Modeling yard crane operators as reinforcement learning agents

Due to the importance of drayage operations, operators at marine container terminals are increasingly looking to reduce the time a truck spends at the terminal to complete a transaction. This study introduces an agent-based approach to model yard cranes for the analysis of truck turn time. The objective of the model is to solve the yard crane scheduling problem (i.e. determining the sequence of drayage trucks to serve to minimize their waiting time). It is accomplished by modeling the yard crane operators as agents that employ reinforcement learning; specifically, q-learning. The proposed agent-based, q-learning model is developed using Netlogo. Experimental results show that the q-learning model is very effective in assisting the yard crane operator to select the next best move. Thus, the proposed q-learning model could potentially be integrated into existing yard management systems to automate the truck selection process and thereby improve yard operations.     

Estimating demand variables of maritime container transport: An aggregate procedure for the Mediterranean area

Demand variables of maritime container transport (throughput, transhipment and origin–destination flows) may be estimated with freight demand models. As their parameters generally vary both in time and space, models may not be transferable to geographical areas and time periods differing from that for which they are calibrated.     

Changes in the external costs of freight surface transport In Spain

This paper studies the external costs of surface freight transport in Spain and finds that a reduction occurred over the past15 years. The analysis yields two conclusions: trucks have experienced a reduction in external costs, and rail has lower externalities. The external costs of road freight transport decrease between 1993 and 2007 (44%). The external costs of rail freight increase by 12%. During this period, the external costs of road freight related to climate increase by 16%, oppositely than those from air pollution and accidents (51 and 44%). The external costs of rail related to pollutant emissions and climate increase by 4% and 43%. Oppositely, the external costs related to accidents decrease by 27%. Road freight generates eight times the external costs of rail, 2.35 Euro cents per tonne kilometre in 2005 (5.6% accidents, 74.7% air pollution and 19.7% climate) vs. 0.28 (13.4% accidents, 53.9% air pollution and 32.7% climate).     

Analyzing aviation safety: Problems,challenges, opportunities

This paper reviews the economic literature relating to aviation safety; analyzes the safety record of commercial passenger aviation in the United States and abroad; examines aviation security as a growing dimension of aviation safety; and identifies emerging issues in airline safety and challenges for aviation safety research. Commercial airline safety has improved dramatically since the industry's birth over a century ago. Fatal accident rates for large scheduled jet airlines have fallen to the level where (along many dimensions) aviation is now the safest mode of commercial transportation. However, safety performance has not been evenly distributed across all segments of commercial aviation, nor among all countries and regions of the world. The finding that developing countries have much poorer safety records has been a persistent conclusion in aviation safety research and continues to be the case. Unfortunately, operations data are not available for many of the airlines that experience fatal accidents, so it is not possible to calculate reliable fatality rates for many segments of the worldwide aviation industry. Without more complete information, it will likely be difficult to make substantial improvements in the safety of these operations. Challenges to improving aviation security include: how much to focus on identifying the terrorists as opposed to identifying the tools they might use; determining how to respond to terrorist threats; and determining the public versus private roles in providing aviation security. The next generation of safety challenges now require development and understanding of new forms of data to improve safety in other segments of commercial aviation, and moving from a reactive, incident-based approach toward a more proactive, predictive and systems-based approach.     

Determinants of motor vehicle crash fatalities using Bayesian model selection methods

Motor vehicle crashes continue to result in large numbers of fatalities each year and represent the leading cause of death for young persons. In 2006, for example, there were over 42,700 fatalities associated with these crashes. Understanding the causes of these crashes and methods to reduce them continues to be of great interest to economists, public health officials, and policy makers. We present in this paper statistical models using a rich set of panel data covering the period 1980 to 2007 by state and the District of Columbia. Our choice of variables is based on an extensive literature highlighting the importance of policy, safety, demographic, and economic determinants of fatality rates.     

