Abstract
The research presented here deals with pedestrian movement in two adjacent areas located in the city of Tel-Aviv that were established in different periods and according to different city planning doctrines: pre-modern and modern urban planning. Consequently, these areas differ in the street network spatial-configurational attributes and in the functional built environment attributes. Statistical and geographical analysis showed that in spite of their physical proximity, the two areas examined in this study differed significantly in the volume and the geographical distribution of pedestrian movement as well as in the explaining attributes of this distribution. It was found that in pre-modern environment, pedestrian movement is more predictable and has higher correlation to the spatial-configurational attributes of street network than in modern environment. The findings of this research can contribute to a greater understanding of the factors that shape pedestrian movement in pre-modern and modern urban environments.
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References
Chu SCH (2005) When and why do people walk in the city: the influence of urban elements on time-pattern of pedestrian movement. In: 6th international Walk 21 conference in Zurich
Hillier B (1996) Space is the Machine. Cambridge University Press, Cambridge
Hillier B (2002) A theory of the city as object: or, how spatial laws mediate the social construction of urban space. Urban Des Int 7:153–179
Hillier B, Penn A, Hanson J, Grajewski T, Xu J (1993) Natural movement: or, configuration and attraction in Urban pedestrian movement. Environ Plann B: Plann Des 20:29–66
Hillier B, Iida S (2005) Network effects and psychological effects: a theory of urban movement. In: 5th International space syntax symposium in Delft
Jiang B (2009a) Ranking spaces for predicting human movement in an urban environment. Int J Geograph Inf Sci 23(7):823–837
Jiang B (2009b) Street Hierarchies: a minority of streets account for a majority of traffic flow. Int J Geograph Inf Sci 23(8):1033–1048
Jiang B, Claramunt C (2004) A structural approach to the model generalization of an urban street network. Geo Informatica 8:157–171
Marom N (2009) City of concept: planning Tel-Aviv. Babel Press, Tel-Aviv in Hebrew
Ozbil A, Peponis J, Stone B (2011) Understanding the link between street connectivity, land use and pedestrian flows. Urban Des Int 16:125–141
Ozer O, Kubat AS (2007) Walking initiatives: a quantitative movement analysis. In: 6th International space syntax symposium in Istanbul
Penn A, Hillier B, Banister D, Xu J (1998) Configurational modeling of urban movement networks. Environ Plann B: Plann Des 25:59–84
Raford N, Ragland DR (2006) Pedestrian volume modeling for traffic safety and exposure analysis: case of Boston. Massachusetts. Transportation research board 85th annual meeting
Read S (1999) Space syntax and the Dutch city. Environ Plann B: Plann Des 26:251–264
Turner A (2007) From axial to road-centre lines: a new representation for space syntax and a new model of route choice for transport network analysis. Environ Plann B: Plann Des 34:539–555
Zhang L, Zhuang Y, Dai X (2012) A configurational study of pedestrian flows in multi-level commercial space. Case study Shanghai. In: 8th International space syntax symposium in Santiago de Chile
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Appendix 1
Appendix 1
1.1 Bivariate Correlation of the Segment Based Variables
The R² values for the correlation between the pedestrian movement and segment based variables are shown in Table 4. Both geometric and metric variables are shown in various radii defined in meters. Variables with no radius in their name are global variables and are calculated with no limiting radius.
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MDR = Geometric Mean Depth
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MMDR = Metric Mean Depth
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Tch = Geometric Choice
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Mch = Metric Choice
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Lerman, Y., Omer, I. (2013). The Effects of Configurational and Functional Factors on the Spatial Distribution of Pedestrians. 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_22
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