Spatial Morphology Lab 01. International laboratory for comparative research in urban form. Street networks, Sweden

SND-ID: SND 1153

Description Data and documentation

Creator/Principal investigator(s)

Lars Marcus - Chalmers University of Technology, Department of Architecture and Civil Engineering orcid

Meta Berghauser Pont - Chalmers University of Technology, Department of Architecture and Civil Engineering orcid

Ioanna Stavroulaki - Chalmers University of Technology, Department of Architecture and Civil Engineering orcid

Evgeniya Bobkova - Chalmers University of Technology, Department of Architecture and Civil Engineering orcid

Ehsan Abshirini - Royal Institute of Technology orcid

... Show more..

Description

GIS-datasets for the Street networks of Stockholm, Gothenburg and Eskilstuna produced as part of the Spatial Morphology Lab (SMoL).

The goal of the SMoL project is to develop a strong theory and methodology for urban planning & design research with an analytical approach. Three frequently recurring variables of spatial urban form are studied that together quite well capture and describe the central characteristics and qualities of the built environment: density, diversity and proximity.

The first measure describes how intensive a place can be used depending on how much built up area is found there. The second measure captures how differentiated the use of a place can be depending on the division in smaller units such as plots. The third measure describes how accessible a place is depending on how it relates with other places. Empirical studies have shown strong links between these metrics and people's use of cities such as pedestrian movement patterns.

To support this goal, a central objective of the project is the establishment of an international platform of GIS data models for compara

... Show more..

Language

English

Research principal, contributors, and funding

Contributor(s)

Miguel Serra - Universidade do Porto, Faculdade de Engenharia orcid

Delft University of Technology (TU Delft)

University College London

Funding

  • Funding agency: Chalmers University of Technology
Protection and ethical review

Data contains personal data

No

Method and time period

Time period(s) investigated

2016-01-01–2016-01-01

Geographic coverage

Geographic spread

Geographic location: Stockholm Municipality, Eskilstuna Municipality, Västra Götaland County, Göteborg Municipality, Netherlands

Geographic description: The data cover three cities in Sweden (Stockholm, Gothenburg and Eskilstuna) and Amsterdam in the Netherlands. The study areas include the metropolitan areas of the cities, which span out of their municipal boundaries and include the whole urbanised areas. To define these metropolitan areas, we used the Urban Morphological Zone (UMZ) boundaries, as they are defined by the European Environment Agency (EEA) and the Eurostat for all European cities. Urban morphological zones (UMZ) are defined by Corine land cover classes that are considered to contribute to the urban tissue and function (source: http://www.eea.europa.eu/data-and-maps/data/urban-morphological-zones-2006 (download date 13-7-2016). A UMZ can be defined as a set of urban areas laying less than 200m apart. UMZ boundaries are used for the statistical comparisons between the cities of the European Union. However, because of their highly irregular shapes which could become problematic for spatial analysis, what was instead used as the boundary of each study area, was the convex hull of each UMZ.

Publications

Sort by name | Sort by year

Berghauser Pont Meta, Stavroulaki Gianna, Bobkova Evgeniya, Gil Jorge, Marcus Lars, Olsson Jesper, Sun Kailun, Serra Miguel, Hausleitner Birgit, Dhanani Ashley, Legeby Ann, (2019), ‘The spatial distribution and frequency of street, plot and building types across five European cities’, in: Environment and Planning B, Urban analytics and City science, Vol. 46(7) 1226–1242, doi:10.1177/2399808319857450
DOI: https://doi.org/10.1177/2399808319857450

Bobkova, J., L. Marcus, M. Berghauser Pont, (2017). Spatial Capacity: Introducing multivariable measures of urban form that influences urban diversity, The 11th Space Syntax Symposium (SSS11), in: Proceedigns,11th International Space Syntax Symposium, (ed. Heitor T, Serra M, Silva M, Becharel M, da Silva L), Instituto Superior Técnico, Departamento de Engenharia Civil, Arquitetura e Georrecursos, Portugal, University of Lisbon

Bobkova, E., 2019. Towards a theory of natural occupation: developing theoretical, methodological and empirical support for the relation between plot systems and urban processes. Doctoral Thesis. Chalmers University of technology, Gothenburg, Sweden.

