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Mapping User Experiences around Transit Stops Using Computer Vision Technology: Action Priorities from Cairo

Author

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  • Shereen Wael

    (Department of Urban Design and Planning, Faculty of Engineering, Ain Shams University, Cairo 11517, ‎Egypt)

  • Abeer Elshater

    (Department of Urban Design and Planning, Faculty of Engineering, Ain Shams University, Cairo 11517, ‎Egypt)

  • Samy Afifi

    (Department of Urban Design and Planning, Faculty of Engineering, Ain Shams University, Cairo 11517, ‎Egypt)

Abstract

In the field of urban studies, artificial intelligence technology offers potential applications. There are, however, limited sources on how technology can contribute to the study of user experiences in city contexts. This study examined the factors affecting user experiences around three exits of one of the Cairo Metro stops in Ramses Square in Cairo, Egypt. Using a Geographical Information System (GIS) and GoodVision Video Insights and spatial analysis was conducted for the selected built environment. Our results demonstrate that pedestrian flow, thermal comfort, safety levels, and destination proximity contribute to the user experience. Our results also prove that urban configuration with multiple elements in the stations’ context strongly affects metro user experience. As such, three levels of priorities were suggested to guide city planners, urban designers, and landscape architects through developing or designing stations with user experience in mind. For future studies, this study offers a valuable method for developing qualitative and quantitative analyses of pedestrian movement in stations’ contexts.

Suggested Citation

  • Shereen Wael & Abeer Elshater & Samy Afifi, 2022. "Mapping User Experiences around Transit Stops Using Computer Vision Technology: Action Priorities from Cairo," Sustainability, MDPI, vol. 14(17), pages 1-20, September.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:17:p:11008-:d:905790
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    1. Bu, Fanping & Greene-Roesel, Ryan & Diogenes, Mara Chagas & Ragland, David R, 2007. "Estimating Pedestrian Accident Exposure: Automated Pedestrian Counting Devices Report," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt0p27154n, Institute of Transportation Studies, UC Berkeley.
    2. Keemin Sohn, 2013. "Feature Mapping the Seoul Metro Station Areas Based on a Self-Organizing Map," Journal of Urban Technology, Taylor & Francis Journals, vol. 20(4), pages 23-42, October.
    3. Monika Ziemska-Osuch & Dawid Osuch, 2022. "Modeling the Assessment of Intersections with Traffic Lights and the Significance Level of the Number of Pedestrians in Microsimulation Models Based on the PTV Vissim Tool," Sustainability, MDPI, vol. 14(14), pages 1-11, July.
    4. Haydee Caballero & Luis Hidalgo & Jorge Quijada-Alarcon, 2022. "Study of Pedestrian Zone According to Superblock Criteria in the Casco Antiguo of Panama," Sustainability, MDPI, vol. 14(6), pages 1-16, March.
    5. Dafna Fisher-Gewirtzman, 2018. "Perception of density by pedestrians on urban paths: an experiment in virtual reality," Journal of Urban Design, Taylor & Francis Journals, vol. 23(5), pages 674-692, September.
    6. Yun-Shang Chiou & Ailyne Yap Bayer, 2021. "Microscopic Modeling of Pedestrian Movement in a Shida Night Market Street Segment: Using Vision and Destination Attractiveness," Sustainability, MDPI, vol. 13(14), pages 1-29, July.
    7. Bernice Liu & Amirarsalan Mehrara Molan & Anurag Pande & Jonathan Howard & Serena Alexander & Zhiliang Luo, 2021. "Microscopic Traffic Simulation as a Decision Support System for Road Diet and Tactical Urbanism Strategies," Sustainability, MDPI, vol. 13(14), pages 1-14, July.
    8. Hisham Abusaada & Abeer Elshater, 2021. "Revealing distinguishing factors between Space and Place in urban design literature," Journal of Urban Design, Taylor & Francis Journals, vol. 26(3), pages 319-340, May.
    9. Enshan Hooi & Dorina Pojani, 2020. "Urban design quality and walkability: an audit of suburban high streets in an Australian city," Journal of Urban Design, Taylor & Francis Journals, vol. 25(1), pages 155-179, January.
    10. Caitlin D. Cottrill & Sybil Derrible, 2015. "Leveraging Big Data for the Development of Transport Sustainability Indicators," Journal of Urban Technology, Taylor & Francis Journals, vol. 22(1), pages 45-64, January.
    11. Todor Stojanovski, 2020. "Urban design and public transportation – public spaces, visual proximity and Transit-Oriented Development (TOD)," Journal of Urban Design, Taylor & Francis Journals, vol. 25(1), pages 134-154, January.
    12. Dohyung Kim, 2020. "Pedestrian and Bicycle Volume Data Collection Using Drone Technology," Journal of Urban Technology, Taylor & Francis Journals, vol. 27(2), pages 45-60, April.
    13. Regine Gerike & Caroline Koszowski & Bettina Schröter & Ralph Buehler & Paul Schepers & Johannes Weber & Rico Wittwer & Peter Jones, 2021. "Built Environment Determinants of Pedestrian Activities and Their Consideration in Urban Street Design," Sustainability, MDPI, vol. 13(16), pages 1-21, August.
    14. Arlie Adkins & Jennifer Dill & Gretchen Luhr & Margaret Neal, 2012. "Unpacking Walkability: Testing the Influence of Urban Design Features on Perceptions of Walking Environment Attractiveness," Journal of Urban Design, Taylor & Francis Journals, vol. 17(4), pages 499-510.
    15. Duives, Dorine C. & Daamen, Winnie & Hoogendoorn, Serge P., 2015. "Quantification of the level of crowdedness for pedestrian movements," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 427(C), pages 162-180.
    16. Ana Gessa & Pilar Sancha, 2020. "Environmental Open Data in Urban Platforms: An Approach to the Big Data Life Cycle," Journal of Urban Technology, Taylor & Francis Journals, vol. 27(1), pages 27-45, January.
    17. Guo, Zhan & Wilson, Nigel H.M., 2011. "Assessing the cost of transfer inconvenience in public transport systems: A case study of the London Underground," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(2), pages 91-104, February.
    18. Salonen, Maria & Toivonen, Tuuli, 2013. "Modelling travel time in urban networks: comparable measures for private car and public transport," Journal of Transport Geography, Elsevier, vol. 31(C), pages 143-153.
    19. Wenting Jin & Ying Yao & Guichao Ren & Xiaohua Zhao, 2022. "Evaluation of Integration Information Signage in Transport Hubs Based on Building Information Modeling and Virtual Reality Technologies," Sustainability, MDPI, vol. 14(16), pages 1-20, August.
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