IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i23p9986-d453400.html
   My bibliography  Save this article

College Campuses and Student Walkability: Assessing the Impact of Smartphone Use on Student Perception and Evaluation of Urban Campus Routes

Author

Listed:
  • Joohyun Lee

    (Sustainability R&D Center, Chungyeon, Seoul 06248, Korea)

  • Mardelle McCuskey Shepley

    (Department of Design and Environmental Analysis, Cornell University, 1411, Martha Van Rensselaer Hall, 116 Reservoir Ave, Ithaca, NY 14853, USA)

Abstract

The purpose of this study is to assess the relationships between college campus walking route characteristics and student perceptions of them with smartphone use. The study used student sketch maps, survey questionnaires, and observations and measurements of route features on a Korean urban campus. The results show that the pedestrian perception and evaluation of campus walking routes are impacted differently in two conditions: walking with smartphone use and walking without smartphone use. “Smartphone walkers” found the safety and quality of routes more important, while walkers without phones considered the shortest distance and positive walking experience to be important factors in their route choices. Campus-built environments need to be improved to provide more adaptive solutions to respond to changes in pedestrian behavior and perception due to increased “smartphone walking”. Recommendations include a walker-friendly campus with well-connected streets and networks, separation from vehicles (ensuring safety), good quality sidewalks, and increased campus green space.