Stavroulaki Gianna, Bolin David, Berghauser Pont Meta, Marcus Lars, Håkansson Erik, (2019), "Statistical modelling and analysis of big data on pedestrian movement", in: Proceedings,12th International Space Syntax Symposium, Beijing Jiaotong University, Beijing , 79.1-79.18

Berghauser Pont Meta, Stavroulaki Gianna, Marcus Lars, (2019), ‘Development of urban types based on network centrality, built density and their impact on pedestrian movement’, in: Environment and Planning B, Urban analytics and City science, Vol. 46(8) 1549-1564, doi:10.1177/2399808319852632

Bobkova, E., Berghauser Pont, M., & Marcus, L. (2019). Towards analytical typologies of plot systems: Quantitative profile of five European cities. Environment and Planning B: Urban Analytics and City Science. https://doi.org/10.1177/2399808319880902

Marcus Lars, Berghauser Pont Meta, Stavroulaki Gianna, Bobkova Engeniya (2017), ‘Location-based density and differentiation – adding attraction variables to space syntax’, in: ISUF 2017 XXIV international conference: City and territory in the globalization age, Valencia, 27-29/9/2017
DOI: https://doi.org/10.4995/ISUF2017.2017.5706

Berghauser Pont Meta, Stavroulaki Gianna, Gil Jorge, Hausleitner Birgit, Marcus Lars, Abshirini Ehsan, Olsson Jesper, Dhanani Ashley (2017), ‘Quantitative Comparison of Cities: Distribution of Street and Building Types Based on Density and Centrality Measures’, in: Proceedigns,11th International Space Syntax Symposium, (ed. Heitor T, Serra M, Silva M, Becharel M, da Silva L), Instituto Superior Técnico, Departamento de Engenharia Civil, Arquitetura e Georrecursos, Portugal, University of Lisbon, 44.1-44.18

Bobkova E, Marcus L, Berghauser Pont M, Stavroulaki G, Bolin D (2019) Structure of Plot Systems and Economic Activity in Cities: Linking Plot Types to Retail and Food Services in London, Amsterdam and Stockholm. Urban Science, 3 (3), 66, https://doi.org/10.3390/urbansci3030066

Marcus L, Heyman A, Hellervik A, Stavroulaki G (2019) Empirical support for a theory of spatial capital. Housing prices in Oslo and land values in Gothenburg, In: Proceedings of 12th International Space Syntax symposium, pp. 79.1-79-24.

Berghauser Pont Meta, Stavroulaki Gianna, Sun Kailun, Abshirini Ehsan, Olsson Jesper, Marcus Lars (2017), ‘Quantitative comparison of the distribution of densities in three Swedish cities’, in: ISUF 2017 XXIV international conference: City and territory in the globalization age, Valencia, 27-29/9/2017
DOI: https://doi.org/10.4995/ISUF2017.2017.5317

If you have published anything based on these data, please notify us with a reference to your publication(s). If you are responsible for the catalogue entry, you can update the metadata/data description in DORIS.

Dataset 1
Non-Motorised network of Gothenburg

Description

The street network GIS-maps include motorised and non-motorised networks. The non-motorized networks include all streets and paths that are accessible for people walking or cycling, including those that are shared with vehicles. All streets where walking or cycling is forbidden, such as motorways, highways, or high-speed tunnels, are not included in the network.

The non-motorised network layers for Stockholm and Eskilstuna are based on the Swedish national road database, NVDB (Nationell Vägdat

... Show more..

Version 1.0

Citation

Ioanna Stavroulaki, Meta Berghauser Pont, Lars Marcus, Kailun Sun. Chalmers University of Technology, Department of Architecture and Civil Engineering (2020). <em>Non-Motorised network of Gothenburg</em>. Swedish National Data Service. Version 1.0. <a href="https://doi.org/10.5878/x49h-pv07">https://doi.org/10.5878/x49h-pv07</a>

Download citation

Data format / data structure

Geospatial

Creator/Principal investigator(s)

Ioanna Stavroulaki - Chalmers University of Technology, Department of Architecture and Civil Engineering orcid

Meta Berghauser Pont - Chalmers University of Technology, Department of Architecture and Civil Engineering orcid

Lars Marcus - Chalmers University of Technology, Department of Architecture and Civil Engineering orcid

Kailun Sun - Chalmers University of Technology

Time period(s) investigated

2016-01-01–2016-01-01

Data collection

Variables

1

License

Creative Commons  Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
Dataset 2
Motorised network of Gothenburg

Description

The street network GIS-maps include motorised and non-motorised networks. The motorised networks exclude all streets that are pedestrian-only and were cars are excluded. The network layers are based on the Swedish national road database, NVDB (Nationell Vägdatabas), downloaded from Trafikverket (https://lastkajen.trafikverket.se, date of download 15-5-2016, last update 8-11-2015). The original road-centre-line maps of all cities were edited based on the same basic representational principles and

... Show more..

