Abstract
Does the choice of colour-coding scheme affect the usability of metro maps, as measured by the accuracy and speed of navigation? Using colour to differentiate lines or services in maps of metro rail networks has been a common practice around the world for many decades. Broadly speaking, there are two basic schemes: ‘route colouring’, in which each end-to-end route has a distinct colour, and ‘trunk colouring’, in which each major trunk has a distinct colour, and the individual routes inherit the colour of the main trunk that they run along. A third, intermediate scheme is ‘shaded colouring’, in which each trunk has a distinct colour, and each route has a distinct shade of that colour. In this study, 285 volunteers in the US were randomised to these three colour-coding schemes and performed seventeen navigational tasks. Each task involved tracing a route in the New York City subway map. Overall, we found that route colouring was significantly more accurate than the trunk- and shaded-colouring schemes. A planned subset analysis, however, revealed major differences between specific navigational hazards: route colouring performed better only against certain navigational hazards; trunk colouring performed best against one hazard; and other hazards showed no effect of colour coding. Route colouring was significantly faster only in one subset.
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References
Amazon.com, Inc.: Mechanical Turk. https://www.mturk.com/mturk/. Accessed 28 Nov 2017
Barrington and Company: A Survey of Prospective User Reaction to the New Subway Map, 31 May 1966, report submitted to the NYCTA. Collection of Raleigh D’Adamo (1966)
Bronzaft, A.L., Dobrow, S.B., O’Hanlon, T.J.: Spatial orientation in a subway system. Environ. Behav. 8, 575–594 (1976)
Bronzaft, A.L., Schachter, J.: Memo to MTA Subway Map Committee, 3 March 1978. New York Transit Museum (1978)
Crump, M.J.C., McDonnell, J.V., Gureckis, T.M.: Evaluating Amazon’s Mechanical Turk as a tool for experimental behavioral research. PLoS ONE 8(3), e57410 (2013). https://doi.org/10.1371/journal.pone.0057410
Gadiraju, U., Möller, S., Nöllenburg, M., Saupe, D., Egger-Lampl, S., Archambault, D., Fisher, B.: Crowdsourcing versus the laboratory: towards human-centered experiments using the crowd. In: Archambault, D., Purchase, H., Hoßfeld, T. (eds.) Evaluation in the Crowd. Crowdsourcing and Human-Centered Experiments. LNCS, vol. 10264, pp. 6–26. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-66435-4_2
Field, K., Cartwright, W.: Becksploitation: the over-use of a cartographic icon. Cartogr. J. 51(4), 343–359 (2014). https://doi.org/10.1179/0008704114Z.000000000150
Gallotti, R., Porter, M.A., Barthelemy, M.: Lost in transportation: information measures and cognitive limits in multilayer navigation. Sci. Adv. 2, e1500445 (2016). https://doi.org/10.1126/sciadv.1500445
Garland, H.C., Haynes, J.J., Grubb, G.C.: Transit map color coding and street detail: effects on trip planning performance. Environ. Behav. 11(2), 162–184 (1979)
Guo, Z.: Mind the map! The impact of transit maps on path choice in public transit. Transp. Res. Part A 45, 625–639 (2011). https://doi.org/10.1016/j.tra.2011.04.001
Guo, Z., Zhao, J., Whong, C., Wyman, L.: Redesigning subway map to mitigate bottleneck congestion: an experiment in Washington DC using Mechanical Turk. Transp. Res. Part A 106, 158–169 (2017). https://doi.org/10.1016/j.tra.2017.09.017
Kick Design: KickMap. http://kickmap.com/. Accessed 29 Nov 2017
KVB (Kölner Verkehrs-Betriebe AG): Bahnen in Köln (2017). http://www.kvb-koeln.de/german/fahrplan/linienplan.html. Accessed 29 Nov 2017
Lloyd, P.B.: Vignelli: Transit Maps. RIT Press, Rochester (2012)
MacEachren, A.M.: How Maps Work: Representation, Visualization, and Design. Guilford Press, New York (1995)
Mason, W., Suri, S.: Conducting behavioral research on Amazon’s Mechanical Turk. Behav. Res. Methods 44(1), 1–23 (2012). https://doi.org/10.3758/s13428-011-0124-6
Miller, G.A.: The magical number seven, plus or minus two: some limits on our capacity for processing information. Psychol. Rev. 63(2), 81–97 (1956)
Montello, D.M.: Cognitive map-design research in the twentieth century: theoretical and empirical approaches. Cartogr. Geogr. Inf. Sci. 29(3), 283–304 (2002)
MTA (Metropolitan Transportation Authority, New York): The Weekender. http://web.mta.info/weekender.html. Accessed 29 Nov 2017
Ovenden, M.: Transit Maps of the World. Penguin, New York (2015)
Ovenden, M., Lloyd, P.B., Pepinster, J.: Paris Métro Style. Capital Transport, Harrow (2008)
Paolacci, G., Chandler, J., Ipeirotis, P.G.: Running experiments on Amazon Mechanical Turk. Judgm. Decis. Making 5(5), 411–419 (2010)
Roberts, M.J.: Underground Maps Unravelled. Self-published, Wivenhoe, UK (2012)
Roberts, M.J., Newton, E.J., Canals, M.: Radi(c)al departures: comparing conventional octolinear versus concentric circles schematic maps for the Berlin U-Bahn/S-Bahn networks using objective and subjective measures of effectiveness. Inf. Des. J. 22(2), 92–115 (2016). https://doi.org/10.1075/idj.22.2.04rob
Roberts, M.J.: Schematic maps in the laboratory. In: First International Schematic Mapping Workshop University of Essex, 2–3 April 2014 (2014a). http://www.tubemapcentral.com/articles/Roberts_empirical_SMW2014_2014.pdf. Accessed 29 Nov 2017
Roberts, M.J.: What’s your theory of effective schematic map design? ibid (2014b). http://repository.essex.ac.uk/11368/1/Roberts-Theoretical.pdf. Accessed 29 Nov 2017
Roberts, M.J., Rose, D.: Map-induced journey-planning biases for a simple network: a docklands light railway study. Transp. Res. Part A 94, 446–460 (2016). https://doi.org/10.1016/j.ijhcs.2016.06.003
Robinson, A.H.: The Look of Maps. University of Wisconsin Press, Madison (1952)
Stott, J.M., Rodgers, P.: Metro map layout using multicriteria optimization. In: Proceedings of 8th International Conference on Information Visualisation (IV 2004), 14–16 July 2004, pp. 355–362. IEEE (2004). https://doi.org/10.1109/iv.2004.1320168, https://kar.kent.ac.uk/14133. Accessed 29 Nov 2017
Wolff, A.: Drawing subway maps: a survey. Inform.—Forschung Entwickl. 22, 23–44 (2007). https://doi.org/10.1007/s00450-007-0036-y
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The MTA very generously allowed the use of the Weekender map in this study, and provided a digital copy of the map.
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Lloyd, P.B., Rodgers, P., Roberts, M.J. (2018). Metro Map Colour-Coding: Effect on Usability in Route Tracing. In: Chapman, P., Stapleton, G., Moktefi, A., Perez-Kriz, S., Bellucci, F. (eds) Diagrammatic Representation and Inference. Diagrams 2018. Lecture Notes in Computer Science(), vol 10871. Springer, Cham. https://doi.org/10.1007/978-3-319-91376-6_38
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