The bicycle-train travellers in the Netherlands: personal profiles and travel choices

Transportation - The Netherlands seems to exhibit the unique conditions that allow cycling on the country level instead of only the city level. Moreover, the national transit system seemingly...     

Inshore Stocks of Atlantic Cod Are Important for Rebuilding the East Coast Fishery

Cod (Gadus morhua) inhabit not only the famous fishing banks of the Northwest Atlantic continental shelf, but also inshore waters from Labrador to New England. Relatively little is known about the life history of inshore cod, their historic levels of abundance, and their relationship to offshore stocks. Inshore cod stocks along the East Coast should be managed under a new paradigm that recognizes the importance of these fish to the stock complex. Recently documented fishers' ecological knowledge (FEK) suggests inshore stocks of cod may exist along the Newfoundland and Labrador coastline that have yet to be scientifically documented. Coastal communities adjacent to the local population of cod in Gilbert Bay, Labrador have initiated efforts to protect and manage this stock locally through a co-management approach. The Gilbert Bay experience, FEK, and related science and education could provide insight into ways to protect and enhance the health of local stocks remaining along the northeast coast of North America.     

Subsidized vehicle acquisition and earned income in the transition from welfare to work

Availability and affordability of reliable transportation – either through public transportation or individual ownership of automobiles – appears necessary to support a successful transition from welfare to work. One approach adopted by state and local governments is to subsidize vehicle acquisition by welfare recipients in transition. To date there are no empirical studies that analyze the impacts or effectiveness of these vehicle subsidy programs. The objective of this study is to examine the extent to which participation in a small-scale vehicle donation-and-sales program in Vermont increases earned income by individuals in transition from welfare to work. Using reduced-form random effects and censored regression models to account for the simultaneity of decisions to work and participate in welfare programs, we examine the impacts of this vehicle acquisition program for a small group of individuals. Our analyses indicate that the program results in a statistically significant increase in both earned income and the probability of employment.     

Fisheries–Marine Protected Area–Tourism Interactions in Moalboal,Cebu, Philippines

The development of Integrated Coastal Management (ICM) in the Philippines has been underway for more than 30 years. As coastal communities continue to face dwindling resources from both the land and sea, marine protected areas (MPAs) have been regularly utilized as a community-based marine conservation tool. Recently, marine tourism has begun to exert influence as a driver utilized by local communities to promote the establishment of MPAs. Revenue generated through user-fee systems has begun to influence and shape broker–local–tourist (BLT) interactions in Moalboal, Cebu, Philippines. In this article, an account of the social dynamics surrounding MPAs is presented, sources of tension are identified, and recommendations proposed.     

Assessing the Impacts of Gender Integration in Ghana’s Fisheries Sector

Abstract

This article presents the results of an impact assessment of a component of a large scale USAID sustainable fisheries management project initiative aimed at integrating gender and strengthening the role of women in fisheries management in Ghana. The assessment is based on a literature review and qualitative field data collection. It assessed gender integration from three entry points: improving the Ghanaian policy environment for gender in fisheries, empowering women post-harvest processors, and engaging women gleaners in fisheries co-management. The assessment found that an important milestone was the adoption and implementation of the Ghanaian Fisheries Sector’s National Gender Mainstreaming Strategy in 2016. Summarizing the impacts on local post-harvest processors and gleaners, the assessment found that female post-harvest processors have increased capacity, confidence, and engagement in fisheries management. Gender mainstreaming efforts have succeeded in challenging cultural norms about women’s role in fisheries. Women have been exposed to sustainable fisheries management and are better equipped with the knowledge and leadership skills to advocate for good fisheries practices, which they actively demonstrate.     

探源，探本心 西藏阿尼玛卿山朝圣之旅

在“一汽马自达CX-4秘境探索青海站”六天五晚的行程中,我从西宁出发一路向西到达扎陵湖、鄂陵湖,并追溯黄河源头。这不仅仅是一场本源探索之旅,于我更是一场心灵净化之旅。     

Multi-agent model predictive control of signaling split in urban traffic networks

The operation of large dynamic systems such as urban traffic networks remains a challenge in control engineering to a great extent due to their sheer size, intrinsic complexity, and nonlinear behavior. Recently, control engineers have looked for unconventional means for modeling and control of complex dynamic systems, in particular the technology of multi-agent systems whose appeal stems from their composite nature, flexibility, and scalability. This paper contributes to this evolving technology by proposing a framework for multi-agent control of linear dynamic systems, which decomposes a centralized model predictive control problem into a network of coupled, but small sub-problems that are solved by the distributed agents. Theoretical results ensure convergence of the distributed iterations to a globally optimal solution. The framework is applied to the signaling split control of traffic networks. Experiments conducted with simulation software indicate that the multi-agent framework attains performance comparable to conventional control. The main advantages of the multi-agent framework are its graceful extension and localized reconfiguration, which require adjustments only in the control strategies of the agents in the vicinity.     

Crowdsourced data for bicycling research and practice

ABSTRACT

Cities are promoting bicycling for transportation as an antidote to increased traffic congestion, obesity and related health issues, and air pollution. However, both research and practice have been stalled by lack of data on bicycling volumes, safety, infrastructure, and public attitudes. New technologies such as GPS-enabled smartphones, crowdsourcing tools, and social media are changing the potential sources for bicycling data. However, many of the developments are coming from data science and it can be difficult evaluate the strengths and limitations of crowdsourced data. In this narrative review we provide an overview and critique of crowdsourced data that are being used to fill gaps and advance bicycling behaviour and safety knowledge. We assess crowdsourced data used to map ridership (fitness, bike share, and GPS/accelerometer data), assess safety (web-map tools), map infrastructure (OpenStreetMap), and track attitudes (social media). For each category of data, we discuss the challenges and opportunities they offer for researchers and practitioners. Fitness app data can be used to model spatial variation in bicycling ridership volumes, and GPS/accelerometer data offer new potential to characterise route choice and origin-destination of bicycling trips; however, working with these data requires a high level of training in data science. New sources of safety and near miss data can be used to address underreporting and increase predictive capacity but require grassroots promotion and are often best used when combined with official reports. Crowdsourced bicycling infrastructure data can be timely and facilitate comparisons across multiple cities; however, such data must be assessed for consistency in route type labels. Using social media, it is possible to track reactions to bicycle policy and infrastructure changes, yet linking attitudes expressed on social media platforms with broader populations is a challenge. New data present opportunities for improving our understanding of bicycling and supporting decision making towards transportation options that are healthy and safe for all. However, there are challenges, such as who has data access and how data crowdsourced tools are funded, protection of individual privacy, representativeness of data and impact of biased data on equity in decision making, and stakeholder capacity to use data given the requirement for advanced data science skills. If cities are to benefit from these new data, methodological developments and tools and training for end-users will need to track with the momentum of crowdsourced data.