Efforts to reduce the emissions from car travel have so far been hampered by a lack of specific information on car ownership and use. The Motoring and vehicle Ownership Trends in the UK (MOT) project seeks to address this by bringing together new sources of data to give a spatially and disaggregated diagnosis of car ownership and use in Great Britain and the associated energy demand and emissions.
Data from annual car M.O.T tests, made available by the Department for Transport, will be used as a platform upon which to develop and undertake a set of inter-linked modelling and analysis tasks using multiple sources of vehicle-specific and area-based data. Through this the project will develop the capability to understand spatial and temporal differences in car ownership and use, the determinants of those differences, and how levels may change over time and in response to various policy measures. The relationship between fuel use and emissions, and the demographic, economic, infrastructural and socio-cultural factors influencing these will also be tested.
Consequently, the MOT project has the potential to transform the way in which energy and emissions related to car use are quantified, understood and monitored to help refine future research and policy agendas and to inform transport and energy infrastructure planning.
www.its.leeds.ac.uk/research/featured-projects/mot
Highway crash data with average of 39 thousand fatalities and 2.4 million nonfatal injuries per year have repetitive and predictable patterns, and may benefit from statistical predictive
models to enhance highway safety and operation efforts to reduce crash fatalities/injuries. Highway crashes have patterns that repeat over fixed periods of time within the data set for
crashes such as motorcycle, bicycles, pedestrians, nighttime, fixed object, weekend, and winter crashes. In some States, these crashes are weekly, monthly, or seasonally. Contributing
factors such as: age category, light condition, weather, weekday, underlying state of the economy, and others impact these variations.
Highway crash data with average of 39 thousand fatalities and 2.4 million nonfatal injuries per year have repetitive and predictable patterns, and may benefit from statistical predictive models to enhance highway safety and operation efforts to reduce crash fatalities/injuries. Highway crashes have patterns that repeat over fixed periods of time within the data set for crashes such as motorcycle, bicycles, pedestrians, nighttime, fixed object, weekend, and winter crashes. In some States, these crashes are weekly, monthly, or seasonally. Contributing factors such as: age category, light condition, weather, weekday, underlying state of the economy, and others impact these variations.
A presentation given at the 2016 Traffic Safety Conference during Breakout Session 12: Engineering Research Findings. By Kay Fitzpatrick, Senior Research Engineer, Roadway Design, Texas A&M Transportation Institute
A presentation given at the 2016 Traffic Safety Conference during Breakout Session 12: Engineering Research Findings. By Karen Dixon, Senior Research Engineer, Roadway Safety, Texas A&M Transportation Institute
Breakout Session 7: Integrated Solutions for Transportation Safety – ATLAS Center Projects
2015 Traffic Safety Conference
by Dan Blower, Associate Research Scientist, ATLAS Center/University of Michigan Transportation Research Institute
There are various methods in determining traffic quantity and characteristics around the city of Vancouver. These traffic data are collected from different methods including : - permanent count station : these satiations are collecting the pedestrians, bikes, and vehicles volume that are used to monitor temporal traffic pattern changes around the city. - Short term count data : is used to supplement permanent count data by providing specific metrics related to road user classification, turning counts, and speed data. We used FME for data integration to the variety of data sources including SQL server, files based in XLS and PDF format for the data engineering part. All QC rules, data calculation and data conversion were part of this workflow and all were developed by FME to the close to real time data visualization. The outcomes are published as a part of the open data platform. More information is available at : https://vancouver.ca/streets-transportation/traffic-count-data.aspx
For more infor see:
Baratian-Ghorghi, F., Zhou, H., & Wasilefsky, I. (2015). Effect of Red-Light Cameras on Capacity of Signalized Intersections. Journal of Transportation Engineering, 142(1), 04015035.
http://ascelibrary.org/doi/abs/10.1061/(ASCE)TE.1943-5436.0000804
The Australasia NCAP Experience, presentation by Nicholas Clarke, CEO of ANCAP at the 2014 Global NCAP Annual Meeting. CATARC, Tianjin, China. 30 October 2014
The study aims to quantify how people make trade-offs to avoid junctions by taking additional time along routes with and without cycle facilities in the UK context. A video based stated preference survey and analysis is undertaken to investigate how people feel approaching junctions, determine the relative importance of the features of junctions, determine how cycle facilities compensate the exposure of right turn risks at junctions at the cost of additional time and identify the person type factors that also influence choice. Primary data is used for the study. The survey work for the primary data constituted a major part of the study.
Preliminary findings _OECD field visits to ten regions in the TSI EU mining r...OECDregions
Preliminary findings from OECD field visits for the project: Enhancing EU Mining Regional Ecosystems to Support the Green Transition and Secure Mineral Raw Materials Supply.
RFP for Reno's Community Assistance CenterThis Is Reno
Property appraisals completed in May for downtown Reno’s Community Assistance and Triage Centers (CAC) reveal that repairing the buildings to bring them back into service would cost an estimated $10.1 million—nearly four times the amount previously reported by city staff.
