IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i23p6560-d289138.html
   My bibliography  Save this article

Real-Time Pedestrian Flow Analysis Using Networked Sensors for a Smart Subway System

Author

Listed:
  • Sewoong Hwang

    (Graduate School of Information, Yonsei University, 50, Yonsei-ro, Seodaemun-gu, Seoul 03722, Korea)

  • Zoonky Lee

    (Graduate School of Information, Yonsei University, 50, Yonsei-ro, Seodaemun-gu, Seoul 03722, Korea)

  • Jonghyuk Kim

    (Division of Computer Science and Engineering, Sunmoon University, 70, Sunmoon-ro221beon-gil, Tangjeong-myeon, Asan-si, Chungcheongnam-do 31460, Korea)

Abstract

The application of smart city technologies requires new data analysis methods to interpret the voluminous data collected. In this study, we first analyzed the transfer behavior of subway pedestrians using the fingerprinting technique using data collected by more than 100 MAC (Media Access Control) ID sensors installed in a congested subway station serving two subway lines. We then developed a model that employs an AI (Artificial Intelligence)-based methodology, the cumulative visibility of moving objects (CVMO), to present the data in such a manner that it could be used to address pedestrian flow issues in this real-world implementation of smart city technology. The MAC ID location data collected during a three-month monitoring period were mapped using the fingerprinting wireless location sensing method to display the congestion situation in real time. Furthermore we developed a model that can inform immediate response to identified conditions. In addition, we formulated several schemes for disbursing congestion and improving pedestrian flow using behavioral economics, and then confirmed their effectiveness in a follow-up monitoring period. The proposed pedestrian flow analysis method cannot only solve pedestrian congestion, but can also help to prevent accidents and maintain public order.

Suggested Citation

  • Sewoong Hwang & Zoonky Lee & Jonghyuk Kim, 2019. "Real-Time Pedestrian Flow Analysis Using Networked Sensors for a Smart Subway System," Sustainability, MDPI, vol. 11(23), pages 1-16, November.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:23:p:6560-:d:289138
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/23/6560/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/11/23/6560/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yigitcanlar, Tan & Kamruzzaman, Md., 2018. "Does smart city policy lead to sustainability of cities?," Land Use Policy, Elsevier, vol. 73(C), pages 49-58.
    2. Robert Cowley & Simon Joss & Youri Dayot, 2018. "The smart city and its publics: insights from across six UK cities," Urban Research & Practice, Taylor & Francis Journals, vol. 11(1), pages 53-77, January.
    3. Lars Marcus & Matteo Giusti & Stephan Barthel, 2016. "Cognitive affordances in sustainable urbanism: contributions of space syntax and spatial cognition," Journal of Urban Design, Taylor & Francis Journals, vol. 21(4), pages 439-452, July.
    4. Yunsick Sung, 2016. "RSSI-Based Distance Estimation Framework Using a Kalman Filter for Sustainable Indoor Computing Environments," Sustainability, MDPI, vol. 8(11), pages 1-9, November.
    5. Tina Ringenson & Mattias Höjer & Anna Kramers & Anna Viggedal, 2018. "Digitalization and Environmental Aims in Municipalities," Sustainability, MDPI, vol. 10(4), pages 1-16, April.
    6. Antoine Picon, 2018. "Urban Infrastructure, Imagination and Politics: from the Networked Metropolis to the Smart City," International Journal of Urban and Regional Research, Wiley Blackwell, vol. 42(2), pages 263-275, March.
    7. Shiann Ming Wu & Tsung-chun Chen & Yenchun Jim Wu & Miltiadis Lytras, 2018. "Smart Cities in Taiwan: A Perspective on Big Data Applications," Sustainability, MDPI, vol. 10(1), pages 1-14, January.
    8. Hyunsoo Kim & Sangwon Han, 2018. "Accuracy Improvement of Real-Time Location Tracking for Construction Workers," Sustainability, MDPI, vol. 10(5), pages 1-16, May.
    9. Caragliu, Andrea & Del Bo, Chiara F., 2019. "Smart innovative cities: The impact of Smart City policies on urban innovation," Technological Forecasting and Social Change, Elsevier, vol. 142(C), pages 373-383.
    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. Sesil Koutra & Christos S. Ioakimidis, 2022. "Unveiling the Potential of Machine Learning Applications in Urban Planning Challenges," Land, MDPI, vol. 12(1), pages 1-19, December.
    2. Dorota Kamrowska-Załuska, 2021. "Impact of AI-Based Tools and Urban Big Data Analytics on the Design and Planning of Cities," Land, MDPI, vol. 10(11), pages 1-19, November.
    3. Alexandre B. Gonçalves, 2021. "Spatial Analysis and Geographic Information Systems as Tools for Sustainability Research," Sustainability, MDPI, vol. 13(2), pages 1-3, January.

