Promet - Traffic&Transportation, Vol. 36 No. 2, 2024.

Table of contents

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Spatial Econometric Analysis of Carbon Dioxide Emission – European Case Study (page 193-202)

Zsombor Szabó, Mária Szalmáné Csete, Tibor Sipos
Original scientific paper

Prerequisites for Statistical Analyses of the Quality of Instrument Flight Procedures (page 203-218)

Roman Romanović, Kristina Samardžić, Doris Novak
Original scientific paper

Lumbar Moment Estimation of Engine Drivers in a Static Sitting Working Position by using Multiple Linear Regression (page 219-231)

Davor Sumpor, Sandro Tokić, Jasna Leder Horina, Mislav Stjepan Žebec
Original scientific paper

Integrated Optimisation Model of Daily Freight Train Scheduling and Dynamic Railcar Routing Based on a Two-Layer Space-Time Network (page 232-248)

Bowen Ma, Yuguang Wei, Bo Fang, Chunyi Li
Original scientific paper

Research on Irregular Warehouse Layout Based on Optimised Genetic Algorithm (page 249-260)

Zheng Lu, Pei Wang, Xiaodong Zhang
Original scientific paper

Conflict Detection and Separation Configuration Method Based on Uncertain Flight Trajectory (page 261-278)

Xuanming Ren, Xinmin Tang, Kang Zhang, Qixin Lu
Original scientific paper

Analysis of Beijing Traffic Violations Based on the BERT-CRF Model (page 279-293)

Jie Li, Yuntao Shi, Shuqin Li
Original scientific paper

Traffic Signal Timing Scheme Based on the Improved Harris Hawks Optimisation (page 294-306)

Hongluan Zhao, Mengmeng Su
Original scientific paper

Eco-Efficiency Evaluation of Integrated Transportation Hub Using Super-Efficiency EBM Model and Tobit Regressive Analysis – Case Study in China (page 307-325)

Ling Wang, Qi Wang
Original scientific paper

Towards Intercity Mobility System – Insights into the Spatial Interaction Gravity Model and Determination Approach (page 326-344)

Qinyu Wang, Weijie Yu, Wei Wang, Xuedong Hua
Original scientific paper

Study of Residents’ Ongoing Behavioural Intentions for Regular Bus Travel (page 345-356)

Jinhui Li, Jiahao Sun, Weihang Wang
Original scientific paper

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