Overpopulation And The Impact On The Environment,
2017
CUNY Graduate Center
Overpopulation And The Impact On The Environment, Doris Baus
Dissertations, Theses, and Capstone Projects
In this research paper, the main focus is on the issue of overpopulation and its impact on the environment. The growing size of the global population is not an issue that appeared within the past couple of decades, but its origins come from the prehistoric time and extend to the very present day. Throughout the history, acknowledged scientists introduced the concept of “overpopulation” and predicted the future consequences if the world follows the same behavioral pattern. According to predictions, scientists invented the birth control pill and set population control through eugenics. Despite that, population continued to increase and fight with …
Evaluation Of An Electric Bike Pilot Project At Three Employment Campuses In Portland, Oregon,
2017
Portland State University
Evaluation Of An Electric Bike Pilot Project At Three Employment Campuses In Portland, Oregon, John Macarthur, Nicholas Kobel, Jennifer Dill, Zakari Mumuni
TREC Final Reports
Oregon, and Portland in particular, is internationally known for its love for bikes. Not only does the region have some of the highest bike ridership but the Oregon bike manufacturing industry is quickly growing. Oregon’s electric bike (e-bike) market is also growing but little data are available on the potential market and e-bike user behavior and interest. Only a limited amount of research has explored the potential new market segments for e-bikes and the economic, operational, safety, and transportation issues surrounding e-bikes in the United States. This report examines the results of an electric bike (e-bike) pilot project, which took …
Improving Trip Generation Methods For Livable Communities,
2017
Portland State University
Improving Trip Generation Methods For Livable Communities, Kelly J. Clifton, Nico Larco, Kristina Marie Currans, Jael Wettach-Glosser
TREC Final Reports
Recent efforts to improve trip generation data available for transportation impact analysis of new development include the collection of multimodal trip generation data, development of models that account for the built environment, and new recommendations for practice. Building on a long line of research on transportation and built environment, many studies have identified important features of the surrounding built environment that most impact trip rates and mode shares, building on a long line of research on transportation and the built environment. Despite these improvements in data and methods, less attention is placed on identifying the conditions of the site itself …
Webinar: Improving Walkability At Signalized Intersections With Signal Control Strategies,
2017
Northern Arizona University
Webinar: Improving Walkability At Signalized Intersections With Signal Control Strategies, Edward J. Smaglik, Sirisha Murthy Kothuri
TREC Webinar Series
The goal of signal timing at an intersection should be to maximize efficiency for all users. In many jurisdictions, however, traffic signals are timed mostly with the goal of reducing vehicular delay.
Other road users, such as pedestrians, deserve similar focus. In legacy transportation systems, pedestrians experience delays much in excess of those that would be deemed acceptable for a motor vehicle at the same location.
Excessive delay can lead to pedestrian frustration, non-compliance and ultimately decreased safety.
In the North American context, implementation of strategies to address pedestrian service varies greatly across jurisdictions, and there has been limited research …
Measuring Stress Levels For Real-World On-Road Cyclists: Do Bicycle Facilities, Intersections And Traffic Levels Affect Cyclists' Stress?,
2017
Portland State University
Measuring Stress Levels For Real-World On-Road Cyclists: Do Bicycle Facilities, Intersections And Traffic Levels Affect Cyclists' Stress?, Álvaro Caviedes
PSU Transportation Seminars
This research effort presents a novel approach to measure cyclists’ stress: real-world, on-road measurements of physiological stress as cyclists travel across different types of bicycle facilities in various traffic volumes. This study addresses the question of how the characteristics of a bicycle trip affect stress levels using physiological data, specifically GSR. As detailed in the next section, GSR-based studies have been successfully employed for many years in the psychological field to recognize and associate emotions and behaviors to physiological responses. The three research questions examined in this study are: i) Does peak traffic impact cyclists’ stress levels? ii) Do intersections …
A Pathway Linking Smart Growth Neighborhoods To Home-Based Pedestrian Travel,
2017
Portland State University
A Pathway Linking Smart Growth Neighborhoods To Home-Based Pedestrian Travel, Steven R. Gehrke, Kelly J. Clifton
PSU Transportation Seminars
Land development patterns, urban design, and transportation system features are inextricably linked to pedestrian travel. Accordingly, planners and decision-makers have turned to integrated transportation-land use policies and investments to address the pressing need for improvements in physical activity levels via the creation of walkable communities. However, policy questions regarding the identification of smart growth indicators and their connection to walking remain unanswered, because most studies of the built environment determinants of pedestrian travel: (a) represent the built environment with isolated metrics instead of as a multidimensional construct and (b) model this transportation-land use relationship outside of a multidirectional analytic framework. …
Estimating And Decomposing Changes In The White-Black Homeownership Gap From 2005 To 2011,
2017
Singapore Management University
Estimating And Decomposing Changes In The White-Black Homeownership Gap From 2005 To 2011, Kiat Ying Seah, Eric Fesselmeyer, Kien Le
Research Collection College of Integrative Studies
This study evaluates the effects of the recent US housing bust on the White-Black homeownership gap by estimating and decomposing the changes in the distribution of the gap between 2005 and 2011. Our analysis shows that the housing bust did not affect the homeownership gap uniformly. In fact, we find that the gap decreased for households that were the least likely to own and remained unchanged for households that were the most likely to own, and that Black households with around a 50% probability of homeownership were especially vulnerable to the crisis. We also find that the contribution of the …
"Tell Him I'M Gone" On The Margins In High-Tech City,
2017
University of San Francisco
"Tell Him I'M Gone" On The Margins In High-Tech City, Rachel Brahinsky
Politics
No abstract provided.