Version 1.0

Citation

Ioanna Stavroulaki, Meta Berghauser Pont, Lars Marcus, Kailun Sun. Chalmers University of Technology, Department of Architecture and Civil Engineering (2020). <em>Motorised network of Gothenburg</em>. Swedish National Data Service. Version 1.0. <a href="https://doi.org/10.5878/06c6-aw77">https://doi.org/10.5878/06c6-aw77</a>

Download citation

Data format / data structure

Geospatial

Creator/Principal investigator(s)

Ioanna Stavroulaki - Chalmers University of Technology, Department of Architecture and Civil Engineering orcid

Meta Berghauser Pont - Chalmers University of Technology, Department of Architecture and Civil Engineering orcid

Lars Marcus - Chalmers University of Technology, Department of Architecture and Civil Engineering orcid

Kailun Sun - Chalmers University of Technology

Time period(s) investigated

2016-01-01–2016-01-01

Variables

1

License

Creative Commons  Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
Dataset 3
Non-Motorised network of Stockholm

Description

The street network GIS-maps include motorised and non-motorised networks. The non-motorized networks include all streets and paths that are accessible for people walking or cycling, including those that are shared with vehicles. All streets where walking or cycling is forbidden, such as motorways, highways, or high-speed tunnels, are not included in the network.

The non-motorised network layers for Stockholm and Eskilstuna are based on the Swedish national road database, NVDB (Nationell Vägdat

... Show more..

Version 1.0

Citation

Ioanna Stavroulaki, Meta Berghauser Pont, Lars Marcus, Kailun Sun, Ann Legeby. Chalmers University of Technology, Department of Architecture and Civil Engineering (2020). <em>Non-Motorised network of Stockholm</em>. Swedish National Data Service. Version 1.0. <a href="https://doi.org/10.5878/hfww-5y22">https://doi.org/10.5878/hfww-5y22</a>

Download citation

Data format / data structure

Geospatial

Creator/Principal investigator(s)

Ioanna Stavroulaki - Chalmers University of Technology, Department of Architecture and Civil Engineering orcid

Meta Berghauser Pont - Chalmers University of Technology, Department of Architecture and Civil Engineering orcid

Lars Marcus - Chalmers University of Technology, Department of Architecture and Civil Engineering orcid

Kailun Sun - Chalmers University of Technology

Ann Legeby - Royal Institute of Technology orcid

Time period(s) investigated

2016-01-01–2016-01-01

Variables

1

License

Creative Commons  Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
Dataset 4
Motorised network of Stockholm

Description

The street network GIS-maps include motorised and non-motorised networks. The motorised networks exclude all streets that are pedestrian-only and were cars are excluded. The network layers are based on the Swedish national road database, NVDB (Nationell Vägdatabas), downloaded from Trafikverket (https://lastkajen.trafikverket.se, date of download 15-5-2016, last update 8-11-2015). The original road-centre-line maps of all cities were edited based on the same basic representational principles and

... Show more..

Version 1.0

Citation

Ioanna Stavroulaki, Meta Berghauser Pont, Lars Marcus, Kailun Sun, Ann Legeby. Chalmers University of Technology, Department of Architecture and Civil Engineering (2020). <em>Motorised network of Stockholm</em>. Swedish National Data Service. Version 1.0. <a href="https://doi.org/10.5878/24nd-ev66">https://doi.org/10.5878/24nd-ev66</a>

Download citation

Data format / data structure

Geospatial

Creator/Principal investigator(s)

Ioanna Stavroulaki - Chalmers University of Technology, Department of Architecture and Civil Engineering orcid

Meta Berghauser Pont - Chalmers University of Technology, Department of Architecture and Civil Engineering orcid

Lars Marcus - Chalmers University of Technology, Department of Architecture and Civil Engineering orcid

Kailun Sun - Chalmers University of Technology

Ann Legeby - Royal Institute of Technology orcid

Time period(s) investigated

2016-01-01–2016-01-01

Data collection

Variables

1

License

Creative Commons  Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
Dataset 5
Non-Motorised network of Eskilstuna

Description

The street network GIS-maps include motorised and non-motorised networks. The non-motorized networks include all streets and paths that are accessible for people walking or cycling, including those that are shared with vehicles. All streets where walking or cycling is forbidden, such as motorways, highways, or high-speed tunnels, are not included in the network.

