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

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 repeatedly, with limited time and budget? Under the GEF Sustainable Cities Integrated Approach Pilot Project (P156507), the task team has explored the possibility of utilizing street view photos and machine learning...
Voir la suite

INFORMATION

  • Fang,Wanli;
    Liu,Liu - ITSRA;
    Zhou,Jianhao;

  • 2020/01/01

  • Document de travail

  • 146116

  • 1

  • 1

  • Chine,

  • Asie de l’Est et Pacifique,

  • 2020/02/17

  • Disclosed

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

  • physical environment

Voir la suite

TÉLÉCHARGER

RAPPORT COMPLET

Version officielle du document (peut inclure des signatures etc…)

  • Version officielle (PDF)

  • TXT*

  • Total Downloads** : 1218

  • Download Stats

  • *La version texte est une version à reconnaissance optique de caractères non-corrigée. Cette version est fournie uniquement pour accommoder les utilisateurs disposant de connections lentes.

LIENS CONNEXES

BOLETÍN DEL BANCO MUNDIAL

This document is being processed or is not available.