Induced travel demand: Evidence from a pseudo panel data based structural equations model

Induced traffic, defined as additional demand generated by improvements in travel conditions, has been a topic of research for many years. While previous studies have focused on specific and localised changes, the research described in this paper deals with the aggregate effects of changed generalised costs of travel on traffic generation: the propensity of participating in out-of-home activities on a given day, the number of trips and journeys conducted, and the resulting total times out-of-home and distances travelled. The generalised cost and accessibility elasticities estimated with a structural equations model for a pseudo panel constructed with the Swiss National Travel surveys since 1974 are surprisingly substantial even after correcting for age, cohort and other socio-demographic effects.     

Paradoxes of rationality in road safety policy

Rationality is an ideal for transport safety policy. As developed within normative welfare economics, rationality denotes the efficient use of safety measures based on cost–benefit analyses that include all relevant impacts of the measures. Efficiency in the technical sense of the term provides a perfectly clear and precise guideline for policy priorities. Nevertheless, some choices that are guided by cost–benefit analysis may strike us as paradoxical or counterintuitive. A paradox of rationality refers to any situation in which conflicting choices can both be defended as rational. This paper discusses a number of choices that may seem paradoxical. The first involves the choice between options that have identical impacts on safety, but in which these impacts are valued differently. The second deals with the tendency for preference reversals to occur when preferences for the provision of safety are aggregated. The third discusses the inability of conventional measures of willingness-to-pay to reflect the intensity of preferences. The fourth concerns the tendency for policy choice to favour the rich at the expense of the poor when willingness-to-pay is not adjusted for the marginal utility of money. A fifth situation refers to the fact that a policy option that looks attractive ex ante may fail an ex post compensation test because utility functions depend on health state. There is a potential conflict between individual and collective rationality with respect to the costs and benefits of some road safety measures. When developing a road safety programme, a set of road safety measures whose benefits exceed the costs when considered as stand-alone measures could have benefits smaller than cost when combined in a programme consisting of all the measures. Finally, there is a potential conflict between efficiency and negotiated consensus as mechanisms of resource allocation in the public sector. The sources of the paradoxes and ways of avoiding them are discussed. Some of the paradoxes can be avoided if changes in risk are valued in terms of a fixed price per unit of risk rather than according to a non-linear demand function.     

Consistency in preferences for road safety: An analysis of precautionary and stated behavior

This study analyzes stated willingness to pay (WTP) for traffic safety, the use of traffic safety equipments, and the consistency between the two. Using data from a Swedish contingent valuation study we find that the estimated value of a statistical life (VSL) based on the respondents' rear-seatbelt usage is similar to the estimate found using the respondents' stated WTP. However, when estimating VSL based on the respondents' use of bicycle helmets we find a significantly higher VSL; the VSL from bicycle-helmet usage is 7 times higher than the estimate based on seatbelt usage. Moreover, we do not find any strong relationship between risk perception and usage, or individual stated WTP and usage. Hence, the main conclusion, based on our analysis, is that stated and observed WTP are not consistent.     

The development of road and rail transport safety valuation in the United Kingdom

An extensive body of theoretical and empirical work has been undertaken in the UK since the middle of the last century on the estimation of values of safety for use in the appraisal of proposed transport projects, particularly road and rail. This research has focused largely on ‘willingness-to-pay’ based values in order to measure the strength of the travelling public's preference for marginal improvements in transport safety, relative to consumption of other goods and services. In terms of practical policy making, the research has resulted in a set of values for the prevention of statistical fatalities and non-fatal injuries that are applied not only in transport safety decision making, but also in other public sector contexts. This paper summarises the main findings of this research.     

