Resource Systems Group

White River Junction, VT, United States

Resource Systems Group

White River Junction, VT, United States

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Newman P.,Colorado State University | Lawson S.,Resource Systems Group | Fristrup K.,National Park Service | Schomer P.,Schomer and Associates Inc
39th International Congress on Noise Control Engineering 2010, INTER-NOISE 2010 | Year: 2010

Research has shown visitors to national parks can potentially impact park resources by trampling fragile vegetation, compacting and eroding soils, polluting water and disturbing wildlife. Acoustical impacts are also prevalent in national parks. The transportation systems that bring visitors to parks, visitor activities in parks, maintenance and infrastructure to support park visitation all project noise into park environments. Natural sounds and quiet backgrounds for hearing them are increasingly scarce resources. This paper will report on a program of research to address relationships between visitor access to parks and noise.


HubStor Inc., the market’s first data-aware hybrid cloud storage solution, today announced that Human Resource Systems Group (HRSG), a world leader in the field of competency-based talent management, has selected HubStor to preserve and manage mission-critical data assets with Microsoft Azure. Using HubStor’s seamless ghosting of select data assets based on policies that HRSG defines in HubStor’s virtual cloud gateway software, HRSG will free up capacity in their Storage Area Network (SAN) while protecting 27 years worth of unstructured data in Azure. HubStor’s invisible cloud integration works without disrupting users or applications and will enable HRSG to defer spending on new storage while significantly minimizing the amount of data being backed up. With most of the inactive data ghosted in their SAN, HRSG will also be improving recovery time objectives. Running in one of Microsoft’s Canadian Azure regions, which became generally available in 2016, HRSG sees 80% storage reduction from HubStor’s deduplication and compression. Data is stored using the cost-efficient ‘Cool storage’ tier and encryption-at-rest with Azure Storage Service Encryption (SSE), providing the gold standard of data security. “One of the reasons HRSG chose HubStor was the peace of mind that our critical corporate and customer data was safely replicated within Canada,” said Paul Skinner, Chief of Technical Services, HRSG. “These improvements allow us to focus on our core business with confidence that HubStor and its staff are fully engaged in providing not only a service, but a true partner focused exclusively on the persistence of our data. Even as a new client, we’ve seen new features in HubStor resulting from our suggestions. Rarely have we seen a vendor so responsive.” In the cloud, HubStor software wraps HRSG’s content with its near-real-time policy engine and advanced data governance controls, including data classification and data loss prevention which are important compliance and data governance features for HRSG. Mr. Skinner plans to also leverage HubStor for storage, retention, and recovery of HRSG’s mission-critical database backups. HubStor provides data-aware hybrid cloud storage for businesses needing to protect, manage, search, and recover unstructured data in a highly secure manner using public cloud infrastructure. Headquartered in Canada and currently serving clients in the United States, Europe, and Canada, HubStor is the world’s first and only data-aware cloud storage solution. Delivered exclusively on Microsoft Azure, HubStor is a Microsoft partner and a member of the Microsoft Enterprise Cloud Alliance.


Hess S.,University of Leeds | Fowler M.,Resource Systems Group | Adler T.,Resource Systems Group | Bahreinian A.,California Energy Commission
Transportation | Year: 2012

In the face of growing concerns about greenhouse gas emissions, there is increasing interest in forecasting the likely demand for alternative fuel vehicles. This paper presents an analysis carried out on stated preference survey data on California consumer responses to a joint vehicle type choice and fuel type choice experiment. Our study recognises the fact that this choice process potentially involves high correlations that an analyst may not be able to adequately represent in the modelled utility components. We further hypothesise that a cross-nested logit structure can capture more of the correlation patterns than the standard nested logit model structure in such a multi-dimensional choice process. Our empirical analysis and a brief forecasting exercise produce evidence to support these assertions. The implications of these findings extend beyond the context of the demand for alternative fuel vehicles to the analysis of multi-dimensional choice processes in general. Finally, an extension verifies that further gains can be made by using mixed GEV structures, allowing for random heterogeneity in addition to the flexible correlation structures. © 2011 Springer Science+Business Media, LLC.


