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Structural data for traffic models

Verkehrsmodelle dienen der Wirkungsabschätzungen von Vorhaben und bilden somit einen wichtigen Bestandteil planerischer, aber auch politischer Entscheidungsfindungen. Damit verbunden ist ein hoher Anspruch an die Qualität des Verkehrsmodells. Zum einen spielt die modellseitige Qualität eine wichtige Rolle, das heißt mathematische Modellierungsansätze müssen korrekt ausgewählt und eingesetzt werden. Für ein valides Verkehrsmodell benötigt es zum anderen eine strukturierte Datengrundlage. Denn erst mit belastbaren Daten vermag das Verkehrsmodell plausible Resultate zu generieren. Dies gilt sowohl für Modelle, die den Status quo abbilden als auch für Prognosemodelle.

For traffic models I prepare the necessary data bases and thus enable the creation of structural databases. The topics for this database are broad, complex and require a large knowledge base to describe them adequately. This is especially true because, in addition to the status quo, structural data often also needs to be mapped for the future. The subject areas range from inhabitants and car occupancy, to employees, to social and leisure infrastructures. For the structural database, official data, statistics from public authorities, crowd data and, if required, mobile phone data and other big data serve as sources.

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Current statistics

At this point I present you with changing statistics, for example, in connection with the number of the month and/or current projects. Increasingly, interactive forms of data and information transfer are also being used, which can serve as a basis for planning and decision-making. For this purpose, I primarily use Tableau®.

I would also be happy to prepare data for your project and presentation in a clear and concise manner.

Note: The interactive graphics are optimized for desktop PC and laptop screens and will not be displayed on small screens (smartphones), for best experience I recommend viewing on a PC screen.

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Archive

Here you will find previous figures of the month and statistics.

(Click on the plus symbol or month to view)

Figures of the month

0
There are planning areas in Berlin
0 EW
lived on 30.06.2019 in the 40 „smallest“ planning areas
0 EW
lived alone in „largest“ planning area, Pankow center
Source: Office for Statistics Berlin-Brandenburg
Values are partly rounded
0
Residents*innn were registered in Berlin on 31.12.2018.
0
Persons more than 2017
0 %
the proportion of foreigners in the population* at the end of 2018.
Source: Berlin-Brandenburg Office of Statistics
0
General practitioners and paediatricians work in Berlin in their own practice or as salaried employees.
0 %
was the level of care with family doctors in Berlin on 01.07.2017.
0
Patients are treated by a Berlin family doctor on average per day in Berlin, 2015.
Sources:
Number of doctors: Association of Statutory Health Insurance Physicians Berlin; https://www.kvberlin.de/30patienten/65zahlen/index.html
Supply level: Joint State Committee for Berlin; Update
Number of patients: Kassenärztliche Vereinigung Berlin; https://www.kvberlin.de/30patienten/65zahlen/index.html
Values are partly rounded
0 m.
Chocolate Santa Clauses were produced in Germany in 2017.
0 ha
Cultivated land was used for Christmas tree cultivation in Germany in 2018.
0
The average Christmas bonus (gross) will be paid to employees covered by collective bargaining agreements in Germany in 2018.
Sources:
Chocolate Santa Clauses: BDSI – Federal Association of the German Confectionery Industry e.V: Info graphic
Area:
Federal Statistical Office (Destatis): Subject-matter series 3 Series 3.1.2
Christmasmoney: Federal Statistical Office (Destatis): Press release
Values are partly rounded
0 EW
lived at the end of the 3rd quarter 2017 in the district of Dahme-Spreewald (LDS).
0 km²
The LDS.
0
was the gross domestic product in current prices per inhabitant in 2016 in the LDS.
Sources:
Inhabitants: Berlin-Brandenburg Office for Statistics, Statistical report A I 1 - vj 3 / 17, p. 7
Area: District of Dahme-Spreewald, Figures – Dates – Facts
BIP: Berlin-Brandenburg Office for Statistics, Statistical report P I 5 – j / 16, p. 14
Values are rounded
0 %
private German households were equipped with at least one bicycle in 2017.
0 %
of the population uses the bicycle at least once within a week.
0 %
of persons aged 14 and over used rent/hire bicycles on a medium working day in 2013.
Sources:
Household equipment: Current economic account (LWR) of the Federal Statistical Office
Frequency of use: Mobility Panel (MOP), Report 2016/2017, p. 89 – relating to the period 2013-2016
0 Car
were registered on 01.01.2017 in Dtschl. as purely electric or plug-in hybrid vehicle.
0 %
of German citizens can imagine buying an electric car.
0 m.
According to an OECD study, electric cars will be in stock worldwide in 2040.
Sources
Vehicle stock: KBA
Interest in buying: bitkom-study 2017
Stock forecast: OECD (2017), „Stock of electric cars by region, 2015 to 2040: IEA New Policy Scenario, million vehicles“, in sectoral outlookOECD Publishing, Paris, http://dx.doi.org/10.1787/9789282108000-graph60-en., p. 14
0 m.
Trucks were registered in Germany on 01.01.2017
0 %
of motorised urban transport is to be allocated to commercial transport
0 %
of urban nitrogen oxides (NO2) caused by traffic comes from light and heavy duty vehicles
Sources
Vehicle stock: KBA/ZFZR
Share of commercial transport (based on volume/number of trips): SenUVK (2003) Urban Development Plan Transport "Mobil 2010", p. 32.
Nitrogen oxides: UBA/TREMOD 5.64/HBEFA 3.3)
Knowledge-based planning in the field of commercial transport is particularly challenging due to the limited availability of robust data, and in this field too, new data sources need to be found and innovative ways of obtaining information need to be explored.
0 m.
Nights spent in EU tourist accommodation establishments in 2017
0 m.
Overnight stays in German tourist accommodation establishments in 2017
0 %
more overnight stays in German accommodation establishments than in 2016
The number of nights includes nights spent by residents and non-residents on both business and holiday trips, and is partly based on estimates based on available data.
Source: Eurostat 2018 (Press release)
0 million tons
Quantity transported in 2016 in Dtschl. were handled by combined transport
0 million TEU
were transported in 2016 in Dtschl. by rail
0 million TEU
were transported in 2016 in Dtschl. by barge
The data is on total traffic, i.e. including traffic from and to foreign countries as well as transit traffic.
TEU = Twenty-foot equivalent unit (20-foot unit; container of approx. 6 m length)
Source: destatis 2017 (professional series 8)

interactive statistics