European Transport - Trasporti Europei

Nowadays, parking is a challenging issue all around the world, especially in the Central Business District (CBD) during the day and in residential areas during the night. Parking demand in CBD is increasing day by day due to insufficient off-street parking facilities and the tendency to park near the destination. The on-street night parking demand is increasing in residential areas due to the non-availability of sufficient off-street parking facilities on the premises. In this study, one residential area in Roorkee has been selected as the case study area. Socio-economic, demographic and parking characteristics were used as parameters to generate the parking demand model. The selected parameters were collected from the field using the in-out survey and questionnaire survey. Two parking demand models were developed by logistic regression analysis. The first model was developed without the parking fees, while the second model considers parking fees as a parameter. Also, the sensitivity analysis was done on both models to examine the changes in the existing parking demand.

Ashwani Bokadia

European Transport/Trasporti Europei

Evaluation of On-Street Night Parking Demand: A Case Study of Roorkee City

街道夜间停车需求评估：以鲁尔基市为例

The application of circular economy (CE) principles in reverse logistics (RL) processes involves the recovery, recycling, reuse and remanufacturing of materials that return from the consumer to the producer. This literature review assesses whether the manufacturing sector, technology, supply chain (SC) structure, customers’ preferences, and policy makers influence the diffusion of circular RL, highlighting the strategies adopted by companies. The results show different levels of circular RL implementation in different industries. Technology is an enabler but also an obstacle, as it requires large financial resources and a skilled workforce. The involvement of all SC stakeholders proves to be a critical factor in the successful implementation of circular RL, although the likelihood of success depends significantly on producers being the initiators. Policymakers also play a key role in guiding business investment in circular RL projects. This article summarizes the literature on CE and RL on analytical dimensions rarely studied together, providing researchers, companies and public decision makers with an overview of the most critical factors influencing the management of RL within circular processes. Controversial findings, open questions, and promising lines of future research are also outlined.

Marta Biancolin

Reverse logistics and circular economy: A literature review

逆向物流与循环经济：文献综述

The monetization of road crashes helps improve road safety awareness. This study focuses on the cost of Road Traffic Accidents (RTAs) in Ernakulam, a South Indian city, based on the Human Capital (HC) methodology, as it is most effective to estimate the cost of RTAs in developing nations. The loss is calculated from various data sources, including in-depth accident databases (police), questionnaire surveys, private hospital records, and vehicle garage bills considering the collision types. Most of the total costs are attributed to lost productivity, followed by medical expenses, vehicle damage, and human costs. Administrative costs comprise the smallest portion (0.73%) of the overall accident costs. The total cost estimation of RTAs in Ernakulam city for the years 2018 to 2021 is in the range of INR 66,96,04,438 to INR 103,05,12,440, which represents 0.44% to 0.7% of the city’s Gross Domestic Product (GDP), which is a non-repairable loss to the nation.

Sumayya Naznin P H

Human Capital Approach for road accident costing in an Indian City

印度城市道路事故成本的人力资本法

In the past years, the Internet of Things has created tremendous changes in various industries, including transportation systems and especially railway signalling systems. One of the issues that is very important in signalling systems is the design of trains speed profiles to control the movement of trains based on the defined headway and line conditions such as other trains positions. Information packet loss is one of the issues that should be considered in the field of Internet of Things and if this issue occurs, effective solutions should be adopted in the system for optimal performance. In this article, a method for generating speed profiles for moving block signalling systems in case of packet loss is proposed and the stability of the system is checked using the proposed method. Finally, we will implement the proposed method on a part of a railway line and examine the results.

Farzaad Soleymaani

Proposing a Train Speed Profile Generation Method in Railway Signalling Systems Based on Internet of Things (IoT): Performance and Stability Assurance

提出基于物联网（IoT）的铁路信号系统列车速度剖面生成方法：性能与稳定性保障

The manuscript deals with the development of electromobility in Norway and its impact on tax revenues. The detailed focus of the paper is on registration and road taxes directly related to the acquisition and operation of a road motor vehicle. The paper aims to verify whether a growing share of electric cars in Norway's fleet impacts the decrease in tax collection, namely road and registration tax. Norway was chosen because it is the country with the highest share of electric cars in the vehicle fleet in the world. Impacts on road and registration tax are investigated, focusing on 1998–2021. Our results suggest that the introduction of electromobility has a negative effect on the collection of road and registration tax, with the addition that this impact is statistically significant only in the case of registration tax. In other words, our research assumption was only confirmed in the case of the registration tax.

Břetislav Andrlík

Impact of electromobility development on tax revenues: A case study on Norway

电动汽车发展对税收收入的影响：挪威案例研究

Globalization and geographic fragmentation of global manufacturing processes have characterized the expansion of international trade. As a result, supply chains have grown longer and more complex, making transportation a key factor in business decisions about the export or import of goods. By analysing the export and import of merchandise between Slovakia and Vietnam, this paper aims to determine the best mode of transportation in terms of transport modalities. To put it another way, it uses a case study, LPI index and results of primary research to identify qualitative transport indicators when the companies import or export goods from Vietnam to Slovakia. We also focused on examining the macroeconomics factors - agreements between European Union (Slovakia as a member of the EU) and Vietnam, which affect the international trade.