The non-motorised network layers for Stockholm and Eskilstuna are based on the Swedish national road database, NVDB (Nationell Vägdat

... Show more..

Version 1.0

Citation

Ioanna Stavroulaki, Meta Berghauser Pont, Lars Marcus, Kailun Sun. Chalmers University of Technology, Department of Architecture and Civil Engineering (2020). <em>Non-Motorised network of Eskilstuna</em>. Swedish National Data Service. Version 1.0. <a href="https://doi.org/10.5878/0pnq-sm82">https://doi.org/10.5878/0pnq-sm82</a>

Download citation

Data format / data structure

Geospatial

Creator/Principal investigator(s)

Ioanna Stavroulaki - Chalmers University of Technology, Department of Architecture and Civil Engineering orcid

Meta Berghauser Pont - Chalmers University of Technology, Department of Architecture and Civil Engineering orcid

Lars Marcus - Chalmers University of Technology, Department of Architecture and Civil Engineering orcid

Kailun Sun - Chalmers University of Technology

Time period(s) investigated

2016-01-01–2016-01-01

Variables

1

License

Creative Commons  Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
Dataset 6
Motorised network of Eskilstuna

Description

The street network GIS-maps include motorised and non-motorised networks. The motorised networks exclude all streets that are pedestrian-only and were cars are excluded. The network layers are based on the Swedish national road database, NVDB (Nationell Vägdatabas), downloaded from Trafikverket (https://lastkajen.trafikverket.se, date of download 15-5-2016, last update 8-11-2015). The original road-centre-line maps of all cities were edited based on the same basic representational principles and

... Show more..

Version 1.0

Citation

Ioanna Stavroulaki, Meta Berghauser Pont, Lars Marcus, Kailun Sun. Chalmers University of Technology, Department of Architecture and Civil Engineering (2020). <em>Motorised network of Eskilstuna</em>. Swedish National Data Service. Version 1.0. <a href="https://doi.org/10.5878/m5h3-be44">https://doi.org/10.5878/m5h3-be44</a>

Download citation

Data format / data structure

Geospatial

Creator/Principal investigator(s)

Ioanna Stavroulaki - Chalmers University of Technology, Department of Architecture and Civil Engineering orcid

Meta Berghauser Pont - Chalmers University of Technology, Department of Architecture and Civil Engineering orcid

Lars Marcus - Chalmers University of Technology, Department of Architecture and Civil Engineering orcid

Kailun Sun - Chalmers University of Technology

Time period(s) investigated

2016-01-01–2016-01-01

Variables

1

License

Creative Commons  Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
Dataset 7
Motorised network of Västra Götaland

Description

The street network GIS-maps include motorised and non-motorised networks. The motorised networks exclude all streets that are pedestrian-only and were cars are excluded. The network layers are based on the Swedish national road database, NVDB (Nationell Vägdatabas), downloaded from Trafikverket (https://lastkajen.trafikverket.se, date of download 15-5-2016, last update 8-11-2015). The original road-centre-line maps of all cities were edited based on the same basic representational principles and

... Show more..

Version 1.0

Citation

Ioanna Stavroulaki, Meta Berghauser Pont, Lars Marcus. Chalmers University of Technology, Department of Architecture and Civil Engineering (2020). <em>Motorised network of Västra Götaland</em>. Swedish National Data Service. Version 1.0. <a href="https://doi.org/10.5878/c1fs-nz41">https://doi.org/10.5878/c1fs-nz41</a>

Download citation

Data format / data structure

Geospatial

Creator/Principal investigator(s)

Ioanna Stavroulaki - Chalmers University of Technology, Department of Architecture and Civil Engineering orcid

Meta Berghauser Pont - Chalmers University of Technology, Department of Architecture and Civil Engineering orcid

Lars Marcus - Chalmers University of Technology, Department of Architecture and Civil Engineering orcid

Time period(s) investigated

2016-01-01–2016-01-01

Variables

1

License

Creative Commons  Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
Published: 2020-11-16
Last updated: 2021-05-24