Abstract
Spatial representations play a fundamental role in navigation, decision-making, and overall interaction with our environments. Understanding how individuals construct and use them holds significant importance in spatial cognition research, and even bears practical implications for urban planning as it can explain how we interact with the spaces we inhabit. In large urban areas, transit maps stand as prominent visual aids, guiding people through public transportation systems. These maps, while designed for navigational purposes, may influence how individuals perceive and represent their cities. For instance, Vertesi (Social Studies of Science 38:09–35, 2008) showed through a series of interviews including a “sketch mapping” phase, that London Tube Map seems to structure residents’ spatial representation of their city. However, thorough quantitative research on this subject have not been carried out yet. Two experimental studies have been conducted to demonstrate how residents’ representations of metropolitan areas closely resemble the schematic representations of their public transport networks. First, we show that residents of Greater Paris—public and private transport users alike—plot city landmarks in a layout more closely resembling that of the Parisian transit map than the geographical map. Next, we asked Greater Berlin, London and Paris residents to place landmarks of their cities on different map backgrounds. A similar procedure was followed for landmarks from an unknown city, after a dedicated learning phase. For known cities, the sketch maps produced were closer to transit maps than to the geographical ones, although less so if the test map background presented topographical elements (e.g., rivers, etc.). For learnt cities, participants’ sketch maps were almost exclusively dependent on the map provided during the learning phase. These results suggest that familiarity with transit maps has a direct impact on the metric properties of spatial representation in memory, a phenomenon we propose to call the ‘schema effect’.
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References
Anwyl-irvine, A. L. (2020). Gorilla in our midst: An online behavioral experiment builder. Behavior Research Methods, 52, 388–407. https://doi.org/10.3758/s13428-019-01237-x
Bates, D., Mächler, M., Bolker, B. M., & Walker, S. C. (2015). Fitting linear mixed-effects models using lme4. Journal of Statistical Software, 67(1), 1–48. https://doi.org/10.18637/jss.v067.i01
Blades, M. (1990). The reliability of data collected from sketch maps. Journal of Environmental Psychology, 10, 327–339. https://doi.org/10.1016/S0272-4944(05)80032-5
Bollen, K. A., & Jackman, R. W. (1990). Regression diagnostics: An expository treatment of outliers and influential cases. In J. Fox & J. S. Long (Eds.), Modern Methods of Data Analysis (pp. 257–291). Sage.
Burch, M., Woods, R., Netzel, R., & Weiskopf, D. (2016). The Challenges of Designing Metro Maps. VISIGRAPP (2: IVAPP). 195–202. https://doi.org/10.5220/0005679601950202
Byrne, R. W. (1979). Memory for Urban Geography. Quarterly Journal of Experimental Psychology, 31(1), 147–154. https://doi.org/10.1080/14640747908400714
Brunyé, T. T., Gardony, A., Mahoney, C. R., & Taylor, H. A. (2012). Body-specific representations of spatial location. Cognition, 123(2), 229–239. https://doi.org/10.1016/j.cognition.2011.07.013
Cadwallader, M. (1979). Problems in cognitive distance: Implications for cognitive mapping. Environment and Behavior, 11(4), 559–576.
Carbon, C.-C. (2013). BiDimRegression : Bidimensional Regression Modeling Using R. Journal of Statistical Software, 52(Code Snippet 1), 1–11. https://doi.org/10.18637/jss.v052.c01
Cartwright, W. (2015). Rethinking the definition of the word ‘map’: An evaluation of Beck’s representation of the London Underground through a qualitative expert survey. International Journal of Digital Earth, 8(7), 522–537. https://doi.org/10.1080/17538947.2014.923942
Chase, W. G. (1983). Spatial representations of taxi drivers. The acquisition of symbolic skills (pp. 391–405). Springer.
