The role of street network metrics in shaping distance distributions in a residential neighbourhood
DOI:
https://doi.org/10.12775/bgss-2023-0035Keywords
walkability, geography, planning & development, urban studies, space syntax, destination accessibility & network proximityAbstract
Walkability studies often rely on physical proximity metrics for destination accessibility. However, some recent studies argue that configuration (topological) distance provides a more accurate reflection of the actual distances experienced by individuals. This study therefore aims to test the extent to which an association exists between network-metric proximity to several destinations and two main measures of space syntax – integration and choice – in a dendriform network structure such as Putrajaya city (Malaysia). Using GIS, multiple buffer-service areas were generated around each housing unit (N = 2,392). Interpolation and space syntax analyses were conducted to assess metric and topological distance at local and global levels for each buffer. The statistical analysis showed that distances to commercial areas, transportation and average distances to all destinations were strongly affected by the syntactical properties of the neighbourhood. Moreover, global measures were more powerful in detecting metric-distance changes compared to local measures. Aligned with natural movement theory, these results support the idea that the spatial properties of urban form have a significant impact on distance distributions within residential settings, specifically distances to commercial areas. Therefore, policies that promote mixed-use development, especially in areas with good transportation access, should consider the impact of syntactical accessibility of the network.
References
Arranz-López, A., Soria-Lara, J. A., Witlox, F. & Páez, A. (2019). Measuring relative non-motorized accessibility to retail activities. International Journal of Sustainable Transportation, 13(9): 639–651. DOI: https://doi.org/10.1080/15568318.2018.1498563.
Azmi, D.I., Karim, H.A., & Amin, M.Z.M. (2012). Comparing the Walking Behaviour between Urban and Rural Residents. Procedia - Social and Behavioral Sciences, 68(7): 406–416. DOI: https://doi.org/10.1016/j.sbspro.2012.12.237.
Barr, A., Simons, K., Mavoa, S., Badland, H., Giles-Corti, B., Scheurer, J., Korevaar, E., Stewart, J. & Bentley, R. (2019). Daily walking among commuters: A cross-sectional study of associations with residential, work, and regional accessibility in Melbourne, Australia (2012–2014). Environmental Health Perspectives, 127(9): 1–12. DOI: https://doi.org/10.1289/EHP3395.
Batty, M. (2022). Integrating space syntax with spatial interaction. Urban Informatics, 1(1): 4. DOI: https://doi.org/10.1007/s44212-022-00004-2.
Berhie, G.K. (2016). The Effect of Spatial Configuration on Land Use and Transport Mode Choices: Space Syntax Exploration on Gridded and Non-Gridded American Cities (Issue August 2016).
Carlson, J.A., Frank, L.D., Ulmer, J., Conway, T.L., Saelens, B.E., Cain, K.L. & Sallis, J.F. (2018). Work and Home Neighborhood Design and Physical Activity. American Journal of Health Promotion, 32(8): 1723–1729. DOI: https://doi.org/10.1177/0890117118768767.
Carpio-Pinedo, J. (2014). Urban bus demand forecast at stop level: Space Syntax and other built environment factors. Evidence from Madrid. Procedia-Social and Behavioral Sciences, 160: 205–214.
Chiang, Y.-C., & Li, D. (2019). Metric or topological proximity? The associations among proximity to parks, the frequency of residents’ visits to parks, and perceived stress. Urban Forestry & Urban Greening, 38: 205–214. DOI: https://doi.org/https://doi.org/10.1016/j.ufug.2018.12.011.
Cutumisu, N. (2011). University of Alberta Movement-Attractors and Generic Neighbourhood Environment Traits The Association between Urban Form and Physical Activity by Doctor of Philosophy Faculty of Physical Education and Recreation.
Cutumisu, N. & Spence, J.C. (2009). Exploring associations between urban environments and children's physical activity: Making the case for space syntax. Journal of Science and Medicine in Sport, 12(5): 537.
De Vos, J., Lättman, K., van der Vlugt, A.-L., Welsch, J. & Otsuka, N. (2023). Determinants and effects of perceived walkability: a literature review, conceptual model and research agenda. Transport Reviews, 43(2): 303–324. DOI: https://doi.org/10.1080/01441647.2022.2101072.
Feng, C. & Peponis, J. (2021). Pathways to creating differentiated grids: Types, benefits and costs. Environment and Planning B: Urban Analytics and City Science, 49(2): 535–548. DOI: https://doi.org/10.1177/23998083211013818.
Field, Z., Miles, J. & Field, A. (2012). Discovering statistics using R. Discovering Statistics Using R, 1-992.