Suggested Citation

  • Joohyun Lee & Mardelle McCuskey Shepley, 2020. "College Campuses and Student Walkability: Assessing the Impact of Smartphone Use on Student Perception and Evaluation of Urban Campus Routes," Sustainability, MDPI, vol. 12(23), pages 1-18, November.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:23:p:9986-:d:453400
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/23/9986/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/12/23/9986/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Balsas, Carlos J. L., 2003. "Sustainable transportation planning on college campuses," Transport Policy, Elsevier, vol. 10(1), pages 35-49, January.
    2. Hoogendoorn, S. P. & Bovy, P. H. L., 2004. "Pedestrian route-choice and activity scheduling theory and models," Transportation Research Part B: Methodological, Elsevier, vol. 38(2), pages 169-190, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Juan-Francisco Álvarez-Herrero, 2023. "Urban Itineraries with Smartphones to Promote an Improvement in Environmental Awareness among Secondary School Students," IJERPH, MDPI, vol. 20(3), pages 1-16, January.
    2. Reza Askarizad & Jinliao He, 2022. "Perception of Spatial Legibility and Its Association with Human Mobility Patterns: An Empirical Assessment of the Historical Districts in Rasht, Iran," IJERPH, MDPI, vol. 19(22), pages 1-17, November.
    3. Bojing Liao & Yifan Xu & Xiang Li & Ji Li, 2022. "Association between Campus Walkability and Affective Walking Experience, and the Mediating Role of Walking Attitude," IJERPH, MDPI, vol. 19(21), pages 1-13, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Xianing Wang & Zhan Zhang & Ying Wang & Jun Yang & Linjun Lu, 2022. "A Study on Safety Evaluation of Pedestrian Flows Based on Partial Impact Dynamics by Real-Time Data in Subway Stations," Sustainability, MDPI, vol. 14(16), pages 1-19, August.
    2. Jie Xu & Yao Ning & Heng Wei & Wei Xie & Jianyuan Guo & Limin Jia & Yong Qin, 2015. "Route Choice in Subway Station during Morning Peak Hours: A Case of Guangzhou Subway," Discrete Dynamics in Nature and Society, Hindawi, vol. 2015, pages 1-8, March.
    3. Rotaris, Lucia & Danielis, Romeo, 2014. "The impact of transportation demand management policies on commuting to college facilities: A case study at the University of Trieste, Italy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 67(C), pages 127-140.
    4. Selima Sultana & Hyojin Kim & Nastaran Pourebrahim & Firoozeh Karimi, 2018. "Geographical Assessment of Low-Carbon Transportation Modes: A Case Study from a Commuter University," Sustainability, MDPI, vol. 10(8), pages 1-23, August.
    5. Rybarczyk, Greg & Gallagher, Laura, 2014. "Measuring the potential for bicycling and walking at a metropolitan commuter university," Journal of Transport Geography, Elsevier, vol. 39(C), pages 1-10.
    6. Aura-Luciana Istrate & Vojtěch Bosák & Alexandr Nováček & Ondřej Slach, 2020. "How Attractive for Walking Are the Main Streets of a Shrinking City?," Sustainability, MDPI, vol. 12(15), pages 1-20, July.
    7. Jorge Ubirajara Pedreira Junior & Antônio Nélson Rodrigues da Silva & Cira Souza Pitombo, 2022. "Car-Free Day on a University Campus: Determinants of Participation and Potential Impacts on Sustainable Travel Behavior," Sustainability, MDPI, vol. 14(6), pages 1-20, March.
    8. Jie Yang & Nirajan Shiwakoti & Richard Tay, 2023. "Exploring Melbourne Metro Train Passengers’ Pre-Boarding Behaviors and Perceptions," Sustainability, MDPI, vol. 15(15), pages 1-20, July.
    9. Zamparini, L. & Domènech, A. & Miravet, D. & Gutiérrez, A., 2022. "Green mobility at home, green mobility at tourism destinations: A cross-country study of transport modal choices of educated young adults," Journal of Transport Geography, Elsevier, vol. 103(C).
    10. Zhou, Jiangping, 2012. "Sustainable commute in a car-dominant city: Factors affecting alternative mode choices among university students," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(7), pages 1013-1029.
    11. Hoogendoorn, Serge P. & Bovy, Piet H. L., 2004. "Dynamic user-optimal assignment in continuous time and space," Transportation Research Part B: Methodological, Elsevier, vol. 38(7), pages 571-592, August.
    12. Delucchi, Mark & Kurani, Ken, 2010. "How We Can Have Safe, Clean, Convenient, Affordable, Pleasant Transportation Without Making People Drive Less or Give Up Suburban Living," Institute of Transportation Studies, Working Paper Series qt0x92n7rg, Institute of Transportation Studies, UC Davis.
    13. Korbmacher, Raphael & Dang, Huu-Tu & Tordeux, Antoine, 2024. "Predicting pedestrian trajectories at different densities: A multi-criteria empirical analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 634(C).
    14. Mohammed Mahmod Shuaib, 2016. "Modeling the Pedestrian Ability of Detecting Lanes and Lane Changing Behavior," Modern Applied Science, Canadian Center of Science and Education, vol. 10(7), pages 1-1, July.
    15. Khaled Assi & Uneb Gazder & Ibrahim Al-Sghan & Imran Reza & Abdullah Almubarak, 2020. "A Nested Ensemble Approach with ANNs to Investigate the Effect of Socioeconomic Attributes on Active Commuting of University Students," IJERPH, MDPI, vol. 17(10), pages 1-17, May.
    16. Zhang, Yihao & Chai, Zhaojie & Lykotrafitis, George, 2021. "Deep reinforcement learning with a particle dynamics environment applied to emergency evacuation of a room with obstacles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 571(C).
    17. Shannon, Tya & Giles-Corti, Billie & Pikora, Terri & Bulsara, Max & Shilton, Trevor & Bull, Fiona, 2006. "Active commuting in a university setting: Assessing commuting habits and potential for modal change," Transport Policy, Elsevier, vol. 13(3), pages 240-253, May.
    18. Rosa Puertas & Luisa Marti, 2019. "Sustainability in Universities: DEA-GreenMetric," Sustainability, MDPI, vol. 11(14), pages 1-17, July.
    19. Marija Nikolić & Michel Bierlaire & Matthieu de Lapparent & Riccardo Scarinci, 2019. "Multiclass Speed-Density Relationship for Pedestrian Traffic," Transportation Science, INFORMS, vol. 53(3), pages 642-664, May.
    20. Xiao, Yao & Yang, Mofeng & Zhu, Zheng & Yang, Hai & Zhang, Lei & Ghader, Sepehr, 2021. "Modeling indoor-level non-pharmaceutical interventions during the COVID-19 pandemic: A pedestrian dynamics-based microscopic simulation approach," Transport Policy, Elsevier, vol. 109(C), pages 12-23.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:12:y:2020:i:23:p:9986-:d:453400. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.