sustainable and harmonised development for smart cities ... · 5/13/2014 · pleasant, healthy and...
TRANSCRIPT
Peter Creuzer
Sustainable and Harmonised Development for
Smart Cities –
The Role of Geospatial Reference Data
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)
23 November 2010 4
Benefits of Spatial Planning – ECE/HBP/146 (2008)
Stability for
investment
Environmental quality
in urban and rural
areas
Efficient and
consistent decision-
making ...
Regeneration and
appropriate use of
land, buildings and
infrastructure
Use of previously
developed land
Addressing
environmental risks
Use of vacant and
derelict land ...
Creation and
maintenance of
pleasant, healthy
and safe
environments ...
ECONOMIC SOCIAL ENVIRON-
MENTAL
1. Introduction - Smart Cities and Geodata
2. Geodata in Germany
3. Examples
4. Data and Service Delivery
5. Conclusions
National Economy
• Area: ~ 357.000 km2;
• ~80.5 million citizens; ~ 229 citizens/km2
• Gross domestic product: 2735,8 billion € in 2013
• Economic growth 2011: +0.4 %
• Settlements: ~48500 km2 (2013)
• Land consumption: 74 hectares/day in 2012
Source: www.destatis.de
13.05.2014 7
Surveying and Mapping Products
REAL ESTATE CADASTRE
STATE SURVEY
GEOSPATIAL REFERENCE
INFORMATION SYSTEM
(Map) (ALK)
(Register) (ALB)
Integrated data (ALKIS®)
Reference systems 3D- Basic network
Positioning (SAPOS®)
Geo-topography (ATKIS®)
AAA - data model
GIS standards (ISO, OGC)
(AFIS®)
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)
Serial number of immovable
property
Cadastral district, sub-district,
parcel identifier
Location, area, land use
(description)
Rights, co-ownership acc. to § 3 (3)
GBO
LAND REGISTER - INVENTORY
SECTIONS 1 - 3
GEOSPATIAL REFERENCE DATA
Terrain contour lines
Territorial Responsibilities
Buildings and dwellings
Land use and special vegetation
Substantial structural facilities without buildings and dwellings
Land parcels
Uniform geodetic reference system
- position, height, gravity -
Public restrictions, encumbrances or other features (soil valuation)
Information on ownership
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
• Federal and state authorities
• Municipalities
• Utilities
• Telecommunication
• Publishers/Delivery
companies
• Police, fire departments,
rescue services
• Real estate sector
• Construction sector
• Agriculture …
Products, services Customer groups
• 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)
Market Transparency
More than 270 SAPOS®
reference stations
▪ Official spatial reference
▪ International standards
▪ Networking with neighbouring
countries
Belgium
Denmark
France
Netherlands
Austria
Poland
Switzerland
Czech Republic
SAPOS®
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
Risk Management
Police, Fire Departments, Rescue Services:
• 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
Economical-ness
Quality Management
Capture, Maintenance and Delivery
Access and Catalogue Services
Online-Services with
uniform licensing
arrangements
Standards
INSPIRE and GDI-DE
Harmonised Geospatial Reference
Data
Coordinating bodies
Supra-regional users, focal points
Linked to Europe
Same fees and measuring standards
AdV Customer Centres
Maintenance of:
Satellite Positioning
Service of the
German State
Survey
Lower Saxony
Building coordinates
and polygons of the
German Real Estate
Cadastre
North Rhine-
Westphalia
Geodata of the German
State Survey
Federal Office for
Geodesy and Cartography
Customer Centres for products of the German official surveying and mapping
1. Introduction - Smart Cities and Geodata
2. Geodata in Germany
3. Examples
4. Data and Service Delivery
5. Conclusions
23 November 2010 25
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!