The growing interest in causal inference in recent years has led to new causal inference
methodologies and their applications across disciplines and research domains. Yet, studies …

We estimate the maximum capability to reduce CO 2 by substituting private car travel for e-
bike. We use spatial microsimulation (population-synthesis) to simulate the adult population …

Despite the increasing availability of spatial count data in research areas like technology
spillovers, patenting activities, insurance payments, and crime forecasting, specialized …

The uptake of e-scooters as an alternative mode of travel has risen sharply in recent years;
however, their safety is less-understood compared to other modes of travel. For the first time …

Statistical methods to evaluate the effectiveness of interventions are increasingly challenged
by the inherent interconnectedness of units. Specifically, a recent flurry of methods research …

Background Although numerous efforts have been devoted to exploring the effects of area-
wide factors on the frequency of pedestrian crashes in neighborhoods over the past two …

This study intended to identify the potential factors contributing to the occurrence of
pedestrian crashes at signalized intersections in a densely populated city, based on a …

This manuscript bridges the divide between causal inference and spatial statistics,
presenting novel insights for causal inference in spatial data analysis, and establishing how …

Introduction The major goal of the present research is to determine hotspot areas by the
generation of a geospatial model and develop a model associated with pedestrian-vehicle …

Increasing evidence suggests that neighborhood-based measures of socioeconomic status
are correlated with traffic injury. The main objective of this study is to determine the …