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A Visual Analytics Approach for Assessing Pedestrian Friendliness of Urban Environments

Part of the Lecture Notes in Geoinformation and Cartography book series (LNGC)

Abstract

The availability of efficient transportation facilities is vital to the function and development of modern cities. Promoting walking is crucial for supporting livable communities and cities. Assessing the quality of pedestrian facilities and constructing appropriate pedestrian walking facilities are important tasks in public city planning. Additionally, walking facilities in a community affect commercial activities including private investment decisions such as those of retailers. However, analyzing what we call pedestrian friendliness in an urban environment involves multiple data perspectives, such as street networks, land use, and other multivariate observation measurements, and consequently poses significant challenges. In this study, we investigate the effect of urban environment properties on pedestrian movement in different locations in the metropolitan region of Tel Aviv. The first urban area we investigated was the inner city of the Tel Aviv metropolitan region, one of the central regions in Tel Aviv, a city that serves many non-local residents. For simplicity, we refer to this area as Tel Aviv. We also investigated Bat Yam, a small city, whose residents use many of the services of Tel Aviv. We apply an improved tool for visual analysis of the correlation between multiple independent and one dependent variable in geographical context. We use the tool to investigate the effect of functional and topological properties on the volume of pedestrian movement. The results of our study indicate that these two urban areas differ greatly. The urban area of Tel Aviv has much more correspondence and interdependency among the functional and topological properties of the urban environment that might influence pedestrian movement. We also found that the pedestrian movements as well as the related urban environment properties in this region are distributed geographically in a more equal and organized form.

Keywords

  • Street Network
  • Urban Environment
  • Street Segment
  • Metropolitan Region
  • Street Connectivity

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Notes

  1. 1.

    The Survey of Israel, the Israeli official government agency for Mapping, Geodesy, Cadastre and Geoinformatics. Mapa is a private company. All data is updated to 2011.

References

  • Andrienko N, Andrienko G (2006) Exploratory analysis of spatial and temporal data—a systematic approach. Springer, Berlin

    Google Scholar 

  • Bak P, Omer I, Schreck T (2010) Visual analytics of urban environments using high-resolution geographic data. Geospatial Thinking 25–42

    Google Scholar 

  • Brewer C (2012) Color brewer 2.0

    Google Scholar 

  • Desyllas J, Duxbury E (2000) Planning for movement—measuring and modelling pedestrian flows in cities. In: Proceedings of the royal institute of chartered surveyors conference

    Google Scholar 

  • Desyllas J, Duxbury E, Ward J, Hudson-Smith A (2003) Pedestrian demand modelling of large cities: an applied example from London. CASA working papers

    Google Scholar 

  • Golledge R, Stimson R (1997) Spatial behavior: a geographic perspective. Guilford Press, New York

    Google Scholar 

  • Guo D, Gahegan M, MacEachren A, Zhou B (2005) Multivariate analysis and geovisualization with an integrated geographic knowledge discovery approach. Cartography Geogr Inf Sci 32(2):113

    CrossRef  Google Scholar 

  • Hillier B (1996) Space is the machine. Cambridge University Press, Cambridge

    Google Scholar 

  • Hillier B (2002) A theory of the city as object—or, how spatial laws mediate the social construction of urban space. Urban Des Int 7(3):153–179

    CrossRef  Google Scholar 

  • Hillier B, Penn A, Hansonand J, Grajewski T, Xu J (1993) Natural movement: or, configuration and attraction in urban pedestrian movement. Environ Plann B: Plann Des 20(1):29–66

    CrossRef  Google Scholar 

  • Inselberg A (2002) A survey of parallel coordinates. Math Vis 167–179

    Google Scholar 

  • Jiang B (2007) A topological pattern of urban street networks: Universality and peculiarity. Physica A 384(2):647–655

    CrossRef  Google Scholar 

  • Jiang B, Liu X (2010) Automatic generation of the axial lines of urban environments to capture what we perceive. Int J Geogr Inf Sci 24(4):545–558

    CrossRef  Google Scholar 

  • Jolliffe I (2002) Principal component analysis. Springer, New York

    Google Scholar 

  • Keim D, Kohlhammer J, Ellis G, Mansmann F (2011) Mastering the information age: Solving problems with visual analytics. Eurographics Assoc

    Google Scholar 

  • Kohonen T (2001) Self-organizing maps. Springer, Berlin

    Google Scholar 

  • Orellana D, Wachowicz M (2011) Exploring patterns of movement suspension in pedestrian mobility. Geogr Anal 43(3):241–260

    CrossRef  Google Scholar 

  • Ozbil A, Peponis J, Stone B (2011) Understanding the link between street connectivity, land use and pedestrian flows. Urban Des Int 125–141

    Google Scholar 

  • Ozer O, Kubat A (2007) Walking initiatives: a quantitative movement analysis. 6th international space syntax symposium

    Google Scholar 

  • Porta P, Crucitti P, Latora V (2006) The network analysis of urban streets: a primal approach. Environ Plann B: Plann Des 5(33):705–725

    CrossRef  Google Scholar 

  • Raford N, Ragland D (2006) Pedestrian volume modeling for traffic safety and exposure analysis: case of Boston, Massachusetts. Transportation research board 85th annual meeting

    Google Scholar 

  • Spielman S, Thill J (2008) Social area analysis, data mining, and gis. Comput Environ Urban Syst 32(2):110–122

    CrossRef  Google Scholar 

  • Thomas J, Cook K (2005) Illuminating the path: the research and development agenda for visual analytics. National visualization and analytics Ctr

    Google Scholar 

  • Torrens Paul M (2012) Moving agent pedestrians through space and time. Ann Assoc Am Geogr 102:35–66

    CrossRef  Google Scholar 

  • Turner A (2004) Depthmap 4—a researcher’s handbook. School of Graduate Studies, UCL, Bartlett

    Google Scholar 

  • Zampieri F, Rigatti D, Ugalde C (2009) Evaluated model of pedestrian movement based on space syntax, performance measures and artificial neural nets. In: Proceedings of the 7th international space syntax symposium, pp 1–8

    Google Scholar 

  • Zhang L, Zuhang Y, Dai X (2012) A configuration study of pedestrian flows in multi-level commercial space. In: Proceedings of the 8th international space syntax symposium

    Google Scholar 

  • Zook J, Lu Y, Glanz K, Zimring C (2012) Design and pedestrianism in a smart growth development. Environ Behav 44(2):216–234

    CrossRef  Google Scholar 

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Acknowledgments

We thank Sebastian Bremm and Tatiana von Landesberger of TU Darmstadt for fruitful discussions on the topic as part of a working group meeting of the DFG SPP 1335 on Scalable Visual Analytics.

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Correspondence to Tobias Schreck .

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Schreck, T., Omer, I., Bak, P., Lerman, Y. (2013). A Visual Analytics Approach for Assessing Pedestrian Friendliness of Urban Environments. In: Vandenbroucke, D., Bucher, B., Crompvoets, J. (eds) Geographic Information Science at the Heart of Europe. Lecture Notes in Geoinformation and Cartography. Springer, Cham. https://doi.org/10.1007/978-3-319-00615-4_20

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