Data-driven Approaches for Planning Smart and Resilient Cities
The session recording will be archived on the site until June 25th, 2023
This session was streamed but not recorded
Date: 3/27/2023
Time: 4:30 PM - 5:50 PM
Room: Tower Court C, Sheraton, I.M. Pei Tower, Second Level
Type: Paper,
Theme: Toward More Just Geographies
Curated Track: AAG's GeoEthics Initiative and Related Effort
Sponsor Group(s):
Geographic Information Science and Systems Specialty Group, Transportation Geography Specialty Group
Organizer(s):
Avipsa Roy University of California Irvine
Chair(s):
Avipsa Roy University of California Irvine
Description:
Cities possess massive resources, talent and creativity and serve as hubs for innovation,
knowledge sharing and experimentation, facilitating the process of generating new ideas,
embedding them locally and scaling-up what works best. With the advent of digital technologies
ranging from smartphones to drones, the way we sense our environment has seen a massive change. Integrating much of this diverse data together to focus on specific ways to make cities more efficient, resilient, and equitable is an open challenge. Digital innovation has made it evident that technologies should be used ethically and equitably to promote unbiased policymaking. In this session we invite papers on the role of geographical analysis and advanced quantitative methodologies, including machine learning, spatial analytics, GeoAI, explainable AI and spatial data science, to address issues of smart city planning and to promote sustainable and equitable solutions to persistent challenges in urban planning.
Presentations (if applicable) and Session Agenda:
Yuhao Kang, University of Wisconsin-Madison |
Citywide vs. Neighborhood Measures: Understanding the Differences of Safety Perceptions of the Built Environment using GeoAI and Survey - the case of Stockholm, Sweden |
Chayanika Singh |
Spatial Exploration of the Role of Perceived Neighborhood Safety on Physical Functioning of Older Americans |
Tessa Swanson |
Cell phone data for quantifying disaster recovery |
Non-Presenting Participants
| Role | Participant |
|
| |
| |
| |
| |
| |
| |
| |
| |
| |
Data-driven Approaches for Planning Smart and Resilient Cities
Description
Type: Paper,
Date: 3/27/2023
Time: 4:30 PM - 5:50 PM
Room: Tower Court C, Sheraton, I.M. Pei Tower, Second Level
Contact the Primary Organizer
Avipsa Roy University of California Irvine
avipsar@uci.edu
Session Sponsored By
