查看更多>>摘要：This paper proposes a methodology aimed at identifying the main factors affecting the rail sector in the new normal scenario, referring to the post-pandemic era, where the transportation system has experienced significant changes. Indeed, a survey was designed, and a questionnaire was submitted to a sample of employees of Ferrovie dello Stato Italiane (Italian State Railway company). Then, a ranking of these factors was identified through the estimation of a Structural Equation Model (SEM). Results showed that the areas of Energy and Environment, Lifestyle, and Economy will positively affect the future of rail in the new normal scenario. This study offers insights into the dynamics of the rail sector's adaptation to post-pandemic conditions. By highlighting the factors that play a crucial role in shaping the future of rail transportation, this research suggests innovative strategies and policy initiatives to foster sustainable growth and resilience in the sector.
查看更多>>摘要：Opening a new train station is considered a way to generate amenity in a neighborhood. However, as train lines extend from a central city to suburbs and remote places, train stations may generate disamenity depending on the local context. This study examines the externality of stations from a house valuation perspective. A mixed-effects model is employed to capture the varying relationship between house prices and distance to a nearby station. The results show that this relationship significantly varies by county, which leads to a house price premium in some counties and price discount in others. This study attributes the price discount (disamenity) to low ridership, seasonality of ridership, passenger traits, and long distance from a central city. The study results are expected to provide policymakers with balanced insights on establishing a new station so that train stations can serve as a local amenity, not a harmful facility in the neighborhood.
查看更多>>摘要：Few studies have examined the relationship at the microscopic spatial scale. In this study, multiple sources of data including mobile phone signal data, automatic fare collection system data, geo-information data, and street-view image data are combined to measure metro ridership and built environment at the plot or block scale. The Random Gradient Boosting Decision Tree was used to explore relationship between the built environment and ridership. The results show the following: (1) the relationship between built environment and ridership shows different types of curves. (2) The path distance to the metro station and the visual perception of road space have more significant impacts on ridership than road network density. (3) The location of the grid also affects grid-level metro ridership. The results suggest that planners should consider the locational factors, pay attention to the different effective thresholds of different variables on ridership and the longitudinal landscaping of non-motorized urban roads.
Boban DjordjevicAnna StihlbergEvelin KrmacAjinkya S. Mane...
62-88页
查看更多>>摘要：Rail freight is one of the most important pillars for the decarbonising of the transport system in Europe. To ensure the decarbonisation effect of rail freight, a substantial modal split on rail freight is needed, with the aim of strengthening the competitiveness of rail freight and improving the quality of service on the rail freight corridors (RFCs). With the aim of monitoring and evaluating the development of RFC performance, the Data Envelopment Analysis model (DEA) was applied in this study. The evaluation of efficiency was carried out for eight RFCs in 2020 and 2021 using performance indicators considered with Pearson correlation analysis. The results of the efficiency of the RFCs showed that seven of the studied corridors are not operated efficiently, while the correlation analysis showed a significant dependency between the selected indicators. Nevertheless, the efficiency of the corridors and the overall performance of rail freight can be improved by integrating innovative technologies. Therefore, this study also investigated how digital automatic couplers (DACs) and intelligent video gates (IVGs) affect the efficiency of RFCs. The results show that the inclusion of indicators related to DAC and IVG tasks has a positive impact on improving the efficiency of RFCs.
查看更多>>摘要：In this paper, we model the intensity of cross-border railway traffic on the Alpine-Western Balkan Rail Freight Corridor (AWB RFC). For each of the four border crossing points: Dimitrovgrad, Presevo, Sid, and Subotica, time series composed of 102 monthly export and import railway freight traffic observations are used for training and testing of alternative forecasting models. Traditional ARIMA, Long-Short-Term Memory (LSTM) neural network, hybrid ARIMA-LSTM and Singular Spectrum Analysis (SSA) models, are fitted to each of the time series. For all the considered time series, the best model was chosen based on the lowest values of commonly used metrics for measuring the performance of forecasting models. LSTM models outperformed all other models with the highest prediction accuracy while SSA models exhibited the lowest accuracy. By utilizing advanced forecasting models, this research contributes to finding effective solutions for addressing the issue of inadequate planning of border crossing procedures in railway traffic.
查看更多>>摘要：Considering the traffic flow of the inner and outer intersection approach of urban arterial roads, an optimization control model of traffic arterial road signal parameters with signal cycle, green light time, and phase offset as the optimization variables is proposed. In order to solve the optimization model of timing parameters, the swarm evolution mechanism of artificial bee colony algorithm is improved and applied. The case study shows that the optimization model of timing parameters can collaboratively optimize the signal cycle, green light time and phase offset of the arterial coordinated control system, and the timing results of the optimization model by comprehensive consideration of inner and outer approach traffic flow are more beneficial to the improvement of traffic efficiency than the decoupling optimization algorithm. The proposed optimization model and solution algorithm can improve the effect of arterial coordinated control.
NETL
NSTL
Taylor & Francis