Cook, D., & Weisberg, S. (1982). Residuals and Influence in Regression. In D. R. Cox & D. V. Hinkley (Eds.), Monographs on statistics and applied probability (pp. 1–230). Chapman and Hall.
Costa, M., & Bonetti, L. (2018). Geometrical distortions in geographical cognitive maps. Journal of Environmental Psychology, 55, 53–69. https://doi.org/10.1016/j.jenvp.2017.12.004
Denis, M. (2017). Arrows in diagrammatic and navigational spaces. In J. Zacks & H. A. Taylor (Eds.), Representations in Mind and World. Essays inspired by Barbara Tversky (pp. 63–84). Routledge.
Denis, M., Pazzaglia, F., Cornoldi, C., & Bertolo, L. (1999). Spatial discourse and navigation: An analysis of route directions in the city of Venice. Applied Cognitive Psychology, 13(2), 145–174. https://doi.org/10.1002/(SICI)1099-0720(199904)13:2%3c145::AID-ACP550%3e3.0.CO;2-4
Downs, R. M., & Stea, D. (2017). Cognitive maps and spatial behavior: Process and products. Image and Environment: Cognitive Mapping and Spatial Behavior, 8–26. https://doi.org/10.4324/9780203789155-10
Ekstrom, A. D., & Isham, E. A. (2017). Human spatial navigation: Representations across dimensions and scales. Current Opinion in Behavioral Sciences, 17(5), 84–89. https://doi.org/10.1016/j.physbeh.2017.03.040
Forrest, D., (2014). Causes and consequences of scale change in schematic maps: are users aware and do they care? Schematic Mapping Workshop 2014, University of Essex, April.
Friedman, A., & Brown, N. R. (2000). Reasoning about geography. Journal of Experimental Psychology: General, 129(2), 193–219. https://doi.org/10.1037/0096-3445.129.2.193
Friedman, A., & Kohler, B. (2003). Bidimensional regression: Assessing the configural similarity and accuracy of cognitive maps and other two-dimensional data sets. Psychological Methods, 8(4), 468–491. https://doi.org/10.1037/1082-989X.8.4.468
Gardony, A. L., Taylor, H. A., & Brunyé, T. T. (2016). Gardony Map Drawing Analyzer: Software for quantitative analysis of sketch maps. Behavior Research Methods, 48(1), 151–177. https://doi.org/10.3758/s13428-014-0556-x
Garland, K. (1994). Mr Beck’s Underground map. Capital Transport Publishing.
Gobert, J. D. (1999). Expertise in the comprehension of architectural plans. In J. Gero & B. Tversky (Eds.), Visual and spatial reasoning in design (pp. 185–205). Key Centre of Design Computing and Cognition.
Grison, E., Leprévost, F., & Morgagni, S. (2022). Do you believe in transit schematic maps? Design influences on route choice [Conference presentation]. 3rd Schematic Mapping Workshop, Bochum, Germany. https://www.ruhr-uni-bochum.de/schematicmapping/papers/smwgrison-leprevost-morgagni.pdf
Guo, Z. (2011). Mind the map! The impact of transit maps on path choice in public transit. Transportation Research Part a: Policy and Practice, 45(7), 625–639. https://doi.org/10.1016/j.tra.2011.04.001
Harrison, X. A., Donaldson, L., Correa-Cano, M. E., Evans, J., Fisher, D. N., Goodwin, C. E. D., Robinson, B. S., Hodgson, D. J., & Inger, R. (2018). A brief introduction to mixed effects modelling and multi-model inference in ecology. PeerJ, 6(4794), 1–32. https://doi.org/10.7717/peerj.4794
Hart, R. A., & Moore, G. T. (1973). The development of spatial cognition: A review. In R. M. Downs & D. Stea (Eds.), Image & environment: Cognitive mapping and spatial behavior (pp. 246–288). Aldine Press.