From theory to practice in road safety policy: Understanding risk versus mobility

This paper reviews theoretical issues surrounding transport safety modeling and the implications for road safety policy. The behavioral mechanisms that affect transport safety are typically not considered in safety modeling. These issues are discussed in the context of trade-offs between risk-taking, as perceived by travelers, and other mobility objectives and the attributes associated with them. This is an extension of other theoretical frameworks, such as risk compensation, and attempts to integrate some of the previous frameworks developed over the years. Various examples of behavioral adaptation to specific policies are discussed and linked to the framework. These issues are then discussed in the context of improvements to empirical work in this area and the linkage of theoretical frameworks to crash modeling, in particular the estimation and use of Crash Modification Factors. Conclusions suggest that there are many deficiencies in practice, from estimation of models to choice of effective policies. Progress is being made on the former, while the publication of practical guidance seems to have substantial lags in knowledge.     

Valuing casualty risk reductions from estimated baseline risk

Stated choice studies have been applied regularly to the valuation of time savings and other attributes of travelling as perceived by individuals. In such experiments, respondents often provide reference levels for the attributes and the hypothetical choices presented to them are pivoted around actual behaviour. However, most individuals are not able to provide reference levels for the number of casualties on the road they travel. Thus, if valuation of this important element is attempted, it is the researcher who must provide casualty risk reference levels to the respondents. Some studies have applied route choice experiments including a safety attribute but the majority has been limited to only one particular road section with a common baseline risk for all respondents.     

基于IDM的需求扰动供应链协调契约研究

针对具有需求扰动风险的供应链协调问题,基于利益驱动机制,设计出一种新的保险契约模式,建立相应的供应链模型并求解分析。结果表明：均匀分布市场需求下赔偿上限应足够大,且契约参数满足相关条件时供应链可以达到完美协调。最后通过数值分析了赔偿参数对订货量和保费的影响。     

脉动风压下局部动力效应研究

探讨了随机脉动风压作用下,结构的局部动力效应问题,通过实例计算证明了局部动力效应影响不可忽略,这为正确分析脉动风压下结构的动力响应,准确、可靠地指导工程设计提供了理论依据.     

造船企业运用供需链目标成本管理的探索

针对我国目前造船企业目标成本管理中存在的问题,提出将目标成本管理拓展到整个造船供需链,运用基于供需链的目标成本管理来解决我国造船成本不断上升的问题,给出了造船供需链目标成本管理的实施方案.     

在随机载荷作用下用断裂力学法估算潜艇耐压壳体的疲劳寿命和裂纹尺寸

潜艇在上浮下潜的过程中承受着反复作用的由外部水压力所产生的随机载荷,耐压壳体面临着疲劳破坏。本文引入了潜艇的疲劳载荷谱,模拟了潜艇随机载荷历程,并对一次载荷历程估算了疲劳寿命;同时模拟了100次载荷历程,分别对疲劳寿命和裂纹尺寸进行了统计,结果表明裂纹的疲劳寿命符合威布尔分布,裂纹扩展尺寸服从对数正态分布。该结论与目前疲劳可靠性分析中使用的对数正态分布模型和威布尔分布模型相一致。     

Global logistics city concept: a cluster-led strategy under the belt and road initiative

This paper develops a cluster-led strategic policy framework to assess the strategic positioning of key global logistics cities in Asia, most of which are affected by the ‘Belt and Road (B&R) Initiative.’ One of the key challenges that the B&R Initiative is facing is underdeveloped logistics infrastructure in Asia, not to mention road congestion, dilapidated infrastructure, incessant supply chain disruptions, and capacity constraint, which imposes significant economic costs.

Global logistics cities are evaluated on logistics infrastructure capacity and service responsiveness. This involves selecting the key global logistics cities, identifying key indicators, standardising and indexing, mapping dimensions of global logistics cities, and developing the cluster-led strategic policy framework.

The results indicate the prevalence of a multi-tier system wherein Shanghai and Hong Kong have attained the maturity of a global logistics city, whilst Manila, Jakarta, and Bangalore are making slow but steady progress in that direction. In contrast, Dhaka, Phnom Penh, and Ho Chi Minh City are showing potential but require further enhancement through significant investment in infrastructure and service delivery improvement.

The cluster-led strategic policy framework formulates actions and strategies through which emergent logistics networks can be strategically aligned and functionally integrated with B&R-oriented global trading hubs and transport corridors..