Human mobility within urban geography
Urban geography shapes how people move inside the city.
Multiple Gravity Laws for Human Mobility within Cities
The gravity model of human mobility has successfully described the deterrence of travels with distance in urban mobility patterns. While a broad spectrum of deterrence was found across different cities, yet it is not empirically clear if movement patterns in a single city could also have a spectrum of distance exponents denoting a varying deterrence depending on the origin and destination regions in the city. By analyzing the travel data in the twelve most populated cities of the United States of America, we empirically find that the distance exponent governing the deterrence of travels significantly varies within a city depending on the traffic volumes of the origin and destination regions. Despite the diverse traffic landscape of the cities analyzed, a common pattern is observed for the distance exponents; the exponent value tends to be higher between regions with larger traffic volumes, while it tends to be lower between regions with smaller traffic volumes. This indicates that our method indeed reveals the hidden diversity of gravity laws that would be overlooked otherwise.
Publication
O.-H. Kwon, I. Hong, W.-S. Jung, and H.-H. Jo, “Multiple gravity laws for human mobility within cities”, EPJ Data Science 12, 57 (2023).
Presentation
[1] “Multiple gravity laws for human mobility within cities”, Korean Physical Society Spring meeting, Daejeon, Republic of Korea, Apr. 19-21, 2023. (Oral, in Korean)
[2] “Multiple gravity laws for human mobility within cities”, The 15th Asia Pacific Physics Conference, Online, Aug. 21-26, 2022. (Oral)
[3] “Explaining the varying exponent of gravity model on urban landscapes”, Korea Academy of Complexity Studies Conference, Online, Nov. 6, 2021. (Oral, in Korean)
[4] “Explaining the varying exponent of gravity model on urban landscapes”, Korean Physical Society Fall meeting, Online, Nov. 4-6, 2020. (Poster, in Korean)
Mobility divergence project
Presentation
[1] “Mobility divergence as a window to explore local business”, 9th International Conference on Computational Social Science, Copenhagen, Denmark, Jul. 17-20, 2023. (Oral)
[2] “Urban mobility potential explained by socioeconomic status”, 8th International Conference on Computational Social Science, Chicago, IL, USA, Jul. 19-22, 2022. (Poster)
Data
LODES data provided by US Census Bureau describes the commuting patterns in US cities.
SafeGraph mobility data