133
Views
0
CrossRef citations to date
0
Altmetric
Articles

Promoting favorable routes through visual communication: a design study for creating ‘Social’ route maps for the case of air pollution

ORCID Icon, &
Pages 68-93 | Received 24 Feb 2022, Accepted 07 Dec 2022, Published online: 15 Mar 2023

References

  • Bachtiar, V. S., Raharjo, S., Ruslinda, Y., Hayati, F., & Komala, D. R. (2015). Mapping of ozone gas (O3) concentrations in Padang City. Procedia Engineering, 125, 291–297. https://doi.org/10.1016/j.proeng.2015.11.046
  • Bertin, J. (1983). Semiology of graphics (W. J. Berg, Trans.). University of Wisconsin Press. (Original work published 1967).
  • Bęczkowska, S. (2019). The method of optimal route selection in road transport of dangerous goods. Transportation Research Procedia, 40, 1252–1259. https://doi.org/10.1016/j.trpro.2019.07.174
  • Biadgilgn, D. M., Blok, C. A., & Huisman, O. (2011). Assessing the cartographic visualization of moving objects. Momona Ethiopian Journal of Science, 3(1), 80–104. https://doi.org/10.4314/mejs.v3i1.63687
  • Boy, J., & Fekete, J. D. (2014, November). The CO2 pollution map: Lessons learned from designing a visualization that bridges the gap between visual communication and information visualization. IEEE Conference on Information Visualization [Poster paper].
  • Carroll, F., Webb, M., & Cropper, S. (2020, September). Investigating aesthetics to afford more ‘felt’ knowledge and ‘meaningful’ navigation interface designs. In 2020 24th International Conference Information Visualization (IV) (pp. 214-219). IEEE.
  • Chen, Y., Gu, P., Schulte, N., Zhou, X., Mara, S., Croes, B. E., Herner, J. D., & Vijayan, A. (2022). A new mobile monitoring approach to characterize community-scale air pollution patterns and identify local high pollution zones. Atmospheric Environment, 272, 118936. https://doi.org/10.1016/j.atmosenv.2022.118936
  • Chin, Y. S. J., De Pretto, L., Thuppil, V., & Ashfold, M. J. (2019). Public awareness and support for environmental protection—A focus on air pollution in peninsular Malaysia. PloS one, 14(3), e0212206. https://doi.org/10.1371/journal.pone.0212206
  • Clive, M. A. T., Lindsay, J. M., Leonard, G. S., Lutteroth, C., Bostrom, A., & Corballis, P. (2021). Volcanic hazard map visualisation affects cognition and crisis decision-making. International Journal of Disaster Risk Reduction, 55, 102102. https://doi.org/10.1016/j.ijdrr.2021.102102
  • Darko, J., Folsom, L., Pugh, N., Park, H., Shirzad, K., Owens, J., & Miller, A. (2022). Adaptive personalized routing for vulnerable road users. IET Intelligent Transport Systems, 16(8), 1011–1025. https://doi.org/10.1049/itr2.12191
  • Elias, B., & Brenner, C. (2005). Automatic generation and application of landmarks in navigation data sets. In Developments in spatial data handling (pp. 469–480). Springer.
  • Engeset, R. V., Pfuhl, G., Orten, C., Hendrikx, J., & Hetland, A. (2022). Colours and maps for communicating natural hazards to users with and without colour vision deficiency. International Journal of Disaster Risk Reduction, 76, 103034. https://doi.org/10.1016/j.ijdrr.2022.103034
  • Evans, G. W., & Jacobs, S. V. (1981). Air pollution and human behavior. Journal of Social Issues, 37(1), 95–125. https://doi.org/10.1111/j.1540-4560.1981.tb01059.x
  • Fuest, S., Grüner, S., Vollrath, M., & Sester, M. (2021a). Evaluating the effectiveness of different cartographic design variants for influencing route choice. Cartography and Geographic Information Science, 48(2), 169–185. https://doi.org/10.1080/15230406.2020.1855251
  • Fuest, S., Sester, M., & Griffin, A. L. (2021b). Nudging travelers to favorable routes: The impact of visual communication and emotional responses on decision making. Abstracts of the ICA, 3, 84. https://doi.org/10.5194/ica-abs-3-84-2021
  • Funke, S., & Storandt, S. (2015, November). Personalized route planning in road networks. In Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems (pp. 1–10).