Poverty By Race Of Poor In Henrico County, Virginia,
2017
University of Richmond
Poverty By Race Of Poor In Henrico County, Virginia, John V. Moeser, Taylor Holden, Evelyn Jeong, Jacob Salamy
Poverty in Metropolitan Richmond
Data for the charts, tables, and maps are the most recent from the U.S. Census, American Community Survey (ACS), 2011-2015, Five-Year Estimates. Five-year estimates are used rather than one-year or three-year estimates in order to reduce the margin of error. Slides reflect ACS and Census data from 2000-2015. This update also includes maps and figures pertaining to the Asian and Hispanic/Latino foreign born populations in the region.
Children Under 18 Living In Poverty, 2000-2015,
2017
University of Richmond
Children Under 18 Living In Poverty, 2000-2015, John V. Moeser, Taylor Holden, Evelyn Jeong, Jacob Salamy
Poverty in Metropolitan Richmond
Data for the charts, tables, and maps are the most recent from the U.S. Census, American Community Survey (ACS), 2011-2015, Five-Year Estimates. Five-year estimates are used rather than one-year or three-year estimates in order to reduce the margin of error. Slides reflect ACS and Census data from 2000-2015. This update also includes maps and figures pertaining to the Asian and Hispanic/Latino foreign born populations in the region.
Poverty By Race Of Poor In Chesterfield County, Virginia,
2017
University of Richmond
Poverty By Race Of Poor In Chesterfield County, Virginia, John V. Moeser, Taylor Holden, Evelyn Jeong, Jacob Salamy
Poverty in Metropolitan Richmond
Data for the charts, tables, and maps are the most recent from the U.S. Census, American Community Survey (ACS), 2011-2015, Five-Year Estimates. Five-year estimates are used rather than one-year or three-year estimates in order to reduce the margin of error. Slides reflect ACS and Census data from 2000-2015. This update also includes maps and figures pertaining to the Asian and Hispanic/Latino foreign born populations in the region.
Introduction: Unpacking The Census – 2017,
2017
University of Richmond
Introduction: Unpacking The Census – 2017, John V. Moeser, Taylor Holden, Evelyn Jeong, Jacob Salamy
Poverty in Metropolitan Richmond
Data for the charts, tables, and maps are the most recent from the U.S. Census, American Community Survey (ACS), 2011-2015, Five-Year Estimates. Five-year estimates are used rather than one-year or three-year estimates in order to reduce the margin of error. Slides reflect ACS and Census data from 2000-2015. This update also includes maps and figures pertaining to the Asian and Hispanic/Latino foreign born populations in the region.
Poverty By Race Of Poor In Richmond, Virginia,
2017
University of Richmond
Poverty By Race Of Poor In Richmond, Virginia, John V. Moeser, Taylor Holden, Evelyn Jeong, Jacob Salamy
Poverty in Metropolitan Richmond
Data for the charts, tables, and maps are the most recent from the U.S. Census, American Community Survey (ACS), 2011-2015, Five-Year Estimates. Five-year estimates are used rather than one-year or three-year estimates in order to reduce the margin of error. Slides reflect ACS and Census data from 2000-2015. This update also includes maps and figures pertaining to the Asian and Hispanic/Latino foreign born populations in the region.