    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. Johannes Stübinger & Lucas Schneider, 2020. "Understanding Smart City—A Data-Driven Literature Review," Sustainability, MDPI, vol. 12(20), pages 1-23, October.
    2. Yoon-Soo Shin & Junhee Kim, 2022. "A Vision-Based Collision Monitoring System for Proximity of Construction Workers to Trucks Enhanced by Posture-Dependent Perception and Truck Bodies’ Occupied Space," Sustainability, MDPI, vol. 14(13), pages 1-13, June.
    3. Wang, Mengmeng & Zhou, Tao, 2022. "Understanding the dynamic relationship between smart city implementation and urban sustainability," Technology in Society, Elsevier, vol. 70(C).
    4. Long Qian & Xiaolin Xu & Yunjie Zhou & Ying Sun & Duoliang Ma, 2023. "Carbon Emission Reduction Effects of the Smart City Pilot Policy in China," Sustainability, MDPI, vol. 15(6), pages 1-24, March.
    5. Miguel Manjon & Nathalie Crutzen, 2022. "Air quality in smart sustainable cities: target and/or trigger?," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 68(2), pages 359-386, April.
    6. Baogui Xin & Yongmei Qu, 2019. "Effects of Smart City Policies on Green Total Factor Productivity: Evidence from a Quasi-Natural Experiment in China," IJERPH, MDPI, vol. 16(13), pages 1-15, July.
    7. Yan, Zheming & Sun, Zao & Shi, Rui & Zhao, Minjuan, 2023. "Smart city and green development: Empirical evidence from the perspective of green technological innovation," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    8. Anna Visvizi & Miltiadis D. Lytras, 2018. "It’s Not a Fad: Smart Cities and Smart Villages Research in European and Global Contexts," Sustainability, MDPI, vol. 10(8), pages 1-10, August.
    9. Guo, Qingbin & Wang, Yong & Dong, Xiaobin, 2022. "Effects of smart city construction on energy saving and CO2 emission reduction: Evidence from China," Applied Energy, Elsevier, vol. 313(C).
    10. Shu, Yunxia & Deng, Nanxin & Wu, Yuming & Bao, Shuming & Bie, Ao, 2023. "Urban governance and sustainable development: The effect of smart city on carbon emission in China," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    11. Dong, Feng & Li, Yangfan & Li, Kun & Zhu, Jiao & Zheng, Lu, 2022. "Can smart city construction improve urban ecological total factor energy efficiency in China? Fresh evidence from generalized synthetic control method," Energy, Elsevier, vol. 241(C).
    12. Yigitcanlar, Tan & Han, Hoon & Kamruzzaman, Md. & Ioppolo, Giuseppe & Sabatini-Marques, Jamile, 2019. "The making of smart cities: Are Songdo, Masdar, Amsterdam, San Francisco and Brisbane the best we could build?," Land Use Policy, Elsevier, vol. 88(C).
    13. Chu, Zhen & Cheng, Mingwang & Yu, Ning Neil, 2021. "A smart city is a less polluted city," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    14. Anastasiadou, K. & Vougias, S., 2019. "“Smart” or “sustainably smart” urban road networks? The most important commercial street in Thessaloniki as a case study," Transport Policy, Elsevier, vol. 82(C), pages 18-25.
    15. Fan, Xiaomin & Xu, Yingzhi, 2023. "Does high-speed railway promote urban innovation? Evidence from China," Socio-Economic Planning Sciences, Elsevier, vol. 86(C).
    16. Tan Yigitcanlar & Kevin C. Desouza & Luke Butler & Farnoosh Roozkhosh, 2020. "Contributions and Risks of Artificial Intelligence (AI) in Building Smarter Cities: Insights from a Systematic Review of the Literature," Energies, MDPI, vol. 13(6), pages 1-38, March.
    17. Federico Cugurullo, 2018. "Book review: Sustainable Smart Cities in India: Challenges and Future Perspectives," Urban Studies, Urban Studies Journal Limited, vol. 55(15), pages 3494-3496, November.
    18. Eryu Zhang & Xiaoyu He & Peng Xiao, 2022. "Does Smart City Construction Decrease Urban Carbon Emission Intensity? Evidence from a Difference-in-Difference Estimation in China," Sustainability, MDPI, vol. 14(23), pages 1-16, December.
    19. Cho, Ji Yeon & Park, Soo Kyung, 2023. "Key factors for sustainable operation of smart rural communities in aging societies: Voices of Korean community leaders," Technology in Society, Elsevier, vol. 74(C).
    20. Debora Sotto & Arlindo Philippi & Tan Yigitcanlar & Md Kamruzzaman, 2019. "Aligning Urban Policy with Climate Action in the Global South: Are Brazilian Cities Considering Climate Emergency in Local Planning Practice?," Energies, MDPI, vol. 12(18), pages 1-31, September.

    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:11:y:2019:i:23:p:6560-:d:289138. 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.