Frank, L.D., Sallis, J.F., Saelens, B.E., Leary, L., Cain, K., Conway, T.L. & Hess, P.M. (2009). The development of a walkability index: application to the Neighborhood Quality of Life Study. British journal of sports medicine. DOI: https://doi.org/10.1136/bjsm.2009.058701.
Grasser, G., van Dyck, D., Titze, S. & Stronegger, W.J. (2017). A European perspective on GIS-based walkability and active modes of transport. European Journal of Public Health, 27(1): 145–151. DOI: https://doi.org/10.1093/eurpub/ckw118.
Guo, Y. & Peeta, S. (2020). Impacts of personalized accessibility information on residential location choice and travel behavior. Travel Behaviour and Society, 19: 99–111.DOI: https://doi.org/10.1016/j.tbs.2019.12.007.
Habibian, M. & Hosseinzadeh, A. (2018). Walkability index across trip purposes. Sustainable Cities and Society, 42: 216–225. DOI: https://doi.org/10.1016/j.scs.2018.07.005.
Hahm, Y., Yoon, H., Jung, D. & Kwon, H. (2017). Do built environments affect pedestrians’ choices of walking routes in retail districts? A study with GPS experiments in Hongdae retail district in Seoul, South Korea. Habitat International, 70: 50–60. DOI: https://doi.org/10.1016/j.habitatint.2017.10.002.
Hillier, B. (2007). Space is the machine: a configurational theory of architecture. Space Syntax.
Hillier, B. & Hanson, J. (1984). The Social Logic of Space. Cambridge University Press. DOI: https://doi.org/10.1017/CBO9780511597237.
Hillier, B. & Iida, S. (2005). Network and psychological effects in urban movement. In International conference on spatial information theory. Berlin, Heidelberg: Springer Berlin Heidelberg.
Hillier, B., Turner, A., Yang, T. & Park, H. (2007). Metric and topo-geometric properties of urban street networks. Proceedings, 6th International Space Syntax Symposium, İstanbul, January 2007.
Hogendorf, M., Oude Groeniger, J., Noordzij, J.M., Beenackers, M.A. & van Lenthe, F.J. (2020). Longitudinal effects of urban green space on walking and cycling: A fixed effects analysis. Health and Place, 61: 102264. DOI: https://doi.org/10.1016/j.healthplace.2019.102264.
Jun, C., Kwon, J.H., Choi, Y. & Lee, I. (2006). An alternative measure of public transport accessibility based on space syntax. International Conference on Hybrid Information Technology, 281–291.
Kelly, J.A. & Fu, M. (2014). Sustainable school commuting - understanding choices and identifying opportunities. A case study in Dublin, Ireland. Journal of Transport Geography, 34: 221–230. DOI: https://doi.org/10.1016/j.jtrangeo.2013.12.010.
Koohsari, M.J., Kaczynski, A.T., Giles-Corti, B. & Karakiewicz, J.A. (2013). Effects of access to public open spaces on walking: Is proximity enough? Landscape and Urban Planning, 117: 92–99. DOI: https://doi.org/10.1016/j.landurbplan.2013.04.020.
Lee, S., Yoo, C. & Seo, K.W. (2020). Determinant factors of pedestrian volume in different land-use zones: Combining space syntax metrics with GIS-based built-environment measures. Sustainability, 12(20): 8647. DOI: https://doi.org/10.3390/su12208647.
Lerman, Y., Rofè, Y. & Omer, I. (2014). Using space syntax to model pedestrian movement in urban transportation planning. Geographical Analysis, 46(4): 392–410.
Lima, F.T., Brown, N.C. & Duarte, J.P. (2022). A Grammar-Based Optimization Approach for Designing Urban Fabrics and Locating Amenities for 15-Minute Cities. Buildings, 12(8): 1157. DOI: https://doi.org/10.3390/buildings12081157.
Liu, Y., Wei, X., Jiao, L. & Wang, H. (2016). Relationships between street centrality and land use intensity in Wuhan, China. Journal of Urban Planning and Development, 142(1): 5015001.
Mansouri, M. & Ujang, N. (2017). Space syntax analysis of tourists’ movement patterns in the historical district of Kuala Lumpur, Malaysia. Journal of Urbanism, 10(2): 163–180. DOI: https://doi.org/10.1080/17549175.2016.1213309.
Marshall, J.D., Brauer, M. & Frank, L.D. (2009). Healthy neighborhoods: walkability and air pollution. Environmental health perspectives, 117(11): 1752-1759.
