A comprehensive view of intelligent transport systems for urban smart mobility

ABSTRACT

Information accuracy and decision-making speed are of paramount importance in managing today’s mobility of goods and people inside the city. Intelligent Transport Systems (ITS) can provide road users with updated information and forecasts on both traffic and weather conditions. The result is a higher efficiency in the use of resources and a better management of physical flows. The purpose of this paper is to conduct an in-depth review on the role of ITS supporting urban Smart Mobility, in order to identify the main gaps in the literature and propose future research streams. In total, 71 papers have been thoroughly analysed: they are mainly focused on technology, with limited attention to value creation. Even though some benefits have been examined, a general lack of quantitative models emerged. Eventually, there is a lack of contributions considering both people and freight transport, even if they are strongly related, especially in an urban environment.     

建立灰色关联评价模型科学评价铁路客运服务质量

通过对传统评价模型与灰色关联评价模型的论述,引入灰色关联评价模型,客观评价铁路客运服务质量的建模思路,并通过例证说明灰色关联评价模型的计算方法,使客运服务质量评价标准化,也促使铁路客运服务质量不断提高,成为制定铁路客运票价的重要因素。     

铁路运输企业主辅分离相关理论问题研究

介绍交易费用定义和交易费用理论的主要观点,通过交易费用理论在铁路主辅分离改革中的应用,提出铁路主辅分离的实施条件是国家有关制度的健全与完善,以及按市场经济要求理顺相关关系。同时应根据行业特性,对不同类型企业制定不同的分离策略,妥善解决产权界定、企业改制、市场生存和人员安置等问题。     

铁路、民航客运市场竞争焦点及对策探讨

由于民航在机场建设和航线开发上的不断发展,使750～1500km范围内的客运市场成为与铁路竞争的焦点。随着民航票价的下浮,运营成本和人工成本的进一步降低,将对铁路形成更大的挑战。为此,铁路必须明确客运市场竞争重点,通过采取加强管理、降低戍本,继续提速改造、提高运输质量等措施,提高铁路的综合竞争力。     

Transportation conditions and access to services in a context of urban sprawl and deregulation. The case of Dar es Salaam

Major deficiencies in urbanisation and transportation systems are reinforcing patterns of social and urban segregation in Dar es Salaam, Tanzania's largest city. Analysis of the 1993 Human Resources Development Survey shows that there are numerous obstacles to the daily travel of the city's inhabitants, notably the poor. These barriers weigh heavily on schedules, complicate access to services ever further, limit the use of urban space, and place considerable pressure on household budgets. Consequently, the poorest individuals tend to retreat into their neighbourhood where the low-quality urban facilities are unable to assist in the development of human and social capital and economic opportunities, the alleviation of poverty or the prevention of social exclusion.     

云南铁路货运量增长问题研究

在分析国内外铁路货运需求增长模型的基础上,提出铁路货运需求增长过程的4阶段划分理论,结合云南铁路发展滞后的现状,建立了消除铁路货运能力限制的货运量增长模型。通过对云南铁路货运量和货运需求量的计算,应用MATLAB仿真技术验证了模型的正确性,并对云南铁路货运量和货运需求量进行了预测。     

产销不平衡运输问题的遗传算法研究

根据运输问题的特点和要求,在运输成本最低的基础上,构建了产销不平衡运输问题的数学模型,并将该模型转换为产销平衡的运输问题,然后把遗传算法引入到模型的求解中,通过选择恰当的编码方法和遗传算子,求得模型的最优解。     

铁路煤炭调运问题的遗传算法

根据铁路运输中现有煤炭的运输状况，构造出煤炭调运时，煤种间不能相互代用和可以相互代用的数学模型，并基于遗传算法的C语言程序，对该模型进行了遗传算法设计，最后通过算例，验证了模型和算法的可行性。     

Reducing the ecological footprint of urban cars

This study develops the policy-making capabilities of the Ecological Footprint. The new capabilities we introduce in our Ecological Footprint model allow us to clarify policy options in the face of the increasing management complexity due to a more interconnected and uncertain world. We investigate the effectiveness of three illustrative policy options for reducing the Ecological Footprint of urban car transport: (1) improvements in efficiency/technology, (2) substitution with alternate fuel mixes, and (3) the reduction in demand by altering urban form. We investigate the success of policy options for a subnational case study jurisdiction in Australia, but in the uncertain global context. We use a resilience framework that considers critical social, economic, and environmental variables, multiple scales, and multiple possible futures. We find that delaying policy options to mitigate CO₂ emissions from the transport sector will increase the risks borne by society as a result of future global uncertainty, the uncertain timing of globally coordinated action on climate change and the timing of peak oil. We also find that the success of local policy is affected by the global future which prevails. The use of the Ecological Footprint allows policy to be informed by the consequences of both CO₂ emissions and increasing demand for land. The study provides a decision-making framework that allows local decision makers to make robust policy despite global uncertainty. This framework has wider applicability to other nations and/or subnational jurisdictions worldwide.     

The Short‐Term Economic Impact of Levying E‐Tolls on Industries

TERM is used to analyse the short‐term regional economic impact of an increase in industries' transport costs when paying E‐Tolls. Market‐clearing and accounting equations allow regional economies to be represented as an integrated framework, labour adjusts to accommodate increasing transportation costs, and investments change to accommodate capital that is fixed. 1 1 TERM is a bottom‐up CGE model designed for highly disaggregated regional data. The Enormous Regional Model's originate from Horridge et al. ( 2005 ) and are better explained in Horridge ( 2011 ).
We concluded that costs from levying E‐Tolls on industries are small in comparison to total transport costs, and the impact on economic aggregates and most industries are marginal: investments (?0.404%), gross domestic product (GDP) (?0.01) and consumer price inflation (?0.10%). This is true even when considering costs and benefits on industries as well as consumers. Industries that experienced the greatest decline in output were transport, construction and gold. Provinces that are closer to Gauteng and have a greater share of severely impacted industries experienced larger GDP and real income reductions. Mpumalanga's decrease in GDP was 17% greater than Gauteng's.