Evaluating Neighbourhood Accessibility: A Spatial Analysis of Walking Preferences
DOI:
https://doi.org/10.61841/4arhcq76Keywords:
Spatial Layout, Choice of Mode, Space Syntax, Integration, LanduseAbstract
This study aims to examine how spatial layout affects parent decision-making of mode choice for school. The spatial layout of the neighbourhood has been analyzed within the scope of integration, connectivity, and street network by using Space Syntax’s axial analysis model. To analyse the spatial quantitative, two parameters in Space Syntax were used: global (Rn) and local integration (R3) to measure the network configuration of street design in the neighbourhood within an 800-meter radius from schools in two different neighbourhoods. The purpose of comparing two (2) different neighbourhood densities and layout patterns—grid and curvilinear—is to hypothesise which built environment characteristics have a strong association with mode choice. The result indicates that the very grid with mainly linear, shortest paths and block lengths that are accessible within children's walking range is significantly correlated with their choice of school. It is proposed in this paper that streets with a high degree of integration and a school that is adjacent to main streets with the co-presence of attractors such as shophouses, offices, restaurants, open spaces, and other service providers encourage schoolchildren to walk to and from school. This research improves our understanding of the spatial layout of residential buildings and exerts a powerfully influenced children's active mobility, and a syntax-based study helps to design better-connected street networks in the neighbourhood.
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References
[1] Aditjandra, P. T., Mulley, C., and Nelson, J. D. (2013). The influence of neighbourhood design on travel
behaviour: Empirical evidence from North East England. Transport Policy, 26, 54-65.
[2] Baran, P. K., Rodríguez, D. A., and Khattak, A. J. (2008). Space syntax and walking in a new urbanist and
suburban neighbourhoods. Journal of Urban Design, 13(1), 5-28.
[3] Broberg, A., and Sarjala, S. (2015). School travel mode choice and the characteristics of the urban built
environment: the case of Helsinki, Finland. Transport Policy, 37, 1-10.
[4] Chen, C., Gong, H., and Paaswell, R. (2008). Role of the built environment on mode choice decisions:
additional evidence on the impact of density. Transportation, 35(3), 285-299.
[5] Curtis, C., Babb, C., and Olaru, D. (2015). Built environment and children's travel to school. Transport
Policy, 42, 21-33.
[6] Ghekiere, A., Carver, A., Veitch, J., Salmon, J., Deforche, B., and Timperio, A. (2016). Does parental
accompaniment when walking or cycling moderates the association between physical neighbourhood
environment and active transport among 10–12 year olds? Journal of Science and Medicine in Sport, 19(2),
149-153.
[7] Giles-Corti, B., Wood, G., Pikora, T., Learnihan, V., Bulsara, M., Van Niel, K., and Villanueva, K. (2011).
School site and the potential to walk to school: The impact of street connectivity and traffic exposure in
school neighborhoods. Health and Place, 17(2), 545-550.
[8] Hannah W., Samuel W., Josef, H., and Felicitas Z. D. (2017). Cities alive. Designing for urban childhoods.
ARUP.
[9] Hashim, H., Hashim, S. F., Abdullah, Y. A., and Nasrudin, N. (2019). Assessing the residential and schools’
surrounding environments for child-friendliness in Precinct 11 Putrajaya, Journal of Advanced Research in
Social Sciences and Humanities, 2 (4), 136-149.
[10] He, S. Y., and Giuliano, G. (2017). Factors affecting children’s journeys to school: a joint escort-mode
choice model. Transportation, 44(1), 199-224.
[11] Hillier, B., and Iida, S. (2005). Network effects and psychological effects: a theory of urban movement.
In Proceedings of the 5th International Symposium on Space Syntax, 1, 553-564, Delft: TU Delft.
[12] Hillier, B. (2007). Space is the machine: a configurational theory of architecture. Space Syntax.
[13] Hillier, W. R. G., Yang, T., and Turner, A. (2012). Normalising least angle choice in Depthmap-and how it
opens up new perspectives on the global and local analysis of city space. Journal of Space syntax, 3(2), 155-
193.
[14] Irvin, K. (2008). How far, by which route, and why? A spatial analysis of pedestrian preference. Journal of
urban design, 13(1), 81-98.
[15] Larsen, K., Gilliland, J., and Hess, P. M. (2012). Route-based analysis to capture the environmental
influences on a child's mode of travel between home and school. Annals of the Association of American
Geographers, 102(6), 1348-1365.
[16] Larsen, K., Buliung, R. N., and Faulkner, G. E. (2015). School travel route measurement and built
environment effects in models of children’s school travel behavior. Journal of Transport and Land Use,
9(2).
[17] Mitra, R., and Buliung, R. N. (2015). Exploring differences in school travel mode choice behaviour between
children and youth. Transport Policy, 42, 4-11.
[18] Nasrudin, N., and Nor, A. R. M. (2013). Travelling to school: transportation selection by parents and
awareness towards sustainable transportation. Procedia Environmental Sciences, 17, 392-400.
[19] Özbil, A., Yeşiltepe, D., and Argin, G. (2015). Modeling walkability: The effects of street design, street network configuration, and land use on pedestrian movement. A| Z ITU Journal of the Faculty of
Architecture, 12(3), 189-207.
[20] Ozbil, A., Peponis, J., and Stone, B. (2011). Understanding the link between street connectivity and land use
and pedestrian flows. Urban Design International, 16(2), 125-141.
[21] Rothman, L., Buliung, R., To, T., Macarthur, C., Macpherson, A., and Howard, A. (2015). Associations
between parents perception of traffic danger, the built environment, and walking to school. Journal of
Transport & Health, 2(3), 327-335.
[22] Rojas Lopez, M. C., and Wong, Y. D. (2017). Children’s active trips to school: a review and analysis.
International Journal of Urban Sustainable Development, 9(1), 79-95.
[23] Sarmiento, O. L., Lemoine, P., Gonzalez, S. A., Broyles, S. T., Denstel, K. D., Larouche, R., and Hu, G.
(2015). Relationships between active school transport and adiposity indicators in school-age children from
low-, middle-, and high-income countries. International Journal of Obesity Supplements, 5(S2), 107.
[24] Sharmin, S., and Kumaruzzaman, M. (2017). Association between the built environment and children's
Independent mobility: A meta-analytic review. Journal of Transport Geography, 61, 104-117.
[25] Urry, J. (2016). Mobilities: new perspectives on transport and society. Routledge.
[26] Waygood, E. O. D., and Susilo, Y. O. (2015). Walking to school in Scotland: do perceptions of
Does neighborhood quality matter? IATSS Research, 38(2), 125-129.
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