Heuristic estimation of container stacking and reshuffling operations under the containership delay factor and mega-ship challenge

This paper addresses a highly researched area, the reshuffling problem in ports, using a new paradigm-modified containership service order in light of credit risk assessment. Container stacking and reshuffling operations can cause ship delays and additional risk. In deep-sea terminals, outbound containers are tightly stacked according to the retrieval sequence. Due to lack of space, terminals stack containers in multiple tiers. This means any delay in the arrival of a ship can impose extra handlings and reshuffling of containers delaying future cargo handling. This paper addresses the reshuffling problem with a concept similar to the credit scoring and rating of creditworthiness used in the banking industry. By utilizing this comparison to the banking credit risk concept, a heuristic estimation model is proposed that illustrates the side effects of unscheduled modifications in containership service order. Further, the mega-ship trend amplifies the reshuffling debate. Probability of delay, reshuffles given delay, and call size at delay are introduced as the three-point risk metrics of the model. Numerical simulations illustrate the functionality to develop terminal stacking strategies as well as emphasize the mega-ship phenomenon and its side effects on terminals (i.e. yard operation deadlock).     

The influence of oceanographic scenarios on the population dynamics of demersal resources in the western Mediterranean: Hypothesis for hake and red shrimp off Balearic Islands

The aim of the present paper is to study the relationships between some climatic indices and parental stock, recruitment and accessibility to trawl fishery of hake (Merluccius merluccius) and red shrimp (Aristeus antennatus) off Balearic Islands (western Mediterranean). Available annual catch per unit effort, recruitment and spawning stock biomass have been used as biological data. As environmental data, the meso-scale IDEA index and the large-scale North Atlantic Oscillation (NAO) and Mediterranean Oscillation (MO) indices have been used. To analyze possible links between these indices with the population dynamics of demersal resources, two non-linear approaches have been applied: (i) stock–recruitment relationships from Ricker and Beverton–Holt models, by sequentially incorporating environment factors; (ii) generalized additive modelling, both classical general and threshold non-additive models were considered. The latter simulate an abrupt change in explicative variables across different phases (time periods or climatic index values). The results have shown that two oceanographic scenarios around the Balearic Islands, associated with macro and meso-scale climate regimes, can influence the population dynamics of hake and red shrimp. This is especially true for recruitment, which seems to be enhanced during low NAO and IDEA indices periods. During these periods, colder-than-normal winters generate high amounts of cold Western Mediterranean Intermediate Waters (WIW) in the Gulf of Lions, which flow southwards and reach the Balearic Islands channels in spring, increasing the productivity in the area. This oceanographic scenario could also be favourable to the distribution of hake on the fishing grounds where the trawl fleet targets this species, increasing its accessibility to the fishery. Both spawning stock and abundance of red shrimp seems to be also enhanced by high MO index periods, which could reflect the increased presence of the saline and warm Levantine Intermediate Waters (LIW) in the study area, extending over the fishing grounds of this species. The proposed interactions can be useful to assess and manage these important demersal resources.     

Values,attitudes and travel behavior: a hierarchical latent variable mixed logit model of travel mode choice

Values lie at the heart of an individual’s belief system, serving as prototypes from which attitudes and behaviors are subsequently manufactured. Attitudes and behaviors may evolve over time, but values represent a set of more enduring beliefs. This study examines the influence of values on travel mode choice behavior. It is argued that personal values influence individual attitudes towards different alternative attributes, which in turn impact modal choices. Using data from a sample of 519 German commuters drawn from a consumer panel, the study estimates an integrated choice and latent variable model of travel mode choice that allows for hierarchical relationships between the latent variables and flexible substitution patterns across the modal alternatives. Results from the empirical application support the value-attitude-behavior hierarchical model of cognition, and provide insights to planners and policy-makers on how better to sell public transit as a means of travel.     

Planning strategies for promoting environmentally suitable pedestrian pavements in cities

This paper examines the relevance of incorporating comprehensive life-cycle environmental data into the design and management of pedestrian pavements to minimize the impact on the built environment. The overall primary energy demand and global warming potential of concrete, asphalt and granite sidewalks are assessed. A design with a long functional lifetime reduces its overall primary energy demand and global warming potential due to lower maintenance and repair requirements. However, long-lived construction solutions do not ensure a lower life-cycle primary energy demand and global warming potential than for shorter-lived designs; these values depend on the environmental suitability of the materials chosen for paving. Asphalt sidewalks reduce long-term global warming potential under exposure conditions where the functional lifetime of the pavements is less than 15 years. In places where it is known that a concrete sidewalk can have a life of at least 40 years, a concrete sidewalk is the best for minimizing both long-term primary energy demand and global warming potential. Granite sidewalks are the largest energy consumers and greenhouse gas contributors.     

