Urban mobility and activity space

KA Cagney, E York Cornwell… - Annual Review of …, 2020 - annualreviews.org
Recent theoretical and methodological advances in urban sociology, including spatially
located data, provide new opportunities to consider the joint influence of mobility and place …

Spatio-temporal capsule-based reinforcement learning for mobility-on-demand coordination

S He, KG Shin - IEEE Transactions on Knowledge and Data …, 2020 - ieeexplore.ieee.org
As an alternative means of convenient and smart transportation, mobility-on-demand (MOD),
typified by online ride-sharing and connected taxicabs, has been rapidly growing and …

Understanding the interdependency of land use and mobility for urban planning

K Jayarajah, A Tan, A Misra - Proceedings of the 2018 ACM International …, 2018 - dl.acm.org
Urban planners and economists alike have strong interest in understanding the inter-
dependency of land use and people flow. The two-pronged problem entails systematic …

Multi-head spatio-temporal attention mechanism for urban anomaly event prediction

H Huang, X Yang, S He - Proceedings of the ACM on Interactive, Mobile …, 2021 - dl.acm.org
Timely forecasting the urban anomaly events in advance is of great importance to the city
management and planning. However, anomaly event prediction is highly challenging due to …

Group-in: Group inference from wireless traces of mobile devices

G Solmaz, J Fürst, S Aytaç, FJ Wu - 2020 19th ACM/IEEE …, 2020 - ieeexplore.ieee.org
This paper proposes Group-In, a wireless scanning system to detect static or mobile people
groups in indoor or outdoor environments. Group-In collects only wireless traces from the …

Leveraging mobility flows from location technology platforms to test crime pattern theory in large cities

C Kadar, S Feuerriegel, A Noulas… - Proceedings of the …, 2020 - ojs.aaai.org
Crime has been previously explained by social characteristics of the residential population
and, as stipulated by crime pattern theory, might also be linked to human movements of non …

GeoLifecycle: User engagement of geographical exploration and churn prediction in LBSNs

YD Kwon, D Chatzopoulos, E ul Haq… - Proceedings of the …, 2019 - dl.acm.org
As Location-Based Social Networks (LBSNs) have become widely used by users,
understanding user engagement and predicting user churn are essential to the …

Modeling food-related business closure in select New York City communities using multi-scale and spatial features

S Wang, DF Laefer - … and Planning B: Urban Analytics and …, 2024 - journals.sagepub.com
This paper introduces an extensible framework to predict small-business closures to inform
urban planners, lenders, and business owners as to factors to improve business resilience …

Interpretable business survival prediction

AK Vallapuram, N Nanda, YD Kwon, P Hui - Proceedings of the 2021 …, 2021 - dl.acm.org
The survival of a business is undeniably pertinent to its success. A key factor contributing to
its continuity depends on its customers. The surge of location-based social networks such as …

Assessing the Impact of Cultural Planning in the Age of Social Media: Twitter-Based Indicators for Established and Emerging Art Locations

L Tomarchio, P He, P Herthogs… - International Journal on …, 2023 - World Scientific
Planning administrations are concerned with the diffusion of art. The concept of the Creative
City has encouraged planners to develop cultural policies to support creative economies …