  • Garzon, S. R., Reppenhagen, M., & Müller, M. (2022). What if air quality dictates road pricing? Simulation of an air pollution-based road charging scheme. Journal of Urban Mobility, 2, 100018. https://doi.org/10.1016/j.urbmob.2022.100018
  • Google. (2021). Retrieved June 30, 2022, from https://blog.google/products/maps/redefining-what-map-can-be-new-information-and-ai/.
  • Graphmasters. (2020). Retrieved June 30, 2022, from https://www.graphmasters.net/nunav.
  • Hasenfratz, D., Saukh, O., Walser, C., Hueglin, C., Fierz, M., Arn, T., Beutel, J., & Thiele, L. (2015). Deriving high-resolution urban air pollution maps using mobile sensor nodes. Pervasive and Mobile Computing, 16, 268–285. https://doi.org/10.1016/j.pmcj.2014.11.008
  • Holman, C., Harrison, R., & Querol, X. (2015). Review of the efficacy of low emission zones to improve urban air quality in European cities. Atmospheric Environment, 111, 161–169. https://doi.org/10.1016/j.atmosenv.2015.04.009
  • Inanloo, B., & Tansel, B. (2016). A transportation network assessment tool for hazardous material cargo routing: Weighing exposure health risks, proximity to vulnerable areas, delay costs and trucking expenses. Journal of Loss Prevention in the Process Industries, 40, 266–276. https://doi.org/10.1016/j.jlp.2016.01.002
  • Jégou, L. (2019). Expanding the Sémiologie Graphique for contemporary cartography, some ideas from visual semiotics, art history and design. Cartography and Geographic Information Science, 46(2), 182–188. https://doi.org/10.1080/15230406.2018.1513343
  • Kalantari, Z., Nickman, A., Lyon, S. W., Olofsson, B., & Folkeson, L. (2014). A method for mapping flood hazard along roads. Journal of Environmental Management, 133, 69–77. https://doi.org/10.1016/j.jenvman.2013.11.032
  • Kinkeldey, C., MacEachren, A. M., & Schiewe, J. (2014). How to assess visual communication of uncertainty? A systematic review of geospatial uncertainty visualisation user studies. The Cartographic Journal, 51(4), 372–386. https://doi.org/10.1179/1743277414Y.0000000099
  • Klippel, A., & Winter, S. (2005, September). Structural salience of landmarks for route directions. In International Conference on Spatial Information Theory (pp. 347-362). Springer.
  • Koenig, J. Q. (2000). Health effects of ambient air pollution: How safe is the air we breathe? Springer Science & Business Media.
  • Kunz, M., Grêt-Regamey, A., & Hurni, L. (2011). Visualization of uncertainty in natural hazards assessments using an interactive cartographic information system. Natural Hazards, 59(3), 1735–1751. https://doi.org/10.1007/s11069-011-9864-y
  • MacEachren, A. M. (1992). Visualizing uncertain information. Cartographic Perspectives, 13(13), 10–19. https://doi.org/10.14714/CP13.1000
  • MacEachren, A. M., Robinson, A., Hopper, S., Gardner, S., Murray, R., Gahegan, M., & Hetzler, E. (2005). Visualizing geospatial information uncertainty: What we know and what we need to know. Cartography and Geographic Information Science, 32(3), 139–160. https://doi.org/10.1559/1523040054738936
  • Mahajan, S., Tang, Y. S., Wu, D. Y., Tsai, T. C., & Chen, L. J. (2019). CAR: The clean air routing algorithm for path navigation with minimal PM2. 5 exposure on the move. IEEE Access, 7, 147373–147382. https://doi.org/10.1109/ACCESS.2019.2946419
  • Marjovi, A., Arfire, A., & Martinoli, A. (2015, June). High resolution air pollution maps in urban environments using mobile sensor networks. In 2015 international conference on distributed computing in sensor systems (pp. 11–20). IEEE.
