The spatial configuration of local climate zones reveals effects on wayfinding in human walking
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study. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sci- ences, XLI-B2, 615–620. https://doi.org/10.5194/isprsarchives-XLI-B2-615-2016 34. Girres J.-F., & Touya G. (2010). Quality Assessment of the French OpenStreetMap Dataset. Transac- tions in GIS, 14(4), 435–459. https://doi.org/10.1111/j.1467-9671.2010.01203.xï 35. Xu F. F., Lin B. Y., Lu Q., Huang Y., & Zhu K. Q. (2016). Cross-region Traffic Prediction for China on OpenStreetMap. ISPRS International Journal of Geo-Information, 5(12), 232. https://doi.org/10.1145/ 3003965.3003972 36. Penn A. (2003). Space syntax and spatial cognition: Or why the axial line? Environment and Behavior, 35(1), 30–65. https://doi.org/10.1177/0013916502238864 37. Ma F. (2020). Spatial equity analysis of urban green space based on spatial design network analysis (sDNA): A case study of central Jinan, China. Sustainable Cities and Society, 60(May), 102256. https:// doi.org/10.1016/j.scs.2020.102256 38. Demuzere M., Kittner J., & Bechtel B. (2021). LCZ Generator: A Web Application to Create Local Cli- mate Zone Maps. Frontiers in Environmental Science, 9. https://doi.org/10.3389/fenvs.2021.637455 39. Bechtel B., Alexander P. J., Bo¨hner J., Ching J., Conrad O., Feddema J., et al (2015). Mapping local cli- mate zones for a worldwide database of the form and function of cities. ISPRS International Journal of Geo-Information, 4(1), 199–219. https://doi.org/10.3390/ijgi4010199 40. Conrad O., Bechtel B., Bock M., Dietrich H., Fischer E., Gerlitz L., et al (2015). System for Automated
Geoscientific Analyses (SAGA) v. 2.1.4. Geoscientific Model Development, 8(7), 1991–2007. https:// doi.org/10.5194/gmd-8-1991-2015 41. Ren C., Cai M., Li X., Zhang L., Wang R., Xu Y., et al (2019). Assessment of Local Climate Zone Classi- fication Maps of Cities in China and Feasible Refinements. Scientific Reports, 9(1), 1–11. https://doi. org/10.1038/s41598-019-55444-9 PMID: 31827216 PLOS ONE The spatial configuration for wayfinding PLOS ONE | https://doi.org/10.1371/journal.pone.0289780 September 8, 2023 17 / 18
42. Bechtel B., Alexander P. J., Beck C., Bo¨ hner J., Brousse O., Ching J., et al (2019). Generating WUDAPT Level 0 data—Current status of production and evaluation. Urban Climate, 24–45. https://doi. org/10.1016/j.uclim.2018.10.001 43. McGarigal K., & Marks B. J. (1995). FRAGSTATS: spatial pattern analysis program for quantifying land- scape structure. In General Technical Report—US Department of Agriculture, Forest Service (Issue PNW-GTR-351). https://doi.org/10.2737/PNW-GTR-351 44. Griffith J. A., Martinko E. A., & Price K. P. (2000). Landscape structure analysis of Kansas at three scales. Landscape and Urban Planning, 52(1), 45–61. https://doi.org/10.1016/S0169-2046(00) 00112-2 45. Leitão A. B., Miller J., Ahern J., & McGarigal K. (2006). Measuring Landscapes: A Planner’s Handbook. https://doi.org/10.1080/01944360701755667 46. Mcgarigal K. (2002). FRAGSTATS: Spatial pattern analysis program for categorical maps. In Computer software program produced by the authors at the University of Massachusetts, Amherst. 47. Ord J. K., & Getis A. (1995). Local Spatial Autocorrelation Statistics: Distributional Issues and an Appli- cation. Geographical Analysis, 27(4), 286–306. https://doi.org/10.1111/j.1538-4632.1995.tb00912.x 48. Can, I. (2012). In-Between Space and Social Interaction: a Case Study of Three Neighbourhoods in Izmir (Doctoral dissertation) [University of Nottingham]. http://eprints.nottingham.ac.uk/12637/1/ IsinCan_PhDThesis_July2012.pdf 49. Alfonzo M. A. (2005). To walk or not to walk? The hierarchy of walking needs. Environment and Behav-
ior, 37(6), 808–836. https://doi.org/10.1177/0013916504274016 50. Brownson R. C., Hoehner C. M., Day K., Forsyth A., & Sallis J. F. (2009). Measuring the Built Environ- ment for Physical Activity: State of the Science. American Journal of Preventive Medicine, 36(4 Suppl), S99–123. https://doi.org/10.1016/j.amepre.2009.01.005 PMID: 19285216 51. Passini R. (1984). Spatial representations, a wayfinding perspective. Journal of Environmental Psychol- ogy, 4(2), 153–164. https://doi.org/10.1016/S0272-4944(84)80031-6 52. Koseoglu E., & Onder D. E. (2011). Subjective and objective dimensions of spatial legibility. Procedia— Social and Behavioral Sciences, 30, 1191–1195. https://doi.org/10.1016/J.SBSPRO.2011.10.231 53. Mahdzar S. S. S., & Safari H. (2014). Legibility as a Result of Geometry Space: Analyzing and Compar- ing Hypothetical Model and Existing Space by Space Syntax. Life Science Journal, 11(8), 309–317. 54. Wu J. (2004). Effects of changing scale on landscape pattern analysis: scaling relations. Landscape Ecology, 19(2), 125–138. 55. Turnerl M. G., O’neill’ R. V, Gardner’ R. H., & Milne B. T. (1989). Effects of changing spatial scale on the analysis of landscape pattern. Landscape Ecology, 3(3), 153–162. 56. Cushman S. A., & Mcgarigal K. (2008). Landscape Metrics, Scales of Resolution. In Designing green landscapes (pp. 33–51). Springer. 57. Rakoto P. Y., Deilami K., Hurley J., Amati M., & Sun Q. (Chayn). (2021). Revisiting the cooling effects of urban greening: Planning implications of vegetation types and spatial configuration. Urban Forestry &
Urban Greening, 64, 127266. https://doi.org/10.1016/J.UFUG.2021.127266 58. Hao P., Geertman S., Hooimeijer P., & Sliuzas R. (2013). Spatial Analyses of the Urban Village Devel- opment Process in Shenzhen, China. International Journal of Urban and Regional Research, 37(6), 2177–2197. https://doi.org/10.1111/J.1468-2427.2012.01109.X PLOS ONE The spatial configuration for wayfinding PLOS ONE | https://doi.org/10.1371/journal.pone.0289780 September 8, 2023 18 / 18