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Efforts to reduce the emissions from car travel have so far been hampered by a lack of specific information on car ownership and use. The Motoring and vehicle Ownership Trends in the UK (MOT) project seeks to address this by bringing together new sources of data to give a spatially and disaggregated diagnosis of car ownership and use in Great Britain and the associated energy demand and emissions.
Data from annual car M.O.T tests, made available by the Department for Transport, will be used as a platform upon which to develop and undertake a set of inter-linked modelling and analysis tasks using multiple sources of vehicle-specific and area-based data. Through this the project will develop the capability to understand spatial and temporal differences in car ownership and use, the determinants of those differences, and how levels may change over time and in response to various policy measures. The relationship between fuel use and emissions, and the demographic, economic, infrastructural and socio-cultural factors influencing these will also be tested.
Consequently, the MOT project has the potential to transform the way in which energy and emissions related to car use are quantified, understood and monitored to help refine future research and policy agendas and to inform transport and energy infrastructure planning.
www.its.leeds.ac.uk/research/featured-projects/mot
Highway crash data with average of 39 thousand fatalities and 2.4 million nonfatal injuries per year have repetitive and predictable patterns, and may benefit from statistical predictive
models to enhance highway safety and operation efforts to reduce crash fatalities/injuries. Highway crashes have patterns that repeat over fixed periods of time within the data set for
crashes such as motorcycle, bicycles, pedestrians, nighttime, fixed object, weekend, and winter crashes. In some States, these crashes are weekly, monthly, or seasonally. Contributing
factors such as: age category, light condition, weather, weekday, underlying state of the economy, and others impact these variations.
Highway crash data with average of 39 thousand fatalities and 2.4 million nonfatal injuries per year have repetitive and predictable patterns, and may benefit from statistical predictive models to enhance highway safety and operation efforts to reduce crash fatalities/injuries. Highway crashes have patterns that repeat over fixed periods of time within the data set for crashes such as motorcycle, bicycles, pedestrians, nighttime, fixed object, weekend, and winter crashes. In some States, these crashes are weekly, monthly, or seasonally. Contributing factors such as: age category, light condition, weather, weekday, underlying state of the economy, and others impact these variations.
A presentation given at the 2016 Traffic Safety Conference during Breakout Session 12: Engineering Research Findings. By Kay Fitzpatrick, Senior Research Engineer, Roadway Design, Texas A&M Transportation Institute
A presentation given at the 2016 Traffic Safety Conference during Breakout Session 12: Engineering Research Findings. By Karen Dixon, Senior Research Engineer, Roadway Safety, Texas A&M Transportation Institute
Breakout Session 7: Integrated Solutions for Transportation Safety – ATLAS Center Projects
2015 Traffic Safety Conference
by Dan Blower, Associate Research Scientist, ATLAS Center/University of Michigan Transportation Research Institute
There are various methods in determining traffic quantity and characteristics around the city of Vancouver. These traffic data are collected from different methods including : - permanent count station : these satiations are collecting the pedestrians, bikes, and vehicles volume that are used to monitor temporal traffic pattern changes around the city. - Short term count data : is used to supplement permanent count data by providing specific metrics related to road user classification, turning counts, and speed data. We used FME for data integration to the variety of data sources including SQL server, files based in XLS and PDF format for the data engineering part. All QC rules, data calculation and data conversion were part of this workflow and all were developed by FME to the close to real time data visualization. The outcomes are published as a part of the open data platform. More information is available at : https://vancouver.ca/streets-transportation/traffic-count-data.aspx
For more infor see:
Baratian-Ghorghi, F., Zhou, H., & Wasilefsky, I. (2015). Effect of Red-Light Cameras on Capacity of Signalized Intersections. Journal of Transportation Engineering, 142(1), 04015035.
http://ascelibrary.org/doi/abs/10.1061/(ASCE)TE.1943-5436.0000804
The Australasia NCAP Experience, presentation by Nicholas Clarke, CEO of ANCAP at the 2014 Global NCAP Annual Meeting. CATARC, Tianjin, China. 30 October 2014
The study aims to quantify how people make trade-offs to avoid junctions by taking additional time along routes with and without cycle facilities in the UK context. A video based stated preference survey and analysis is undertaken to investigate how people feel approaching junctions, determine the relative importance of the features of junctions, determine how cycle facilities compensate the exposure of right turn risks at junctions at the cost of additional time and identify the person type factors that also influence choice. Primary data is used for the study. The survey work for the primary data constituted a major part of the study.
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Property appraisals completed in May for downtown Reno’s Community Assistance and Triage Centers (CAC) reveal that repairing the buildings to bring them back into service would cost an estimated $10.1 million—nearly four times the amount previously reported by city staff.
