Spatial causality: A systematic review on spatial causal inference

K Akbari, S Winter, M Tomko - Geographical Analysis, 2023 - Wiley Online Library
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 …

Inferring heterogeneous treatment effects of crashes on highway traffic: A doubly robust causal machine learning approach

S Li, Z Pu, Z Cui, S Lee, X Guo, D Ngoduy - Transportation research part C …, 2024 - Elsevier
Accurate estimating causal effects of crashes on highway traffic is crucial for mitigating the
negative impacts of crashes. Previous studies have built up a series of methods via …

Estimating heterogeneous treatment effects in road safety analysis using generalized random forests

Y Zhang, H Li, G Ren - Accident Analysis & Prevention, 2022 - Elsevier
Numerous evaluation studies have been conducted on a variety of road safety measures.
However, the issue of treatment heterogeneity, defined as the variation in treatment effects …

Propensity score methods for road safety evaluation: Practical suggestions from a simulation study

Y Zhang, H Li, NN Sze, G Ren - Accident Analysis & Prevention, 2021 - Elsevier
The propensity score (PS) based method has been increasingly used in road safety
evaluation studies. However, several major considerations regarding its implementation …

[HTML][HTML] Inferring the causal effect of work zones on crashes: Methodology and a case study

Z Zhang, B Akinci, S Qian - Analytic methods in accident research, 2022 - Elsevier
The increasing number of crashes occurring in work zones has received considerable
attention in recent years. Previous studies have mainly focused on associations between …

Crash modification factors of rumble strips on horizontal curves of two-lane rural roads: a propensity scores potential outcomes approach

T Ahmed, A Mahmud, VV Gayah - Accident Analysis & Prevention, 2024 - Elsevier
Horizontal curves are known to be more crash-prone than tangent sections particularly with
respect to roadway departure crashes. Rumble strips are an effective countermeasure to …

A causal inference method for improving the design and interpretation of safety research

Y Niu, Y Fan, Y Gao, Y Li - Safety science, 2023 - Elsevier
Although the research into causal effects has always been the core part of safety science,
the formal mathematical method to infer causal effects is quite new. With the rapid …

Incorporating Bayesian methods into the propensity score matching framework: A no-treatment effect safety analysis

L Li, ET Donnell - Accident Analysis & Prevention, 2020 - Elsevier
The propensity score matching method has been used to estimate safety countermeasure
(treatment) effects from observational crash data. Within the counterfactual framework …

Are multiple speed cameras more effective than a single one? Causal analysis of the safety impacts of multiple speed cameras

H Li, M Zhu, DJ Graham, Y Zhang - Accident Analysis & Prevention, 2020 - Elsevier
Most previous studies investigate the safety effects of a single speed camera, ignoring the
potential impacts from adjacent speed cameras. The mutual influence between two or even …

Verification of Zone-30-policy effect on accident reduction using propensity score matching method for multiple treatments

H Seya, K Yoshida, S Inoue - Case studies on transport policy, 2021 - Elsevier
In this study, the effect of the Zone 30 policy on traffic accident reduction in Hyogo prefecture,
Japan, was analyzed. Specifically, with the micro-districts (cho-cho-moku) of Hyogo …