TY - GEN
T1 - Measuring crowding levels using circle packing method
T2 - 8th International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2023
AU - Hung, Arthur
AU - Sadrani, Mohammad
AU - Antoniou, Constantinos
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Measurements of human crowding (occupancy) levels at various locations are crucial for transport planning research. Since information about visitor crowding might change over time and space, keeping track of data would be helpful in analyzing significant changes. In this study, we employ a circle packing approach to measure occupancy levels and variations seen over time on beach extents. As a representative case study, Waikiki Beach in Hawaii was studied. We then analyze beach loss scenarios (due to a sea level rise) using the classification of visitors by groups of one, two, and three or more individuals. For example, a reduction of 49.2% of beachgoers is seen in a 50% beach loss scenario compared to the existing situation. This means that a loss in beach area has a likewise loss in beach visitors, with a caveat that this loss in visitors is not dependent on the beach area but on beach topology. We provide an accurate surveying of the beach profile to extend the research to various sea level loss scenarios, since beach extents are unknown relative to expected sea level rise. The findings show that by including occupancy assessment in beach nourishment planning, stakeholders can be informed of the long-term effects of beach nourishment and the economic implications of losing beach space and visitors.
AB - Measurements of human crowding (occupancy) levels at various locations are crucial for transport planning research. Since information about visitor crowding might change over time and space, keeping track of data would be helpful in analyzing significant changes. In this study, we employ a circle packing approach to measure occupancy levels and variations seen over time on beach extents. As a representative case study, Waikiki Beach in Hawaii was studied. We then analyze beach loss scenarios (due to a sea level rise) using the classification of visitors by groups of one, two, and three or more individuals. For example, a reduction of 49.2% of beachgoers is seen in a 50% beach loss scenario compared to the existing situation. This means that a loss in beach area has a likewise loss in beach visitors, with a caveat that this loss in visitors is not dependent on the beach area but on beach topology. We provide an accurate surveying of the beach profile to extend the research to various sea level loss scenarios, since beach extents are unknown relative to expected sea level rise. The findings show that by including occupancy assessment in beach nourishment planning, stakeholders can be informed of the long-term effects of beach nourishment and the economic implications of losing beach space and visitors.
KW - beaches
KW - circle packing
KW - occupancy measurement
UR - http://www.scopus.com/inward/record.url?scp=85175398170&partnerID=8YFLogxK
U2 - 10.1109/MT-ITS56129.2023.10241738
DO - 10.1109/MT-ITS56129.2023.10241738
M3 - Conference contribution
AN - SCOPUS:85175398170
T3 - 2023 8th International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2023
BT - 2023 8th International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2023
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 14 June 2023 through 16 June 2023
ER -