A spatially autoregressive and heteroskedastic space-time pedestrian exposure modeling framework with spatial lags and endogenous network topologies
A spatially autoregressive and heteroskedastic space-time pedestrian exposure modeling framework with spatial lags and endogenous network topologies
Jungyeol Hong,V. Shankar,Narayanaswamy Venkataraman
2016 · DOI: 10.1016/J.AMAR.2016.05.001
32 Citations
TLDR
It was found that network topology measures had an endogenous impact on pedestrian density and the pedestrian time occupancy equation is characterized by endogenous selection effects, indicating that endogeneity and selection bias are critical issues that should not be ignored in pedestrian exposure modeling.