TY - JOUR
T1 - A Landscape of Crowd-management Support
T2 - An Integrative Approach
AU - Wijermans, Nanda
AU - Conrado, C.
AU - van Steen, Martinus Richardus
AU - Martella, Claudio
AU - Li, Jie
PY - 2016/7
Y1 - 2016/7
N2 - Of the many crowd behavior models, very few have been used in assisting crowd management practice. This lack of usage is partly due to crowd management involving a diversity of situations that require competencies in observing, sense-making, anticipating and acting. Crowd research is similarly scattered across disciplines and needs integration to advance the field towards supporting practice. To address these needs, we present inCrowd, an integrated framework detailing a high-level architecture of a decision-support system for crowd management and model development. It also offers a lens for categorizing crowd literature, allowing us to present a structured literature review
AB - Of the many crowd behavior models, very few have been used in assisting crowd management practice. This lack of usage is partly due to crowd management involving a diversity of situations that require competencies in observing, sense-making, anticipating and acting. Crowd research is similarly scattered across disciplines and needs integration to advance the field towards supporting practice. To address these needs, we present inCrowd, an integrated framework detailing a high-level architecture of a decision-support system for crowd management and model development. It also offers a lens for categorizing crowd literature, allowing us to present a structured literature review
U2 - 10.1016/j.ssci.2016.02.027
DO - 10.1016/j.ssci.2016.02.027
M3 - Article
SN - 0925-7535
VL - 86
SP - 142
EP - 164
JO - Safety science
JF - Safety science
ER -