Outwater M.,Resource Systems Group | Adler T.,Resource Systems Group | Dumont J.,Resource Systems Group | Kitchen M.,Puget Sound Regional Council | Bassok A.,Puget Sound Regional Council
Transportation Research Record | Year: 2012

Transportation projects in major metropolitan regions can vary widely in the types of benefits that they provide and in the scales of those benefits. Travel forecasting models and related procedures can provide reasonable estimates of those benefits, and many benefits can be distilled into equivalent monetary benefits by the use of consumer surplus or other valuation approaches. In theory, those methods could also be used to prioritize projects for funding consideration. However, an approach that simply chooses projects that provide the greatest net economic benefits may not result in a mix of projects that most effectively accomplishes broad regional goals. This paper describes an approach to project prioritization that was developed to support stakeholder-based weighting of multiple goals and, for each goal, multiple measures. The approach uses the analytic hierarchy approach to develop weights for each goal and a conjoint-based method to estimate stakeholder weights for each measure. The approach was applied as part of Washington State's Puget Sound Regional Council's Transportation 2040 process and achieved the goals in VISION 2040, the long-range land use plan. Weighting exercises were conducted with two stakeholder groups, and the results were applied to a set of proposed ferry, rail, highway, and local road projects. This paper describes the details of this case study and provides observations and conclusions from the work. The principal findings of the experiments were that statistically robust modeling conducted in real time during planning committee meetings can improve the transparency, equity, and collaboration of the project prioritization process.


Outwater M.,Resource Systems Group | Smith C.,Resource Systems Group | Wies K.,Chicago Metropolitan Agency for Planning | Yoder S.,U.S. Federal Highway Administration | And 2 more authors.
Transportation Letters | Year: 2013

Despite recent advances in freight and commercial vehicle modeling, the current state of the practice methods are not adequate to address the increasingly complex issues related to freight demand. This project includes research that has combined tour based truck models and logistics supply chain models for urban commercial vehicle movements and that has demonstrated a functional model framework that addresses the limitations of current freight demand forecasting models. The research was performed by Resource Systems Group Inc., in partnership with the Chicago Metropolitan Agency for Planning and the University of Illinois at Chicago. The project introduced a model framework and focused on the estimation of each of the model components, described the approach to linking the models together in the model application, and presented initial results from applying the model in the Chicago region. The models were estimated for demonstration purposes from several sources, since there were no datasets that could support all aspects of the new framework. To make the demonstration more practical, two commodities were chosen to model from the data available (food products and manufactured products). The models developed for the project were applied using software developed in R, an open source platform. A data collection program to support the estimation, calibration, and forecasting of the framework for future use was recommended. Further efforts to improve this framework with new data, model improvements, and forecasts would be welcome. © 2013 W. S. Maney & Son Ltd.


Outwater M.L.,Resource Systems Group | Spitz G.,Resource Systems Group | Lobb J.,Resource Systems Group | Campbell M.,Resource Systems Group | And 3 more authors.
Transportation | Year: 2011

This research seeks to improve the understanding of the full range of determinants for mode choice behavior and to offer practical solutions to practitioners on representing and distinguishing these characteristics in travel demand forecasting models. The principal findings were that the representation of awareness of transit services is significantly different than the underlying assumption of mode choice and forecasting models that there is perfect awareness and consideration of all modes. Furthermore, inclusion of non-traditional transit attributes and attitudes can improve mode choice models and reduce bias constants. Additional methods and analyses are necessary to bring these results into practice. The work is being conducted in two phases. This paper documents the results of Phase I, which included data collection for one case study city (Salt Lake City), research and analysis of non-traditional transit attributes in mode choice models, awareness of transit services, and recommendations for bringing these analyses into practice. Phase II will include data collection for two additional case study cities (Chicago and Charlotte) with minor modifications based on limitations identified in Phase I, additional analyses where Phase I results indicated a need, and a demonstration of the research in practice for at least one case study city. © 2011 Springer Science+Business Media, LLC.