Working with data is a challenge for many organizations. Nonprofits in particular may need to collect and analyze sensitive, incomplete, and/or biased historical data about people. In this talk, Dr. Cori Faklaris of UNC Charlotte provides an overview of current AI capabilities and weaknesses to consider when integrating current AI technologies into the data workflow. The talk is organized around three takeaways: (1) For better or sometimes worse, AI provides you with “infinite interns.” (2) Give people permission & guardrails to learn what works with these “interns” and what doesn’t. (3) Create a roadmap for adding in more AI to assist nonprofit work, along with strategies for bias mitigation.
Combined Illegal, Unregulated and Unreported (IUU) Vessel List.Christina Parmionova
The best available, up-to-date information on all fishing and related vessels that appear on the illegal, unregulated, and unreported (IUU) fishing vessel lists published by Regional Fisheries Management Organisations (RFMOs) and related organisations. The aim of the site is to improve the effectiveness of the original IUU lists as a tool for a wide variety of stakeholders to better understand and combat illegal fishing and broader fisheries crime.
To date, the following regional organisations maintain or share lists of vessels that have been found to carry out or support IUU fishing within their own or adjacent convention areas and/or species of competence:
Commission for the Conservation of Antarctic Marine Living Resources (CCAMLR)
Commission for the Conservation of Southern Bluefin Tuna (CCSBT)
General Fisheries Commission for the Mediterranean (GFCM)
Inter-American Tropical Tuna Commission (IATTC)
International Commission for the Conservation of Atlantic Tunas (ICCAT)
Indian Ocean Tuna Commission (IOTC)
Northwest Atlantic Fisheries Organisation (NAFO)
North East Atlantic Fisheries Commission (NEAFC)
North Pacific Fisheries Commission (NPFC)
South East Atlantic Fisheries Organisation (SEAFO)
South Pacific Regional Fisheries Management Organisation (SPRFMO)
Southern Indian Ocean Fisheries Agreement (SIOFA)
Western and Central Pacific Fisheries Commission (WCPFC)
The Combined IUU Fishing Vessel List merges all these sources into one list that provides a single reference point to identify whether a vessel is currently IUU listed. Vessels that have been IUU listed in the past and subsequently delisted (for example because of a change in ownership, or because the vessel is no longer in service) are also retained on the site, so that the site contains a full historic record of IUU listed fishing vessels.
Unlike the IUU lists published on individual RFMO websites, which may update vessel details infrequently or not at all, the Combined IUU Fishing Vessel List is kept up to date with the best available information regarding changes to vessel identity, flag state, ownership, location, and operations.
Donate to charity during this holiday seasonSERUDS INDIA
For people who have money and are philanthropic, there are infinite opportunities to gift a needy person or child a Merry Christmas. Even if you are living on a shoestring budget, you will be surprised at how much you can do.
Donate Us
https://serudsindia.org/how-to-donate-to-charity-during-this-holiday-season/
#charityforchildren, #donateforchildren, #donateclothesforchildren, #donatebooksforchildren, #donatetoysforchildren, #sponsorforchildren, #sponsorclothesforchildren, #sponsorbooksforchildren, #sponsortoysforchildren, #seruds, #kurnool
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The potato is a starchy root vegetable native to the Americas that is consumed as a staple food in many parts of the world. Potatoes are tubers of the plant Solanum tuberosum, a perennial in the nightshade family Solanaceae. Wild potato species can be found from the southern United States to southern Chile
Synopsis (short abstract) In December 2023, the UN General Assembly proclaimed 30 May as the International Day of Potato.
Jennifer Schaus and Associates hosts a complimentary webinar series on The FAR in 2024. Join the webinars on Wednesdays and Fridays at noon, eastern.
Recordings are on YouTube and the company website.
https://www.youtube.com/@jenniferschaus/videos
Monitoring Health for the SDGs - Global Health Statistics 2024 - WHOChristina Parmionova
The 2024 World Health Statistics edition reviews more than 50 health-related indicators from the Sustainable Development Goals and WHO’s Thirteenth General Programme of Work. It also highlights the findings from the Global health estimates 2021, notably the impact of the COVID-19 pandemic on life expectancy and healthy life expectancy.
Jennifer Schaus and Associates hosts a complimentary webinar series on The FAR in 2024. Join the webinars on Wednesdays and Fridays at noon, eastern.
Recordings are on YouTube and the company website.
https://www.youtube.com/@jenniferschaus/videos
4. Existing Intersection Safety Performance
5 years of historical crash data
– Total Number of Crashes: 12
– Total Injuries: 12
5. How does a roundabout compare to a signal?
Year 2035 Operations – Average Delay per Vehicle
> 80s
~ 29s (With left-turn lanes)
29s (Single-lane roundabout)
24s (With NB right-turn lane)
OR126/Tom McCall
Vehicle stacking
Queues are approximately half as
long with roundabout vs. signal
6. How does a roundabout compare to a signal?
Future Safety Performance over 5 Years
6.5 Total Crashes
3.4 Fatal/Injury
3.6 Total Crashes
3.3 Fatal/Injury
1.9 Total Crashes
0.4 Fatal/Injury
71% reduction
87% reduction
OR126/Tom McCall
44% reduction
3% reduction