Hirtle, S. C., & Jonides, J. (1985). Evidence of hierarchies in cognitive maps. Memory & Cognition, 13(3), 208–217. https://doi.org/10.3758/BF03197683
Hochmair, H. (2009). The influence of map design on route choice from public transportation maps in Urban Areas. Cartographic Journal, 46(3), 242–256. https://doi.org/10.1179/000870409X12472347560623
Holden, M. P., Newcombe, N. S., & Shipley, T. F. (2015). Categorical biases in spatial memory: The role of certainty. Journal of Experimental Psychology: Learning Memory and Cognition, 41(2), 473–481. https://doi.org/10.1037/a0038119
Ile-de-France Mobilités Open Data. (n.d.). Retrieved December 15, 2023, from https://data.iledefrance-mobilites.fr/pages/home/
Ittelson, W. H. (1973). Environment and cognition. Seminar Press.
Kaplan, S. (1973). Cognitive maps in perception and thought. In R. M. Downs & D. Stea (Eds.), Image and environment: Cognitive mapping and spatial behavior (pp. 63–78). Aldine Press.
Kesner, R. P., & Creem-Regehr, S. H. (2013). Parietal contributions to spatial cognition. In D. Waller & L. Nadel (Eds.), Handbook of spatial cognition (pp. 35–63). American Psychological Association.
Klatzky, R. L. (1998). Allocentric and Egocentric Spatial Representations: Definitions, Distinctions, and Interconnections. In C. Freska, C. Habel, & K. F. Wender (Eds.), Spatial Cognition (pp. 1–17). Springer. https://doi.org/10.1007/3-540-69342-4_1
Kluss, T., Marsh, W. E., Zetzsche, C., & Schill, K. (2015). Representation of impossible worlds in the cognitive map. Cognitive Processing, 16(1), 271–276. https://doi.org/10.1007/s10339-015-0705-x
Kuipers, B. (1978). Modeling spatial knowledge. Cognitive Science, 2(2), 129–153. https://doi.org/10.1016/S0364-0213(78)80003-2
L’Hostis, A. (2009). The shrivelled USA: Representing time-space in the context of metropolitanization and the development of high-speed transport. Journal of Transport Geography, 17(6), 433–439. https://doi.org/10.1016/j.jtrangeo.2009.04.005
L’Hostis, A. (2013). Theoretical models of time-space: The role of transport networks in the shrinking and shrivelling of geographical space. Methods for Multilevel Analysis and Visualisation of Geographical Networks, 55–66. https://doi.org/10.1007/978-94-007-6677-8_4
Lhuillier, S., Gyselinck, V., Piolino, P., & Nicolas, S. (2020). “Walk this way”: Specific contributions of active walking to the encoding of metric properties during spatial learning. Psychological Research Psychologische Forschung, 85, 2502–2517. https://doi.org/10.1007/s00426-020-01415-z
Lynch, K. (1960). The image of the city. MIT Press.
Maddox, K. B., Rapp, D. N., Brion, S., & Taylor, H. A. (2008). Social influences on spatial memory. Memory & Cognition, 36(3), 479–494. https://doi.org/10.3758/MC.36.3.479
Maguire, E. A., Woollett, K., & Spiers, H. J. (2006). London taxi drivers and bus drivers: A structural MRI and neuropsychological analysis. Hippocamus, 16, 1091–1101.
McNamara, T. P. (1992). Spatial representation. Geoforum, 23(2), 139–150. https://doi.org/10.1016/0016-7185(92)90012-S
Meilinger, T., Frankenstein, J., & Bülthoff, H. H. (2013). Learning to navigate: Experience versus maps. Cognition, 129(1), 24–30. https://doi.org/10.1016/j.cognition.2013.05.013
Milgram, S., & Jodelet, D. (1976). Psychological maps of Paris. In H. M. Proshansky, W. H. Ittelson, & L. G. Rivlin (Eds.), Environmental Psychology: People and their Physical Settings (pp. 104–124). New York.
