402. Analyzing Human Movement in Urban Spaces: The Influence of Cultural Venues, Green Infrastructure, and Fare Zones in London
Invited abstract in session WD-38: Privacy-Aware and Optimization-Driven AI Systems, stream Data Science meets Optimization.
Wednesday, 14:30-16:00Room: Michael Sadler LG19
Authors (first author is the speaker)
| 1. | Jihye Hwang
|
| 2. | Seongsoo Jang
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| Cardiff Business School, Cardiff University | |
| 3. | Yuncheol Kang
|
Abstract
Understanding human movement in urban spaces requires an analysis of how cultural, environmental, and transportation-related factors shape mobility. This study explores the influence of cultural venues, green infrastructure, and London’s fare zones on the movement patterns of international and domestic travelers. Using GPS data from mobile devices, we identify areas with high population activity intensity (PAI) at different times of the day and analyze areas of interest (AOI) to examine how urban spaces attract and sustain human activity. We investigate how major cultural venues—such as museums and historical landmarks—and access to green infrastructure, including parks and riverfronts, shape the movement patterns of both international and domestic travelers. Additionally, we analyze the role of London’s fare zones in shaping public transportation usage, assessing whether fare structures significantly influence mobility choices and route selection. To detect AOI hotspots dynamically, we integrate LSTM deep learning models with spatial and environmental data, enabling real-time analysis of evolving movement patterns. Unlike static human mobility studies, this approach dynamically tracks evolving urban dynamics. The findings will support urban planning and transportation strategies by optimizing cultural venue accessibility for travelers, enhancing green infrastructure to promote sustainable mobility, and guiding fare zone policies to support balanced urban development.
Keywords
- Analytics and Data Science
- Data Envelopment Analysis
Status: accepted
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