Lucia Khúlová

The importance of transportation in the Slovakia-Vietnam business decisions about the importing or exporting of goods

斯洛伐克与越南在进出口商品业务决策中交通运输的重要性

Air pollution caused by motor vehicles is harmful to public health. Managing the cause of this type of pollution is very difficult. Effective prediction and management of pollution can be attained only by computing air pollution. It is difficult to measure emissions directly, so it is estimated using a variety of models developed worldwide. The current study made an attempt to integrate the emission model COPERT with the traffic assignment model in CUBE software for predicting the traffic-related emissions of pollutants SO2, NO2 &amp; PM2.5 in mixed traffic conditions by considering passenger car and light duty vehicles (LDVS), two-wheeler, auto and bus. The study also aimed to include fuel variables and meteorological variable humidity along with fleet composition, average speed and average monthly temperature as inputs. This would enable us to control the rising vehicular emission, by assessing current and future air quality and thereby implementing policy decisions.

Gopika Vinayakumar

Estimation of Traffic Emissions by Integrating COPERT and CUBE

综合COPERT与CUBE的交通排放估算

There has been a tremendous increase in vehicular growth in the last few decades, which has increased congestion in urban areas. Travel time is one of the measures to understand the congestion levels of the urban corridors. The increased use of Bluetooth devices by vehicular drivers may enable the dynamic data collection of travel time through Bluetooth sensors in urban areas. In this context, the objective of the present study is to evaluate the travel time of vehicles using Bluetooth devices and check the reliability of this Bluetooth technology for traffic studies. To fulfil the stated objective, a Bluetooth application was installed on a smartphone in order to collect the vehicular travel time on a selected corridor. A video camera was setup for traffic data collection at a mid-block section, which is used for the validation of the collected travel time data. The K nearest neighbor (KNN) model was developed with travel time (TT) data. The average TT of cars and other vehicles is estimated and found to be higher in the evening compared to the morning. From the developed KNN model, it is also found that the predicted TT for the next time intervals shows that they follow the trend of the actual travel time data obtained from the Bluetooth app. From the results of this study, it is feasible to estimate the travel time in urban areas using Bluetooth devices, which is useful for engineers and planners for suitable policy decision.

Mouli Singarapu

Analysis of Vehicular Travel Time along the Urban Corridor Using Bluetooth Based Data

基于蓝牙数据的都市走廊车辆行驶时间分析

This study focuses on assessing potential thrust areas that can attract personalized vehicle based daily work trips to mass transit. The proposed study specifically targets to Tier-II medium sized Indian metropolises for the estimation of a probability mode shift from personalized 2-wheelers’ to public transport on the introduction of hypothetically designed improved mass transit services. Data pertaining to study were collected through a stated preference approach that involved home-interview and online survey methods. The Latent variable enriched binary logit mode-shift behaviour model was calibrated using the Statistical Package for the Social Sciences platform and validated using hold-back data. The utility function developed using coefficients obtained through calibrated model can be further used as a user friendly tool for predicting pobability of mode shifts.The current research is an attempt to incorporate latent variables in context of Indian metropolitan area which has rarely been attempted by any researcher.

Nipa A Desai

Modelling traveller mode shift behavior from personalized two-wheelers to public transit for work trips : A stated preference approach for Indian metropolitan city

建模从个性化两轮车到公共交通的工作出行方式转变行为：针对印度大都市的陈述偏好方法

This article investigates the reasons why people use motorcycles in two Vietnamese megacities, Hanoi and Ho Chi Minh City (HCMC). The research targets university students. The various factors that lead students to use motorcycles, as well as the linkages between those factors, are assessed through a statistical technique known as Partial Least Squares Structural Equation Modelling (PLS-SEM). Conceptually, this study is guided by an extended version of the Theory of Planned Behaviour, a well-established socio-psychological framework. We find that widespread motorcycle use among students is linked to behavioural beliefs, normative beliefs, and control beliefs. Motorcycles are variously seen as convenient, inexpensive, fun, flexible, modern, and wonted – whereas factors such as health, safety, status, and environmental impact are irrelevant. But motorcycle use is also determined by habit and values (progressive or conservative). In fact, the effect of these two additional constructs is larger than the effect of beliefs. In addition, we find that higher income students, those who come from the provinces, and those who are more attached to cars are more prone to using motorcycles as well.

短名
Journal Impact	0.75
国际分区	TRANSPORTATION(Q4)

ISSN	1825-3997, 2283-5520
h-index	25

涉及主题	工程类计算机科学运输工程数学业务地理经济生物考古历史政治学土木工程法学统计物理医学机器学习哲学人工智能操作系统程序设计语言生态学地质学
出版信息	出版商: Universita degli Studi di Trieste，出版周期: ，期刊类型: journal，开源期刊: 否
基本数据	创刊年份: 2015，原创研究文献占比: 100.00%，自引率:28.60%， Gold OA占比: 0.00%

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