Montello, D. R. (2015). Spatial Cognition. In International Encyclopedia of the Social & Behavioral Sciences (Second Edn, Vol. 23, Issue 1997, pp. 111–115). Elsevier. https://doi.org/10.1016/B978-0-08-097086-8.72057-5
Montello, D.R. (2009). A Conceptual Model of the Cognitive Processing of Environmental Distance Information. In: Hornsby, K.S., Claramunt, C., Denis, M., Ligozat, G. (eds) Spatial Information Theory. COSIT 2009. Lecture Notes in Computer Science, vol 5756. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03832-7_1
Montello, D. R. (1993). Scale and multiple psychologies of space. In A. U. Frank & I. Campari (Eds.), Spatial Information Theory: A theoretical basis for GIS (pp. 312–321). Springer.
Montello, D. R., & Freundschuh, S. (2004). Cognition of geographic information. A Research Agenda for Geographic Information Science, 61–91.
Nöllenburg, M., & Wolff, A. (2011). Drawing and labeling high-quality metro maps by mixed-integer programming. IEEE Transactions on Visualization and Computer Graphics, 17(5), 626–641. https://doi.org/10.1109/TVCG.2010.81
O’Keefe, J., & Nadel, L. (1978). The Hippocampus as a Cognitive Map. Clarendon Press.
Portugali, Y. (1993). Implicate relations: Society and space in the Israeli-Palestinian conflict. Kruwer.
Prabhakar, A., Grison, E., & Morgagni, S. (2024). Smartphone mobility assistants. A lever to guide route choice preferences in mass transit? Transportation Research Part a: Policy and Practice, 179, 103914. https://doi.org/10.1016/j.tra.2023.103914
Previc, F. H. (1998). The Neuropsychology of 3-D Space. Psychological Bulletin, 124(2), 123–164. https://doi.org/10.1037/0033-2909.124.2.123
Peer, M., Brunec, I. K., Newcombe, N. S., & Epstein, R. A. (2021). Structuring Knowledge with Cognitive Maps and Cognitive Graphs. Trends in cognitive sciences, 25(1), 37–54. https://doi.org/10.1016/j.tics.2020.10.004
R Core Team. (2023). R: A Language and Environment for Statistical Computing. https://www.r-project.org
Redish, A. D., & Ekstrom, A. D. (2013). Hippocampus and related areas: What the place cell literature tells us about cognitive maps in rats and humans. In D. Waller & L. Nadel (Eds.), Handbook of spatial cognition (pp. 15–34). American Psychological Association.
Roberts, M. J., Gray, H., & Lesnik, J. (2017). Preference versus performance: Investigating the dissociation between objective measures and subjective ratings of usability for schematic metro maps and intuitive theories of design. International Journal of Human Computer Studies, 98, 109–128. https://doi.org/10.1016/j.ijhcs.2016.06.003
Roberts, M. J., Newton, E. J., Lagattolla, F. D., Hughes, S., & Hasler, M. C. (2013). Objective versus subjective measures of Paris Metro map usability: Investigating traditional octolinear versus all-curves schematics. International Journal of Human Computer Studies, 71(3), 363–386. https://doi.org/10.1016/j.ijhcs.2012.09.004
Roberts, M. J., & Rose, D. (2016). Map-induced journey-planning biases for a simple network: A Docklands Light Railway study. Transportation Research Part a: Policy and Practice, 94, 446–460. https://doi.org/10.1016/j.tra.2016.09.023
Sadalla, E. K., Burroughs, W. J., & Staplin, L. J. (1980). Reference points in spatial cognition. Journal of Experimental Psychology: Human Learning and Memory, 6(5), 516–528. https://doi.org/10.1037/0278-7393.6.5.516
Sandström, C. I. (1951). Orientation in the present space. Almqvist et Wiksell.