Neatt, K., Millward, H. & Spinney, J. (2017). Neighborhood walking densities: A multivariate analysis in Halifax, Canada. Journal of Transport Geography, 61: 9–16. DOI: https://doi.org/10.1016/j.jtrangeo.2017.04.005.
Ozbil, A. & Peponis, J. (2012). The effects of urban form on walking to transit. Proceedings of the Eigth International Space Syntax Symposium, Santiago, Chile, 1–15.
Ozbil, A., Peponis, J. & Stone, B. (2011). Understanding the link between street connectivity , land use and pedestrian flows. Urban Design International, 16(2): 17–76. DOI: https://doi.org/10.1057/udi.2011.2.
Petrunoff, N.A., Yi, N.X., Dickens, B., Sia, A., Koo, J., Cook, A.R., Lin, W.H., Ying, L., Hsing, A.W., van Dam, R.M. & Müller-Riemenschneider, F. (2021). Associations of park access, park use and physical activity in parks with wellbeing in an Asian urban environment: a cross-sectional study. International Journal of Behavioral Nutrition and Physical Activity, 18(1): 87. DOI: https://doi.org/10.1186/s12966-021-01147-2.
Porta, S., Latora, V., Wang, F., Rueda, S., Strano, E., Scellato, S., Cardillo, A., Belli, E., Cardenas, F. & Cormenzana, B. (2012). Street centrality and the location of economic activities in Barcelona. Urban Studies, 49(7): 1471–1488.
Porta, S., Strano, E., Iacoviello, V., Messora, R., Latora, V., Cardillo, A., Wang, F. & Scellato, S. (2009). Street centrality and densities of retail and services in Bologna, Italy. Environment and Planning B: Planning and Design, 36(3): 450–465.
Rui, Y. & Ban, Y. (2014). Exploring the relationship between street centrality and land use in Stockholm. International Journal of Geographical Information Science, 28(7): 1425–1438.
Saari, N.S. (2019). Planning For Integrated Bus Stop Using Space Syntax Analysis. In Faculty of Built Enviroment and Surveying, Universiti Teknologi Malaysia. Universiti Teknologi Malaysia.
Scoppa, M.D. & Peponis, J. (2015). Distributed Attraction: The Effects of Street Network Connectivity upon the Distribution of Retail Frontage in the City of Buenos Aires. Environment and Planning B: Planning and Design, 42(2): 354–378. DOI: https://doi.org/10.1068/b130051p.
Sharifi, A. (2019). Resilient urban forms: A review of literature on streets and street networks. Building and Environment, 147: 171–187. DOI: https://doi.org/https://doi.org/10.1016/j.buildenv.2018.09.040.
Soltani, A., Javadpoor, M., Shams, F. & Mehdizadeh, M. (2022). Street network morphology and active mobility to school: Applying space syntax methodology in Shiraz, Iran. Journal of Transport & Health, 27: 101493. DOI: https://doi.org/https://doi.org/10.1016/j.jth.2022.101493.
Tang, B.-S., Wong, K.K.H., Tang, K.S.S., & Wai Wong, S. (2020). Walking accessibility to neighbourhood open space in a multi-level urban environment of Hong Kong. Environment and Planning B: Urban Analytics and City Science, 48(5): 1340–1356. DOI: https://doi.org/10.1177/2399808320932575.
Tiznado-Aitken, I., Muñoz, J.C. & Hurtubia, R. (2018). The role of accessibility to public transport and quality of walking environment on urban equity: the case of Santiago de Chile. Transportation Research Record, 2672(35): 129-138.
Tsou, K.-W. & Cheng, H.-T. (2013). The effect of multiple urban network structures on retail patterns–A case study in Taipei, Taiwan. Cities, 32: 13–23.
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. Environment and Planning B: planning and Design, 34(3): 539-555. DOI: https://doi.org/10.1068/b32067.
Vargo, J., Stone, B. & Glanz, K. (2012). Google walkability: a new tool for local planning and public health research? Journal of Physical Activity & Health, 9(5): 689–697. DOI: https://doi.org/10.1123/jpah.9.5.689.
Wagner, R. (2008). On the metric, topological and functional structures of urban networks. Physica A: Statistical Mechanics and its Applications, 387(8-9): 2120-2132. DOI: https://doi.org/10.1016/j.physa.2007.11.019.
Wang, F., Chen, C., Xiu, C. & Zhang, P. (2014). Location analysis of retail stores in Changchun, China: A street centrality perspective. Cities, 41: 54–63.
Zhang, R., Yao, E. & Liu, Z. (2017). School travel mode choice in Beijing, China. Journal of Transport Geography, 62:, 98–110. DOI: https://doi.org/10.1016/j.jtrangeo.2017.06.001.
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