PROJECT OBJECTIVES & BACKGROUND

This research was conducted from May – July 2025 to fulfill the Capstone requirement of my MSUA degree at Georgia Tech. Our team partnered with members from the Center for Spatial Information Science at The University of Tokyo and were tasked with conducting various studies of Tokyo’s Nihonbashi District. My team focused on analyzing urban risk and resilience in the district and developed a Digital Twin that informed our recommendations for community stakeholders. My individual contributions included analysis of urban flow, urban networks, social vulnerability indicators, and spatial distribution. My work included open-source tools such as NetworkX and OSMnx, as well as ArcGIS Pro. Our work culminated in a group presentation with recommendations to area planners, as well as a paper that was accepted for presentation and publication at an international conference.

INDIVIDUAL CONTRIBUTIONS

3D visualization of high-frequency pedestrian flows from GPS data. Created by cleaning data in Python and then visualizing with kepler.gl.

3D visualization of high-frequency vehicle and transit flows from GPS data. Created by cleaning data in Python and then visualizing with kepler.gl.

Visualization of the same vehicle GPS data, but with an expanded timescale to better represent traffic patterns on a weekly basis.

Selection of my individual slides given at our Community Stakeholder Presentation.
Zero Club, Tokyo, 6-20-25

Map created using OSMnx and geopandas to determine
pedestrian, vehicle, and transit networks in Nihonbashi.

Map created to conduct vulnerability analysis of populations in Nihonbashi.

Map created from GPS analysis of congestion using OSMnx and NetworkX.

GROUP OUTCOMES

Full group presentation given at our Community Stakeholder Presentation.
Zero Club, Tokyo, 6-20-25

Paper was accepted for presentation and publication at
the 20th 3D GeoInfo & 9th SDSC Conference.

please visit my github for
code scripts of each visualization.

URBAN RISK & RESILIENCE

NIHONBASHI DISTRICT, TOKYO, JAPAN

PROJECT OBJECTIVES & BACKGROUND

This research was conducted from May – July 2025 to fulfill the Capstone requirement of my MSUA degree at Georgia Tech. Our team partnered with members from the Center for Spatial Information Science at The University of Tokyo and were tasked with conducting various studies of Tokyo’s Nihonbashi District. My team focused on analyzing urban risk and resilience in the district and developed a Digital Twin that informed our recommendations for community stakeholders. My individual contributions included analysis of urban flow, urban networks, social vulnerability indicators, and spatial distribution. My work included open-source tools such as NetworkX and OSMnx, as well as ArcGIS Pro. Our work culminated in a group presentation with recommendations to area planners, as well as a paper that was accepted for presentation and publication at an international conference.