OOIR: Observatory of International Research

Papers

(The H4-Index of European Transport Research Review is 22. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-01-01 to 2025-01-01.)

Article	Citations
Assesment of the potential of cargo bikes and electrification for last-mile parcel delivery by means of simulation of urban freight flows	113
An economic view on rerouting railway wagons in a single wagonload network to avoid congestion	98
A mixed-methods analysis of mobility behavior changes in the COVID-19 era in a rural case study	58
Framework for connecting the mobility challenges in low density areas to smart mobility solutions: the case study of Estonian municipalities	54
Do spatial differences in the personal car market reflect a centre-periphery structure? The case of Poland	49
Step-free railway station access in the UK: the value of inclusive design	47
Enhanced speed advice for connected vehicles in the proximity of signalized intersections	46
Weather impacts on various types of road crashes: a quantitative analysis using generalized additive models	45
Mapping travel behavior changes during the COVID-19 lock-down: a socioeconomic analysis in Greece	42
A systematic literature review of ride-sharing platforms, user factors and barriers	41
Inference of dynamic origin–destination matrices with trip and transfer status from individual smart card data	38
Sensitivity enriched multi-criterion decision making process for novel railway switches and crossings − a case study	35
Challenges of delivering TOD in low-density contexts: the Swedish experience of barriers and enablers	35
On how to incorporate public sources of situational context in descriptive and predictive models of traffic data	32
Exploring injury severity of pedestrian-vehicle crashes at intersections: unbalanced panel mixed ordered probit model	31
Who continued travelling by public transport during COVID-19? Socioeconomic factors explaining travel behaviour in Stockholm 2020 based on smart card data	28
Assessment of the dynamics of concentration and competitive positions of the Baltic cruise port system	27
Exploration of the characteristics and trends of electric vehicle crashes: a case study in Norway	27
Modelling connection trips to long-distance travel	26
Estimated crash avoidance with the hypothetical introduction of automated vehicles: a simulation based on experts’ assessment from French in-depth data	26
Assessing robustness in multimodal transportation systems: a case study in Lisbon	25
Assessing self-reported risky behavior among two-wheeled vehicle users: an exploratory analysis comparing e-bikers to other riders	24