2025
Transit Triumph or Traffic Tangle? Evaluating Los Angeles’ Transit Equity for the 2028 Car-Free Olympics
This project assesses the feasibility of a “car-free” 2028 Los Angeles Olympics, where all venue access relies on public transport. Using the Two-Step Floating Catchment Area (2SFCA) method, it analyzes accessibility, evaluating infrastructure, population density, and socioeconomic factors. By mapping the accessibility index (AI) across neighborhoods, the study examines whether the transit network can support the event. Future directions explore equity in access and the long-term transportation legacy of the Games.
Transit Triumph or Traffic Tangle? Evaluating Los Angeles’ Transit Equity for the 2028 Car-Free Olympics
This project assesses the feasibility of a “car-free” 2028 Los Angeles Olympics, where all venue access relies on public transport. Using the Two-Step Floating Catchment Area (2SFCA) method, it analyzes accessibility, evaluating infrastructure, population density, and socioeconomic factors. By mapping the accessibility index (AI) across neighborhoods, the study examines whether the transit network can support the event. Future directions explore equity in access and the long-term transportation legacy of the Games.
Foursquare Open Source Places - POI Data Processing
Foursquare Open Source Places (FSQ OS Places) is a high-quality, open POI (Points of Interest) dataset released by Foursquare, containing over 104 million POIs worldwide. While platforms like OpenStreetMap (OSM) and Overture Maps aim to improve open POI coverage, FSQ OS Places provides a more extensive and precise dataset. This repository provides a step-by-step guide on downloading POI data and converting it from GeoJSON to Shapefile (SHP) for use in ArcGIS Pro, QGIS, and other GIS applications.
Foursquare Open Source Places - POI Data Processing
Foursquare Open Source Places (FSQ OS Places) is a high-quality, open POI (Points of Interest) dataset released by Foursquare, containing over 104 million POIs worldwide. While platforms like OpenStreetMap (OSM) and Overture Maps aim to improve open POI coverage, FSQ OS Places provides a more extensive and precise dataset. This repository provides a step-by-step guide on downloading POI data and converting it from GeoJSON to Shapefile (SHP) for use in ArcGIS Pro, QGIS, and other GIS applications.
DeepLabV3Plus for Satellite Image Segmentation - OpenEarthMap
This repository contains the computer code that supported the publication of our research: "Multi-source Tri-environmental Conceptual Framework for Fire Impact Analysis" (under review in Urban Informatics). This package helps researchers quickly generate high-resolution population density layers using dasymetric mapping, a sophisticated geospatial technique that leverages detailed land cover data to distribute demographic data across predefined spatial units, such as census blocks.
DeepLabV3Plus for Satellite Image Segmentation - OpenEarthMap
This repository contains the computer code that supported the publication of our research: "Multi-source Tri-environmental Conceptual Framework for Fire Impact Analysis" (under review in Urban Informatics). This package helps researchers quickly generate high-resolution population density layers using dasymetric mapping, a sophisticated geospatial technique that leverages detailed land cover data to distribute demographic data across predefined spatial units, such as census blocks.
2024
Dasymetric Mapper: High-Resolution Population Density Layer Generation
This repository contains the computer code that supported the publication of our research: "Multi-source Tri-environmental Conceptual Framework for Fire Impact Analysis" (under review in Urban Informatics). This package helps researchers quickly generate high-resolution population density layers using dasymetric mapping, a sophisticated geospatial technique that leverages detailed land cover data to distribute demographic data across predefined spatial units, such as census blocks.
Dasymetric Mapper: High-Resolution Population Density Layer Generation
This repository contains the computer code that supported the publication of our research: "Multi-source Tri-environmental Conceptual Framework for Fire Impact Analysis" (under review in Urban Informatics). This package helps researchers quickly generate high-resolution population density layers using dasymetric mapping, a sophisticated geospatial technique that leverages detailed land cover data to distribute demographic data across predefined spatial units, such as census blocks.
Geospatial Analysis of Socioeconomic Status and Restaurant Distribution in LA
This data science project aims to perform a geospatial analysis of socioeconomic status and its impact on restaurant distribution across Los Angeles County. By leveraging diverse web sources, this study examines the correlation between socioeconomic factors — like education and income — and the variety of restaurants available in different areas. The goal is to understand how these elements influence food service diversity, contributing valuable insights into urban planning and social equity.
Geospatial Analysis of Socioeconomic Status and Restaurant Distribution in LA
This data science project aims to perform a geospatial analysis of socioeconomic status and its impact on restaurant distribution across Los Angeles County. By leveraging diverse web sources, this study examines the correlation between socioeconomic factors — like education and income — and the variety of restaurants available in different areas. The goal is to understand how these elements influence food service diversity, contributing valuable insights into urban planning and social equity.