning Special thematic mapping: hydrographic maps, forest fire operation maps Simulation of flood scenarios, identification of possibly affected buildings, calculation of volumes of water + 2m
1. Introduction - Smart Cities and Geodata 2. Geodata in Germany 3. Examples 4. Data and Service Delivery 5. Conclusions
AdV-Bereitstellungsstrategie Geobasisdaten Web Services For Geodata Delivery Customer Focus Capture, Maintenance and Delivery Standards Access and Catalogue Services INSPIRE and GDI-DE Quality Management Economicalness Online- Services with uniform licensing arrangements Harmonised Geospatial Reference Data
Maintenance of: AdV Customer Centres Coordinating bodies Supra-regional users, focal points Linked to Europe Same fees and measuring standards Customer Centres for products of the German official surveying and mapping Satellite Positioning Service of the German State Survey Building coordinates and polygons of the German Real Estate Cadastre Geodata of the German State Survey Lower Saxony North Rhine- Westphalia Federal Office for Geodesy and Cartography
1. Introduction - Smart Cities and Geodata 2. Geodata in Germany 3. Examples 4. Data and Service Delivery 5. Conclusions
Conclusions Land ownership and tenure structures are key elements of a smart development approach. A participatory and transparent approach to spatial planning and relevant implementation processes is critical. Integrated and standardised geospatial datasets accessible through services within spatial data infrastructures (SDI) are fundamental to success for well-informed decision-making in both urban and rural areas. Smart cities are geospatially enabled cities! 23 November 2010 25