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!