关于13-14世纪刺桐(泉州)的外文资料--对方济各会修士信函的初步看法

1997年,随着英国学者大卫·塞尔本根据中世纪一位意大利犹太商人安科纳的雅各之手稿翻译而成的<光明之城>的出版,其作品的真实性问题就成了重要的争论点.这主要是由于原始手稿除了塞尔本教授一人之外,其他任何人均无法接触到它.     

Gender Issues within the Population-Environment Nexus in Philippine Coastal Areas

Sixty percent of the Philippine's population resides in the coastal zone. Women and men in coastal communities depend chiefly on the sea for subsistence. Over fifty percent of the dietary protein requirements of coastal communities are derived from municipal fisheries and shallow coastal habitats (reef fishes, marine plants, and mangroves). Coastal populations are young and expanding at rates that exceed regional and national averages. Expanding human pressures and man-made disturbances (over harvesting, destructive fishing, siltation, etc.) that offset natural processes are destroying habitats and creating protein food security crises and increasing malnutrition. At the same time conflicts among users of coastal resources are escalating. Access constraints, gender inequities, and cultural barriers stymie options for women and men to plan their families and create alternative livelihoods. National and local government agencies are addressing food security concerns through vertical policies and programs (e.g., fisheries management, integrated coastal management). The IPOPCORM project uses a cross-sectoral approach and quasi-experimental evaluation design to test the hypothesis that food security will be achieved more quickly when coastal resources management (CRM) and reproductive health (RH) management are implemented together. The purpose of this article is to review the project's experience and highlight the trends observed in program monitoring and evaluation during 2001–2004, which suggest better impact on RH, CRM, and gender indicators in the sites where the synergistic approach is being applied.     

Oil and gas development in a coastal landscape: Visual preferences and management implications

Abstract

This study examines the relationships of four general landscape characteristics to viewer preference for a coastal landscape including oil and gas development. Landscape management possibilities that address these characteristics are apparent naturalness, compatibility of development with its setting, and ephemeral characteristics, including tidiness.

Forty residents of and visitors to a Louisiana Gulf Coast island were interviewed. They were asked to describe and rate the attractiveness of local views. Three hundred and ninety‐three views containing a total of 99 features were described. A content analysis determined which of the 99 features were present in each view. Then factor analysis was performed on the feature presence classifications to suggest viewtypes. The 26 factors, or viewtypes, resulting were related to view ratings in a regression analysis.

Results suggest that, while natural‐appearing coastal landscapes are attractive, some developed landscapes may also be attractive. Compatibility, nighttime viewing, and tidiness enhance the attractiveness of developed landscapes. Where these characteristics become part of the design and maintenance program for oil and gas facilities, viewer preference may increase.     

Nudging people towards more sustainable residential choice decisions: an intervention based on focalism and visualization

Transportation - There have been numerous behavior change studies focused on sustainable travel mode choices. In this study we focused on the residential choices that in turn influence travel...     

Latent temporal preferences: An application to airline travel

An essential element of demand modeling in the airline industry is the representation of time of day demand—the demand for a given itinerary as a function of its departure or arrival times. It is an important datum that drives successful scheduling and fleet decisions. There are two key components to this problem: the distribution of the time of day demand and how preferred travel time influences itinerary choice. This paper focuses on estimating the time of day distribution. Our objective is to estimate it in a manner that is not confounded with air travel supply; is a function of the characteristics of the traveler, the trip, and the market; and accounts for potential measurement errors in self-reported travel time preferences. We employ a stated preference dataset collected by intercepting people who were booking continental US trips via an internet booking service. Respondents reported preferred travel times as well as choices from a hypothetical set of itineraries. We parameterize the time of day distribution as a mixture of normal distributions (due to the strong peaking nature of travel time preferences) and allow the mixing function to vary by individual characteristics and trip attributes. We estimate the time of day distribution and the itinerary choice model jointly in a manner that accounts for measurement error in the self-reported travel time preferences. We find that the mixture of normal distributions fits the time of day distribution well and is behaviorally intuitive. The strongest covariates of travel time preferences are party size and time zone change. The methodology employed to treat self-reported travel time preferences as potentially having error contributes to the broader transportation time of day demand literature, which either assumes that the desired travel times are known with certainty or that they are unknown. We find that the error in self-reported travel time preferences is statistically significant and impacts the inferred time of day demand distribution.     

美国重载车轮

为满足ＡＡＲ重载运输的要求，ＡＢＣ公司通过计算机仿真优化设计，提高了车轮承载能力。本文介绍了优化设计的要点、参数和有限元分析结果，并对几种车轮进行评定和比较，确定了最佳方案。