16 citations · 33 across the 6 of their papers we have counts for
6 papers
Social Media Data Mining of Human Behaviour during Bushfire Evacuation
Junfeng Wu, Xiangmin Zhou, Erica Kuligowski +3
Traditional data sources on bushfire evacuation behaviour, such as quantitative surveys and manual observations have severe limitations. Mining social media data related to bushfir…
Activity-based and agent-based Transport model of Melbourne (AToM): an open multi-modal transport simulation model for Greater Melbourne
Afshin Jafari, Dhirendra Singh, Alan Both +4
Agent-based and activity-based models for simulating transportation systems have attracted significant attention in recent years. Few studies, however, include a detailed represent…
An Activity-Based Model of Transport Demand for Greater Melbourne
Alan Both, Dhirendra Singh, Afshin Jafari +2
In this paper, we present an activity-based model for the Greater Melbourne area, using a combination of hierarchical clustering, probabilistic, and gravity-based approaches. The m…
What will they do? Modelling self-evacuation archetypes
Dhirendra Singh, Ken Strahan, Jim McLennan +2
A decade on from the devastating Black Saturday bushfires in Victoria, Australia, we are at a point where computer simulations of community evacuations are starting to be used with…
Building the road network for city-scale active transport simulation models
Afshin Jafari, Alan Both, Dhirendra Singh +2
In this paper, we introduce and test our algorithm to create a road network representation for city-scale active transportation simulation models. The algorithm relies on open and…
Building a large synthetic population from Australian census data
Bhagya N. Wickramasinghe, Dhirendra Singh, Lin Padgham
We present work on creating a synthetic population from census data for Australia, applied to the greater Melbourne region. We use a sample-free approach to population synthesis th…