  • Nurgazy, M., Zaslavsky, A., Jayaraman, P. P., Kubler, S., Mitra, K., & Saguna, S. (2019, July). CAVisAP: Context-aware visualization of outdoor air pollution with IoT platforms. In 2019 International Conference on High Performance Computing & Simulation (HPCS) (pp. 84–91). IEEE.
  • Otto, J. C., Gustavsson, M., & Geilhausen, M. (2011). Cartography: Design, symbolisation and visualisation of geomorphological maps. In Developments in earth surface processes (Vol. 15, pp. 253-295). Elsevier.
  • Pant, P., & Harrison, R. M. (2013). Estimation of the contribution of road traffic emissions to particulate matter concentrations from field measurements: A review. Atmospheric Environment, 77, 78–97. https://doi.org/10.1016/j.atmosenv.2013.04.028
  • Peirce, C. S. (1991). Peirce on signs: Writings on semiotic. UNC Press Books.
  • Pfeil, M., Bartoschek, T., & Wirwahn, J. A. (2015). Opensensemap-a citizen science platform for publishing and exploring sensor data as open data. In Free and Open Source Software for Geospatial (FOSS4G) Conference Proceedings (Vol. 15, No. 1, p. 39).
  • Pirani, N., Ricker, B. A., & Kraak, M. J. (2020). Feminist cartography and the United Nations sustainable development goal on gender equality: Emotional responses to three thematic maps. The Canadian Geographer/Le Géographe Canadien, 64(2), 184–198. https://doi.org/10.1111/cag.12575
  • Ramos, F., Trilles, S., Muñoz, A., & Huerta, J. (2018). Promoting pollution-free routes in smart cities using air quality sensor networks. Sensors, 18(8), 2507. https://doi.org/10.3390/s18082507
  • Ringhand, M., & Vollrath, M. (2018). Make this detour and be unselfish! influencing urban route choice by explaining traffic management. Transportation Research Part F: Traffic Psychology and Behaviour, 53, 99–116. https://doi.org/10.1016/j.trf.2017.12.010
  • Roth, R. E. (2016). Visual variables. International Encyclopedia of Geography: People, the Earth, Environment and Technology: People, the Earth, Environment and Technology, 1-11.
  • Scheufele, D. A., & Iyengar, S. (2012). The state of framing research: A call for new directions. In K. Kenski & K. H. Jamieson (Eds.), The Oxford handbook of political communication theories (pp. 1–26). Oxford UniversityPress.
  • Skupin, A. (2000, October). From metaphor to method: Cartographic perspectives on information visualization. In IEEE symposium on Information Visualization 2000. INFOVIS 2000. Proceedings (pp. 91–97). IEEE.
  • Spence, A., & Pidgeon, N. (2010). Framing and communicating climate change: The effects of distance and outcome frame manipulations. Global Environmental Change, 20(4), 656–667. https://doi.org/10.1016/j.gloenvcha.2010.07.002
  • Taylor, J., Davies, M., Mavrogianni, A., Shrubsole, C., Hamilton, I., Das, P., Jones, B., Oikonomou, E., & Biddulph, P. (2016). Mapping indoor overheating and air pollution risk modification across Great Britain: A modelling study. Building and Environment, 99, 1–12. https://doi.org/10.1016/j.buildenv.2016.01.010
  • Timmons, S., & Lunn, P. D. (2022, March). Using information provision and interactive risk maps to motivate testing for radon. https://doi.org/10.31234/osf.io/f98hm
  • U.S. Environmental Protection Agency. (2022). Retrieved June 30, 2022, from epa.gov.
  • Wielebski, Ł, & Medyńska-Gulij, B. (2019). Graphically supported evaluation of mapping techniques used in presenting spatial accessibility. Cartography and Geographic Information Science, 46(4), 311–333. https://doi.org/10.1080/15230406.2018.1479311
  • World Health Organization. (2022). Retrieved June 30, 2022, from https://www.who.int/news-room/fact-sheets/detail/ambient-(outdoor)-air-quality-and-health.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.