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Do modes of transportation and GPS affect cognitive maps of Londoners?

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  • Minaei, Negin

Abstract

Legibility has long been recognized as an important factor in creating a good image of a city in individuals’ minds. This image is perceived to assist people in understanding the city, finding their way, and recalling the city. The quality of the image affects individuals’ abilities in way-finding. This is especially important for cosmopolitan and global cities such as London in order to preserve resources and time, manage travel costs, limit pollution (air or noise) and enhance these cities as places to live, work and visit. This research examines the cognitive maps of London drawn by a sample of its residents to discover how different modes of transportation and GPS usage could affect individuals’ urban images. Such research is useful for town planners, local government departments, and urban and transport planners because of the way it considers the legibility of London as and provides a tool to study individuals’ urban images. 101 participants were recruited with at least a two-year residency from both genders (38.6% females and 61.4% males) with the average age of 33.88 and S.D.=10.63. The results suggest car use has a positive correlation with seeing London in city scale and GPS usage has a negative correlation. Whilst recent studies have shown that there are differences between active travel modes (e.g., walking, bicycle riding or driving a car) and passive modes (e.g., as a passenger taking a bus, train or taxi), this study indicates that GPS usage also influences cognitive maps, with a negative correlation found between GPS usage and drawing maps on a city scale. Other significant associations were found for the car drivers with a positive relation with the number of roads mentioned on the maps, seeing London in city scale and having a two-dimensional façade image of the city in mind.

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  • Minaei, Negin, 2014. "Do modes of transportation and GPS affect cognitive maps of Londoners?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 70(C), pages 162-180.
  • Handle: RePEc:eee:transa:v:70:y:2014:i:c:p:162-180
    DOI: 10.1016/j.tra.2014.10.008
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    References listed on IDEAS

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    1. David Reitter & Christian Lebiere, 2010. "A cognitive model of spatial path-planning," Computational and Mathematical Organization Theory, Springer, vol. 16(3), pages 220-245, September.
    2. Egilmez, Gokhan & Tatari, Omer, 2012. "A dynamic modeling approach to highway sustainability: Strategies to reduce overall impact," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(7), pages 1086-1096.
    3. Ehrgott, Matthias & Wang, Judith Y.T. & Raith, Andrea & van Houtte, Chris, 2012. "A bi-objective cyclist route choice model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(4), pages 652-663.
    4. Broach, Joseph & Dill, Jennifer & Gliebe, John, 2012. "Where do cyclists ride? A route choice model developed with revealed preference GPS data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(10), pages 1730-1740.
    5. David Banister & Dominic Stead, 2004. "Impact of information and communications technology on transport," Transport Reviews, Taylor & Francis Journals, vol. 24(5), pages 611-632, January.
    6. Hickman, Robin & Saxena, Sharad & Banister, David & Ashiru, Olu, 2012. "Examining transport futures with scenario analysis and MCA," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(3), pages 560-575.
    7. Wee, Bert van & Geurs, Karst & Chorus, Caspar, 2013. "Information, communication, travel behavior and accessibility," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 6(3), pages 1-16.
    8. Zhang, Lei & Hong, Jin Hyun & Nasri, Arefeh & Shen, Qing, 2012. "How built environment affects travel behavior: A comparative analysis of the connections between land use and vehicle miles traveled in US cities," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 5(3), pages 40-52.
    9. Schneider, Robert James, 2013. "Measuring transportation at a human scale: An intercept survey approach to capture pedestrian activity," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 6(3), pages 43-59.
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    3. Wen Zhang & Nursitihazlin Ahmad Termida & Yusak O Susilo, 2019. "What construct one’s familiar area? A quantitative and longitudinal study," Environment and Planning B, , vol. 46(2), pages 322-340, February.

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