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Background:


This study stemmed from the preparatory work for the Bartlett,
UCL research project Adaptable Suburbs


Project Team: Professor Laura Vaughan, Dr Sam Griffiths, Professor
Muki Haklay, Dr Claire Ellul, Dr Victor Buchli, Ashley Dhanani and
David Jeevendrampillai


 ‘Astudy of the relationship between networks of
 human activity and the changing form of urban and
          suburban centres through time’
Origin of this study:


For the Adaptable Suburbs research project the street network
system of London has to be reconstructed for four historic periods
and analysed.

The question that originated the evaluation of the street network
data was: ‘Which data sets should we use as the basis for the
reconstruction of the historic street network of London?’


Three network datasets were available to us for this study:

       1. Commercial: Ordnance Survey Integrated Transport
Network: ITN
       2. User Generated: Open Street Map: OSM
       3. Reference: Pre-existing Axial Space Syntax Model of
London: Axial
Comparison of geographic structure



            ITN                 OSM          Axial




                         ITN : OSM : Axial
                            ITN : Axial
Comparison of network length and number of segments




  London wide network (2,900km2)
                                 OSM         ITN       AXIAL
             Total Length (km)   29,700     26,027     20,039
            Number of Segments   718,118   1,213,646   453,562




  Surbiton case study network (110km2)
                                 OSM         ITN       AXIAL
             Total Length (km)   1,456       1,197      1,075
            Number of Segments   37,585    58,293      20,637
Space syntax analysis of Surbiton case study network models




- Analysed in Depthmap.

- Angular segment analysis of choice and integration.

- Utilised segment length weighted analysis (Turner, 2007) for road
  centre line data to compensate for many shorter lines.

- Results compared visually as direct comparisons of values are
  very difficult in such dissimilar network models.
Axial Model           ITN Model            OSM Model




              Surbiton - Choice Radius n
Axial Model             ITN Model              OSM Model




              Surbiton - Choice Radius 2000m
Axial Model             ITN Model               OSM Model




              Surbiton - Integration Radius n
Axial Model               ITN Model                OSM Model




              Surbiton - Integration Radius 800m
Topological step depth analysis


              Topological Step   OSM    ITN   AXIAL
                   Depth
                   Mean           90    197    49
                  Median          94    204    50
                 Maximum          197   422    90
                   Mode           106   224    44
Metric step depth analysis
- All models show the same structur
growth in regards to segments over s

-Although with very different number
Segments involved.

-Axial model is a simplification of the
structures and road geometry.
Connectivity analysis

                        -ITN and OSM show the same connectiv
                        properties.

                        -Axial model shows very different co
                        structure.

                        -Further evaluation required of conn
                        properties.
Summary


          ITN – Most reliable and complete data set but it is
          too detailed for space syntax analysis and
          therefore must be cleaned to remove extraneous
          features. Lacks non-road routes through the
          urban fabric – represents a model of vehicular-
          accessible network.

          OSM – Not reliable in its coverage or methods of
          data creation but it is a very interesting
          representation of the city as seen through the
          eyes of those who inhabit the space. Contains
          features that commercial data does not. Useful as
          supplementary data.

          Axial – This is a different entity to the other
          models. It represents space in a completely
          different way. A powerful model but extremely
          time consuming to construct. Questions as to its
          representation of complex features – not enough
Conclusion

 Work has to be done to reconcile the underlying
 model of space and its implicit account of what is
 meaningful in space with the analytical toolkit of
 space syntax analysis.

        -Vital in further developing angular
 segment analysis.
        -Integrating street network and built
 form for holistic      analysis of urban structure
 and function.

 Analysis raises important questions as to what
 should be represented and how: pedestrian-only
 routes, angular changes in street alignment, etc.

 The question of how we represent the real-world
 through data is one that must be carefully
 considered otherwise the analysis that stems
 from it can be easily undermined

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SSS8 - From the Axial Line to the Walked Line

  • 1.
  • 2. Background: This study stemmed from the preparatory work for the Bartlett, UCL research project Adaptable Suburbs Project Team: Professor Laura Vaughan, Dr Sam Griffiths, Professor Muki Haklay, Dr Claire Ellul, Dr Victor Buchli, Ashley Dhanani and David Jeevendrampillai ‘Astudy of the relationship between networks of human activity and the changing form of urban and suburban centres through time’
  • 3. Origin of this study: For the Adaptable Suburbs research project the street network system of London has to be reconstructed for four historic periods and analysed. The question that originated the evaluation of the street network data was: ‘Which data sets should we use as the basis for the reconstruction of the historic street network of London?’ Three network datasets were available to us for this study: 1. Commercial: Ordnance Survey Integrated Transport Network: ITN 2. User Generated: Open Street Map: OSM 3. Reference: Pre-existing Axial Space Syntax Model of London: Axial
  • 4.
  • 5.
  • 6.
  • 7.
  • 8. Comparison of geographic structure ITN OSM Axial ITN : OSM : Axial ITN : Axial
  • 9. Comparison of network length and number of segments London wide network (2,900km2) OSM ITN AXIAL Total Length (km) 29,700 26,027 20,039 Number of Segments 718,118 1,213,646 453,562 Surbiton case study network (110km2) OSM ITN AXIAL Total Length (km) 1,456 1,197 1,075 Number of Segments 37,585 58,293 20,637
  • 10. Space syntax analysis of Surbiton case study network models - Analysed in Depthmap. - Angular segment analysis of choice and integration. - Utilised segment length weighted analysis (Turner, 2007) for road centre line data to compensate for many shorter lines. - Results compared visually as direct comparisons of values are very difficult in such dissimilar network models.
  • 11. Axial Model ITN Model OSM Model Surbiton - Choice Radius n
  • 12. Axial Model ITN Model OSM Model Surbiton - Choice Radius 2000m
  • 13. Axial Model ITN Model OSM Model Surbiton - Integration Radius n
  • 14. Axial Model ITN Model OSM Model Surbiton - Integration Radius 800m
  • 15. Topological step depth analysis Topological Step OSM ITN AXIAL Depth Mean 90 197 49 Median 94 204 50 Maximum 197 422 90 Mode 106 224 44
  • 16. Metric step depth analysis
  • 17. - All models show the same structur growth in regards to segments over s -Although with very different number Segments involved. -Axial model is a simplification of the structures and road geometry.
  • 18. Connectivity analysis -ITN and OSM show the same connectiv properties. -Axial model shows very different co structure. -Further evaluation required of conn properties.
  • 19. Summary ITN – Most reliable and complete data set but it is too detailed for space syntax analysis and therefore must be cleaned to remove extraneous features. Lacks non-road routes through the urban fabric – represents a model of vehicular- accessible network. OSM – Not reliable in its coverage or methods of data creation but it is a very interesting representation of the city as seen through the eyes of those who inhabit the space. Contains features that commercial data does not. Useful as supplementary data. Axial – This is a different entity to the other models. It represents space in a completely different way. A powerful model but extremely time consuming to construct. Questions as to its representation of complex features – not enough
  • 20. Conclusion Work has to be done to reconcile the underlying model of space and its implicit account of what is meaningful in space with the analytical toolkit of space syntax analysis. -Vital in further developing angular segment analysis. -Integrating street network and built form for holistic analysis of urban structure and function. Analysis raises important questions as to what should be represented and how: pedestrian-only routes, angular changes in street alignment, etc. The question of how we represent the real-world through data is one that must be carefully considered otherwise the analysis that stems from it can be easily undermined