Poverty In The Greater Richmond Region, 2000-2015,
2017
University of Richmond
Poverty In The Greater Richmond Region, 2000-2015, John V. Moeser, Taylor Holden, Evelyn Jeong, Jacob Salamy
Poverty in Metropolitan Richmond
Data for the charts, tables, and maps are the most recent from the U.S. Census, American Community Survey (ACS), 2011-2015, Five-Year Estimates. Five-year estimates are used rather than one-year or three-year estimates in order to reduce the margin of error. Slides reflect ACS and Census data from 2000-2015. This update also includes maps and figures pertaining to the Asian and Hispanic/Latino foreign born populations in the region.
Poverty By Race Of Poor In Hanover County, Virginia,
2017
University of Richmond
Poverty By Race Of Poor In Hanover County, Virginia, John V. Moeser, Taylor Holden, Evelyn Jeong, Jacob Salamy
Poverty in Metropolitan Richmond
Data for the charts, tables, and maps are the most recent from the U.S. Census, American Community Survey (ACS), 2011-2015, Five-Year Estimates. Five-year estimates are used rather than one-year or three-year estimates in order to reduce the margin of error. Slides reflect ACS and Census data from 2000-2015. This update also includes maps and figures pertaining to the Asian and Hispanic/Latino foreign born populations in the region.
Immigration And Country Of Origin: Greater Richmond, Virginia Region,
2017
University of Richmond
Immigration And Country Of Origin: Greater Richmond, Virginia Region, John V. Moeser, Taylor Holden, Evelyn Jeong, Jacob Salamy
Poverty in Metropolitan Richmond
Data for the charts, tables, and maps are the most recent from the U.S. Census, American Community Survey (ACS), 2011-2015, Five-Year Estimates. Five-year estimates are used rather than one-year or three-year estimates in order to reduce the margin of error. Slides reflect ACS and Census data from 2000-2015. This update also includes maps and figures pertaining to the Asian and Hispanic/Latino foreign born populations in the region.
Race And Place In The Greater Richmond, Virginia Region,
2017
University of Richmond
Race And Place In The Greater Richmond, Virginia Region, John V. Moeser, Taylor Holden, Evelyn Jeong, Jacob Salamy
Poverty in Metropolitan Richmond
Data for the charts, tables, and maps are the most recent from the U.S. Census, American Community Survey (ACS), 2011-2015, Five-Year Estimates. Five-year estimates are used rather than one-year or three-year estimates in order to reduce the margin of error. Slides reflect ACS and Census data from 2000-2015. This update also includes maps and figures pertaining to the Asian and Hispanic/Latino foreign born populations in the region.
Percentage Of Population Unemployed In The Greater Richmond, Virginia Region,
2017
University of Richmond
Percentage Of Population Unemployed In The Greater Richmond, Virginia Region, John V. Moeser, Taylor Holden, Evelyn Jeong, Jacob Salamy
Poverty in Metropolitan Richmond
Data for the charts, tables, and maps are the most recent from the U.S. Census, American Community Survey (ACS), 2011-2015, Five-Year Estimates. Five-year estimates are used rather than one-year or three-year estimates in order to reduce the margin of error. Slides reflect ACS and Census data from 2000-2015. This update also includes maps and figures pertaining to the Asian and Hispanic/Latino foreign born populations in the region.
Median Household Income: Greater Richmond, Virginia Region,
2017
University of Richmond
Median Household Income: Greater Richmond, Virginia Region, John V. Moeser, Taylor Holden, Evelyn Jeong, Jacob Salamy
Poverty in Metropolitan Richmond
Data for the charts, tables, and maps are the most recent from the U.S. Census, American Community Survey (ACS), 2011-2015, Five-Year Estimates. Five-year estimates are used rather than one-year or three-year estimates in order to reduce the margin of error. Slides reflect ACS and Census data from 2000-2015. This update also includes maps and figures pertaining to the Asian and Hispanic/Latino foreign born populations in the region.
Unpacking The Census: 2015 Updates -- Master Copy,
2017
University of Richmond
Unpacking The Census: 2015 Updates -- Master Copy, John V. Moeser, Taylor Holden, Evelyn Jeong, Jacob Salamy
Poverty in Metropolitan Richmond
NOTE: Master copy file contains 58 slides and may take several minutes to download.
Data for the charts, tables, and maps are the most recent from the U.S. Census, American Community Survey (ACS), 2011-2015, Five-Year Estimates. Five-year estimates are used rather than one-year or three-year estimates in order to reduce the margin of error. Slides reflect ACS and Census data from 2000-2015. This update also includes maps and figures pertaining to the Asian and Hispanic/Latino foreign born populations in the region.