Duncan E.C.D.,Resource Systems Group | Kaliski K.,Resource Systems Group
24th National Conference on Noise Control Engineering 2010, Noise-Con 10, Held Jointly with the 159th Meeting of the Acoustical Society of America | Year: 2010

It is often the case in the permitting and operation of gravel extraction and crushed stone quarries that aggregate companies and the local community are pitted against one another. This paper presents a case study of an existing gravel pit that came together with the community to work through concerns about the existing operations and a proposed expansion. The topics of discussion include: the interesting dynamics involved in the consulting process, resulting mitigation to meet local standards and community concerns, conflicts of interests, and the local permitting process. The cooperative process used is presented in contrast to traditional permitting systems using case studies of projects that have undergone permitting using more adversarial process models.


Duncan E.,Resource Systems Group
41st International Congress and Exposition on Noise Control Engineering 2012, INTER-NOISE 2012 | Year: 2012

As the world population continues to grow exponentially, metropolitan areas are expanding and rural areas are becoming increasingly developed. Concerns over the resource use this scenario envisions has led to the recent birth of a movement to assure sustainability in all facets of development. How could a sustainable soundscape be achieved through noise pollution policy without being detrimental to other areas of the sustainability movement such as the containment of sprawl? This paper explores key issues with traditional noise pollution policy where it seems to be incongruent with sustainable land use planning practices. Specific examples are given with a case study of how some noise policy may encourage sprawl, a discussion of how it can be difficult to control noise in dense, mixed use developments, and suggestions of how future noise pollution control practices and policy might be developed to accommodate sustainable land use practices. Issues with absolute, relative, and zonal standards will be discussed in addition to a call for better noise emission regulations.


Duncan E.,Resource Systems Group
41st International Congress and Exposition on Noise Control Engineering 2012, INTER-NOISE 2012 | Year: 2012

Noise pollution and its effects on humans is well studied and moderately regulated in the United States. There is also a body of research on noise impacts on wildlife, although this information is not widely dispersed or understood by the general public. In addition to the lack of dissemination of this information, state governments do not typically account for what is known about wildlife impacts when developing noise policy or wildlife law. The federal government has considered noise impacts on wildlife on occasion, but with wildlife being held in the public trust of the individual states and regulated primarily at the state level, it is important for states to take up this practice as well. This paper provides a brief review of some ways in which noise can impact wildlife, a review of how noise impacts on wildlife have been addressed in various legal settings in New England, and a discussion of what the future may hold for wildlife and noise impacts.


Carpenter C.,Resource Systems Group | Fowler M.,Resource Systems Group | Adler T.,Resource Systems Group
Transportation Research Record | Year: 2012

Bluetooth media access control (MAC) data collection technology has emerged as a forerunner in the suite of passive data collection techniques used in travel time and origin-destination (O-D) data collection efforts because of its low cost, ease of implementation, and richness of the resultant data set. With a few notable exceptions, the majority of published research and practical applications of Bluetooth MAC data to date have focused on travel speed analysis. This paper aims to add to the existing literature on Bluetooth O-D data research by describing an analytic approach used to develop route-specific O-D tables for a 15-mi corridor in Jacksonville, Florida. The data from this project were successfully used as an after-model validation tool for base and future year toll revenue forecasts. Bluetooth MAC data were shown to provide a robust and rich data set capable of providing insight into the travel patterns of users in a corridor that would not be easily or efficiently achieved with other data collection methods. The paper also seeks to provide practical guidance and insight into successfully deploying and analyzing Bluetooth MAC data.

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