Merging Socioeconomic Imperatives with Geospatial Data: A Non-Negotiable for Coastal Risk Management in South Africa

The current approach to coastal development set-back delineation in South Africa is producing high-tech empirical methodologies that attempt to pinpoint areas at risk from physical coastal processes and the subsequent positioning of set-backs in relation to these risk areas. Experience in the Western Cape province of South Africa has shown that this approach contributes only partially to coastal risk management. In the context of an urban and peri-urban environment, and bearing in mind that set-backs have significant socioeconomic implications, the development of a set-back line at the local scale requires an expansion beyond just relying on the numerical modeling of physical coastal processes. This research reveals that such an approach is parochial and socially detached and a more inclusive and integrated approach grounded in and spanning localized social, cultural, economic, political, and ecological intricacies of the coastal space is required. Fundamental to achieving this is a re-consideration of the broader project management processes applied in the development of set-backs. The article concludes with a set of principles and guidelines for determining set-backs in complex coastal contexts at the local scale.     

城市更新水系统规划要点探讨

随着“十四五”期间城市更新规划的编制实施,结合城市功能完善,城市水系统如何进行有机更新和同步提标改造,已成为今后城市建设的重要任务之一。从宏观、中观、微观三个层面,提出城市水系统更新规划要点,可为相关专业人员提供参考。     

尾水人工湿地中水生植物的应用研究进展

人工湿地因环境效益显著、经济效益好、应用范围广等特点,近年来在污水处理中得到广泛应用。植物作为生态系统的生产者,是湿地系统最为核心的要素。基于国内外人工湿地植物的研究和应用情况,阐述了植物在尾水人工湿地中的应用情况、影响植物净化能力的因素,以及湿地植物应用中存在的问题等,并对尾水人工湿地植物的研究和应用做出了展望。在参考大量文献基础上对湿地植物选择的原则方法、影响因素及主要问题进行了系统性的总结,为实际工程应用提供依据和参考。     

Helping Communities Adapt and Plan for Coastal Hazards: Coastal Zone Management Program Recommendations for National Tool Developers

Adapting to changing coastlines is an unprecedented planning challenge as coastal hazards, including those associated with climate change, influence all areas of resource management. Tools have been developed to aid in understanding coastal hazards and to facilitate the planning and implementation of adaptation strategies. Through interviews with members of eight geographically distributed state Coastal Zone Management (CZM) Programs and several federal and nonprofit partners, we explored the utility of current tools for on-the-ground adaptation planning and implementation needs. State CZM Programs operate as trusted information brokers at the nexus between national resources and local needs. Here we provide seven recommendations for how to overcome the challenges identified with tool discovery, lack of trust, and the coarse spatial resolution of national tools. Our findings suggest local community needs are better addressed when end-users play a role in the tool development process. We also recommend leveraging CZM Program connections because they have the knowledge and expertise to identify solutions and disseminate information. While the recommendations presented here were taken from the perspective of state CZM Programs regarding coastal tools, the lessons learned may provide valuable insight into the tool development process for other resource management fields.     

工期及最优目标

以光缆敷设为例 ,分析阻工现象对工程进度的影响 ,建立有约束条件的最短工期优化模式 ,搜索最优目标。     

Traveler delay costs and value of time with trip chains, flexible activity scheduling and information

The delay costs of traffic disruptions and congestion and the value of travel time reliability are typically evaluated using single trip scheduling models, which treat the trip in isolation of previous and subsequent trips and activities. In practice, however, when activity scheduling to some extent is flexible, the impact of delay on one trip will depend on the actual and predicted travel time on itself as well as other trips, which is important to consider for long-lasting disturbances and when assessing the value of travel information. In this paper we extend the single trip approach into a two trips chain and activity scheduling model. Preferences are represented as marginal activity utility functions that take scheduling flexibility into account. We analytically derive trip timing optimality conditions, the value of travel time and schedule adjustments in response to travel time increases. We show how the single trip models are special cases of the present model and can be generalized to a setting with trip chains and flexible scheduling. We investigate numerically how the delay cost depends on the delay duration and its distribution on different trips during the day, the accuracy of delay prediction and travel information, and the scheduling flexibility of work hours. The extension of the model framework to more complex schedules is discussed.     

The socio-cognitive links between road pricing acceptability and changes in travel-behavior

The objective of this study is to examine the effect of road pricing on people’s tendency to adapt their current travel behavior. To this end, the relationship between changes in activity-travel behavior on the one hand and public acceptability and its most important determinants on the other are investigated by means of a stated adaptation experiment. Using a two-stage hierarchical model, it was found that behavioral changes themselves are not dependent on the perceived acceptability of road pricing itself, and that only a small amount of the variability in the behavioral changes were explained by socio-cognitive factors. The lesson for policy makers is that road pricing charges must surpass a minimum threshold in order to entice changes in activity-travel behavior and that the benefits of road pricing should be clearly communicated, taking into account the needs and abilities of different types of travelers. Secondly, earlier findings concerning the acceptability of push measures were validated, supporting transferability of results. In line with other studies, effectiveness, fairness and personal norm all had a significant direct impact on perceived acceptability. Finally, the relevance of using latent factors rather than aggregate indicators was underlined.     

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.     

Spatial pattern of the global shipping network and its hub-and-spoke system

Port system is a research focus of transport geography, and most studies believe carriers are important factors in the development and concentration of the port system. Since the 1990s, carriers have played an important role in organizing the global shipping network and reorganizing the port system. But there isn’t a perfect method to evaluate carriers’ influence and the roles of each port in the maritime shipping networks. In this paper, we use the monthly schedule table of international carriers to describe and model the spatial pattern of the global shipping network and identify its hub-and-spoke system. The result shows that a hierarchical structure exists in the global shipping network. The North Hemisphere, especially the East Asia and the Southeast Asia, is a dominant region of the worldwide shipping network. East Asia, Southeast Asia, Northeast Europe, and East coast of the USA are the concentration regions of worldwide shipping lines. The ports of Hong Kong, Singapore, Shenzhen, Shanghai, and Kaohsiung etc have advanced capacity for maritime shipping and high potentials for being hub ports in the global shipping network. Today, the worldwide shipping network is transforming from the multi-port calling system to 44 regional hub-and-spoke systems. Meanwhile, the sub-networks with hub ports of Antwerp, Singapore, and Hong Kong have become the most important ones and dominate the whole global shipping network.     

基于等效光幕亮度理论的隧道入口段亮度计算方法

为了获得更加合理的隧道入口段亮度设计值,首先分析了隧道入口段亮度的确定方法,指出了Adrian和Augdal提出的等效光幕亮度计算方法中,都因为忽略了某些计算项而造成得到的极坐标圆环边界视角存在一定的误差;为解决该问题,提出采用数值积分的方法确定各圆环边界的对应视角,并给出了计算得到的各圆环边界视角值和由此得到的等效光...