A case study of PavMD a new tool to identify good performing pavements in New Zealand

Author(s):  
Jacobus Daniel van der Walt ◽  
Eric Scheepbouwer ◽  
Bryan Pidwerbesky ◽  
Brian Guo ◽  
Max Ferguson ◽  
...  

With the advancement of digital technology, the collection of pavement performance data has become commonplace. The improvement of tools to extract useful information from pavement databases has become a priority to justify expenditures. This paper presents a case study of PaveMD, a tool that integrates multi-dimensional data structures with a data-driven fuzzy approach to identify good performing pavement sections. Combining this tool with an innovative paradigm where the focus is on repeating success can bring additional value to existing pavement databases. The case study shows that PaveMD can identify pavement sections that are performing well by comparing performance measures for the New Zealand context. In this paper, PaveMD's development is described, and its implementation is showcased using data from the New Zealand Long-Term Pavement Performance (LTPP) database. It is recommended that this approach be further developed and extended to other infrastructure databases internationally.

2020 ◽  
Vol 17 (162) ◽  
pp. 20190526
Author(s):  
Tessa Barrett-Walker ◽  
Michael J. Plank ◽  
Rachael Ka'ai-Mahuta ◽  
Daniel Hikuroa ◽  
Alex James

More than a third of the world's languages are currently classified as endangered and more than half are expected to go extinct by 2100. Strategies aimed at revitalizing endangered languages have been implemented in numerous countries, with varying degrees of success. Here, we develop a new model regarding language transmission by dividing the population into defined proficiency categories and dynamically quantifying transition rates between categories. The model can predict changes in proficiency levels over time and, ultimately, whether a given endangered language is on a long-term trajectory towards extinction or recovery. We calibrate the model using data from Wales and show that the model predicts that the Welsh language will thrive in the long term. We then apply the model to te reo Māori, the indigenous language of New Zealand, as a case study. Initial conditions for this model are estimated using New Zealand census data. We modify the model to describe a country, such as New Zealand, where the endangered language is associated with a particular subpopulation representing the indigenous people. We conclude that, with current learning rates, te reo Māori is on a pathway towards extinction, but identify strategies that could help restore it to an upward trajectory.


2019 ◽  
Author(s):  
Tessa Barrett-Walker ◽  
Michael J. Plank ◽  
Rachael Ka’ai-Mahuta ◽  
Daniel Hikuroa ◽  
Alex James

AbstractMore than a third of the world’s languages are currently classified as endangered and more than half are expected to go extinct by 2100. Strategies aimed at revitalising endangered languages have been implemented in numerous countries, with varying degrees of success. Here, we develop a new model regarding language transmission by dividing the population into defined proficiency categories and dynamically quantifying transition rates between categories. The model can predict changes in proficiency levels over time and, ultimately, whether a given endangered language is on a long-term trajectory towards extinction or recovery. We calibrate the model using data from Wales and show that the model predicts that the Welsh language will thrive in the long term. We then apply the model to te reo Māori, the Indigenous language of New Zealand, as a case study. Initial conditions for this model are estimated using New Zealand census data. We modify the model to describe a country, such as New Zealand, where the endangered language is associated with a particular subpopulation representing the Indigenous People. We conclude that, with current learning rates, te reo Māori is on a pathway towards extinction, but identify strategies that could help restore it to an upward trajectory.


2010 ◽  
Vol 16 (2) ◽  
pp. 76 ◽  
Author(s):  
Joanne M. Hoare ◽  
Colin F. J. O’Donnell ◽  
Elaine F. Wright

Indicator species approaches are widely used in conservation as a shortcut to measuring attributes of species and ecosystems. A variety of indicator species concepts are in use and are applicable to a range of situations. Indicator species are increasingly being used in environmental reporting to evaluate trends in environmental attributes quantitatively. We use the most recent State of the Environment report from New Zealand as a case study to evaluate: (1) how indicator species concepts are being applied to environmental reporting and (2) the selection of individual species as indicators. At present indicator species used in environmental reporting in New Zealand reflect biases in national monitoring data towards forest-dwelling, terrestrial vertebrates that are vulnerable to predation by introduced mammals. Scientific literature generally supports links between selected taxa and the aspect of ecosystem health they are purported to indicate, but their roles as long-term indicators of environmental health have yet to be evaluated. A primary goal of State of the Environment reporting is to set a benchmark against which environmental outcomes can be monitored over time; thus it is recognized that taxa reported should represent a broader range of environmental attributes. However, selection of taxa for environmental reporting is severely constrained by limited national species monitoring data. A strategic approach to national measurement, storage and analysis of long-term monitoring data is required to support selection of representative species for environmental reporting. We support current initiatives to select taxa for future measurement and reporting in an objective, transparent manner and recommend that they encompass representation of: (1) taxonomic diversity, (2) ecosystem types, (3) key environmental pressures and (4) threat status.


1985 ◽  
Vol 29 (5) ◽  
pp. 485-488
Author(s):  
Susan C. Hoffman

undergraduate university curriculums in computer technology are structured to provide students with a maximum exposure to programming languages, data structures, and elements of system design. Current textbooks fail to provide adequate discussions and examples of programs which demonstrate good human factors. The purpose of this study was to determine if concepts and techniques for designing human computer interfaces can be integrated within the existing courses in the undergraduate curriculum in computer technology. A class in applications programming using Pascal was given a long-term assignment to design an interactive program for an untrained user. This assignment was then repeated following exposure to human factors guidelines. The class showed significant improvements in the design of the user interface.


2018 ◽  
Vol 96 ◽  
pp. 34-46 ◽  
Author(s):  
Victor Rueda-Ayala ◽  
Hella Ellen Ahrends ◽  
Stefan Siebert ◽  
Thomas Gaiser ◽  
Hubert Hüging ◽  
...  

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