Assessing Physical Environment of TOD Communities around Metro Stations : Using Big Data and Machine Learning

Assessing Physical Environment of TOD Communities around Metro Stations : Using Big Data and Machine Learning

Policy makers and city planning professionals who work on transit-oriented development are often interested in evaluating the quality of physical environment around metro stations. How to carry out this task comprehensively, effectively and repeate...

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Bibliographic Details
Main Authors: Fang, Wanli, Liu, Liu, Zhou, Jianhao
Format: Working Paper
Language:English
Published: World Bank, Washington, DC 2020
Subjects:
TRANSIT
BIG DATA
MACHINE LEARNING
URBAN TRANSPORT
URBAN TRANSIT
SPATIAL ECONOMICS
PUBLIC TRANSPORT
Online Access:http://documents.worldbank.org/curated/en/433621581930100479/Assessing-Physical-Environment-of-TOD-Communities-around-Metro-Stations-Using-Big-Data-and-Machine-Learning
http://hdl.handle.net/10986/33343

Internet

http://documents.worldbank.org/curated/en/433621581930100479/Assessing-Physical-Environment-of-TOD-Communities-around-Metro-Stations-Using-Big-Data-and-Machine-Learning
http://hdl.handle.net/10986/33343

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