Population Distribution Estimation of an Urban Area Using Crowd Sourced Data for Disaster Response

Population spatialization and synthesis with open data

Individuals together with their locations & attributes are essential to feed micro-level applied urban models (for example, spatial micro-simulation and agent-based modeling) for policy evaluation. Existed studies on population spatialization and population synthesis are generally separated. In developing countries like China, population distribution in a fine scale, as the input for population...

Using Crowd-Sourced Data to Quantify the Complex Urban Fabric - OpenStreetMap and the Urban-Rural Index

The REAL Corpus: A Crowd-Sourced Corpus of Human Generated and Evaluated Spatial References to Real-World Urban Scenes

We present a newly crowd-sourced data set of natural language references to objects anchored in complex urban scenes (In short: The REAL Corpus – Referring Expressions Anchored Language). The REAL corpus contains a collection of images of real-world urban scenes together with verbal descriptions of target objects generated by humans, paired with data on how successful other people were able to ...

Physical Vulnerability Assessment of the Hashtgerd New Town against a Probable Earthquake

Aims & Backgrounds: The occurrence of earthquakes in urban areas, have destructive effects, and the inhabitants are increasingly suffering from their harmful impacts. It appears that preparing proactive planning before the disaster occurrence, may reduce damages, casualties and financial losses. This paper aims to identify the vulnerability of the physical fabric of Hashtgerd new town against a...

Estimation of Transient Occupants on Weekdays and Weekends for Risk Exposure Analysis

Understanding the characteristics of the spatiotemporal distribution of a population, which varies according to the time of the day and the day of the week (weekday or weekend), is one of the most important issues in the field of urban disaster mitigation planning. However, the existing Person Trip Survey data based on weekdays is not appropriate for estimating the spatiotemporal distribution o...