Analysis of city composition based on basic amenities including public transport

Abstract

Cities are crucial in societal transformations, and urban development significantly affects living standards and economic growth, particularly as many industrial sector workers reside in urban areas. In this project, we study the accessibility of important amenities (e.g. essential shops and services, schools, etc.) with the influence of public transport through the concept of the X-minute city. We build a statistical system based on 2SFCA and node-place index model to measure the TOD degree of the city based on the railway network of the city.

Yubo Cai 蔡宇博

My research interests include Computational Mathematics, Operation Research, Machine Learning.