Leveraging Street Level Imagery for Urban Planning
نویسندگان
چکیده
منابع مشابه
Moving beyond Operations: Leveraging Big Data for Urban Planning Decisions
Big data is here: urban infrastructure systems are being instrumented to provide continuous reports on their performance; buildings are monitoring and reporting occupancy and energy use; distributed water and air quality sensors are providing real time information on dozens of environmental parameters. Cell phone location data is providing a detailed view of the activity patterns for millions o...
متن کاملLarge Scale Business Discovery from Street Level Imagery
We address the challenging problem of detecting business store fronts in street level imagery. Business store fronts are a challenging class of objects to detect due to high variability in visual appearance. Inherent ambiguities in visually delineating their physical extents, especially in urban areas, where multiple store fronts often abut each other, further increases complexity. We posit tha...
متن کاملPlanning Level Regression Models for Prediction of the Number of Crashes on Urban Arterials in Bangladesh
In most of the developing countries, the metropolitan organizations do not assess the safety consequences of alternative transportation systems and one of the reasons is the lack of suitable methodology. The goal of this paper is to develop practical tools for assessing safety consequences of arterial roads in the context of long-term urban transportation plans in Dhaka city, the capital of Ban...
متن کاملModeling urban street patterns.
Urban street patterns form planar networks whose empirical properties cannot be accounted for by simple models such as regular grids or Voronoi tesselations. Striking statistical regularities across different cities have been recently empirically found, suggesting that a general and detail-independent mechanism may be in action. We propose a simple model based on a local optimization process co...
متن کاملEstimating city-level travel patterns using street imagery: a case study of using Google Street View in Britain
Background: Street imagery is a promising big data source providing current and historical images in more than 100 countries. Previous studies used this data to audit built environment features. Here we explore a novel application, using Google Street View (GSV) to predict travel patterns at the city level. Methods: We sampled 34 cities in Great Britain. In each city, we accessed GSV images fro...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Environment And Planning B: Urban Analytics And City Science
سال: 2022
ISSN: ['2399-8083', '2399-8091']
DOI: https://doi.org/10.1177/23998083221083364