Searle, S. R., Speed, F. M., & Milliken, G. A. (1980). Population marginal means in the linear model: An alternative to least squares means author. The American Statistician, 34(4), 216–221. https://doi.org/10.2307/2684063
Siegel, A. W., & White, S. H. (1975). The development of spatial representations of large-scale environments. In Advances in child development and behavior (Vol. 10, pp. 9–55). Elsevier. https://doi.org/10.1016/S0065-2407(08)60007-5
Spiekermann, K., & Wegener, M. (1994). The shrinking continent: New time-space maps of Europe. Environment & Planning B: Planning & Design, 21(6), 653–673. https://doi.org/10.1068/b210653
Stevens, A., & Coupe, P. (1978). Distortions in judged spatial relations. Cognitive Psychology, 10(4), 422–437.
Tobler, W. R. (1965). Computation of the correspondence of geographical patterns. Papers of the Regional Science Association, 15(1), 131–139. https://doi.org/10.1007/BF01947869
Tobler, W. R. (1994). Bidimensional Regression. Geographical Analysis, 26(3), 187–212. https://doi.org/10.1111/j.1538-4632.1994.tb00320.x
Tolman, E. C. (1948). Cognitive maps in rats and men. Psychological Review, 55(4), 189–208. https://doi.org/10.4324/9780203789155-11
Tversky, B. (1981). Distortions in memory for maps. Cognitive Psychology, 13(3), 407–433.
Tversky, B. (2000). Some ways that maps and diagrams communicate. In C. Freksa, W. Brauer, C. Habel, & K. F. Wender (Eds.), Spatial Cognition II: Integration abstract theories, empirical studies, formal models, and powerful applications (pp. 72–79). Springer.
Tversky, B. (2003). Structures of mental spaces: How people think about space. Environment and Behavior, 35(1), 66–80. https://doi.org/10.1177/0013916502238865
Tversky, B. (1993). Cognitive maps, cognitive collages, and spatial mental models. In: Frank, A.U., Campari, I. (eds) Spatial Information Theory A Theoretical Basis for GIS. COSIT 1993. Lecture Notes in Computer Science, vol 716. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-57207-4_2
Vertesi, J. (2008). Mind the gap: The London underground map and users’ representations of urban space. Social Studies of Science, 38(1), 09–35. https://doi.org/10.1177/0306312707084153
Wood, D., & Beck, R. (1989). Janine Eber maps London: Individual dimensions of cognitive imagery. Journal of Environmental Psychology, 9(1), 1–26.
Warren, W. H., Rothman, D. B., Schnapp, B. H., & Ericson, J. D. (2017). Wormholes in virtual space: From cognitive maps to cognitive graphs. Cognition, 166, 152–163. https://doi.org/10.1016/j.cognition.2017.05.020
Acknowledgements
The authors would like to thank Valentin Corneloup for his help in piloting the second experiment, and Sébastien Wamster for creating the anamorphoses presented in this paper.
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This research is partly funded by a French National Research Agency grant ANR 18-CE22-0016–01.
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AP: Conceptualization, Methodology, Software, Validation, Formal analysis, Investigation, Data Curation, Writing—Original Draft, Writing—Review & Editing, Visualization. EG: Conceptualization, Methodology, Writing—Original Draft, Writing—Review & Editing, Supervision, Project administration. SL: Conceptualization, Methodology, Software, Validation, Formal analysis, Data Curation, Writing—Original Draft, Writing—Review & Editing, Visualization. FL: Software, Validation, Formal analysis, Data Curation, Writing—Review & Editing, Visualization. VG: Writing—Review & Editing. SM: Conceptualization, Methodology, Writing—Review & Editing, Supervision, Project administration, Funding acquisition.
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Prabhakar, A., Grison, E., Lhuillier, S. et al. Transport makes cities: transit maps as major cognitive frames of metropolitan areas. Psychological Research 88, 1060–1080 (2024). https://doi.org/10.1007/s00426-023-01925-6
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DOI: https://doi.org/10.1007/s00426-023-01925-6