Factors Affecting Residential Parking Occupancy in Madison, Wisconsin

Author(s):  
Chris McCahill

Policy makers in urban areas throughout the United States are interested in managing parking provision and minimizing the negative impacts of excess parking, yet those policy makers often lack an understanding of how much the existing parking is used and how different factors affect its use. This paper presents a study of multifamily residential parking use and related factors at 80 sites in Madison, Wisconsin. Twenty-two factors, including neighborhood and building characteristics, are considered. During the evening peak, parking use ranges from 0 to 1.4 spaces per residential unit, and the existing supply is 67% occupied. This paper presents three simple models of parking occupancy that require only two neighborhood characteristics and three building characteristics. These models explain roughly two-thirds of the variation in occupancy. Neighborhood characteristics are highly collinear and explain roughly 40% of the variation. Building characteristics explain more than 50% of the variation. This work validates similar findings from prior studies of larger cities and also offers important guidance for practitioners in other cities to understand factors affecting parking demand and to develop models of their own. Given the vast amount of unused parking observed in this study, this work reinforces the notion that cities should implement policies to manage their supply better.

2018 ◽  
Vol 120 (13) ◽  
pp. 1-18
Author(s):  
Floyd D. Beachum

The Every Student Succeeds Act (ESSA) is now the educational law of the land. It replaced and revised what was known as No Child Left Behind (NCLB). ESSA represents a movement from more federal oversight to more state and local control. Although this transitional time period is one of great potential and excitement, educators and policy makers might also want to remain cautious. This next educational era of ESSA is still plagued by the problems of the past era. Teachers and administrators are still struggling to turn around low-performing schools in many U.S. urban areas; many urban educational issues, like high-dropout rates, gang influence, and low student engagement, are still inextricably linked to the socioeconomic problems that exist in local communities. This analysis first seeks to explain the purpose of ESSA. It then outlines the current plight of many students of color in the United States. Next, critical race theory is used to contextualize and categorize persistent problems that face the implementation of ESSA for these students of color. Finally, the author proposes ways to address the stated problems for school leaders and policy makers.


Author(s):  
Maria Matusiewicz

Distribution of goods in urban areas is one of the most important factors affecting the operation of the region but the management of these services is often overlooked by transport policy makers in Polish cities. Historical buildings create additional difficulties because they make the infrastructure development impossible. It is estimated that in large European cities approximately 25% of CO2 emissions, 30% of nitrogen oxides and 50% of particulates from transport are emitted by trucks and vans. The doctoral thesis presents methods used to optimize distribution processes in cities with historic buildings in Europe and around the world. It also presents the results of a research carried out in the Old Town of Gdańsk and proposes a method to optimize distribution processes for the area, which was the main objective of the work. The hypothesis of the trial has been formulated as follows: locating Urban Consolidation Center not far away from the center of the City of Gdańsk would bring tangible benefits for the city and all users of the urban space. The study used a method of analysis and criticism of literature; detailed study of a particular case and the method of observation. According to the design model, the proposed solution will bring tangible benefits to all users of space – residents, businesses and city authorities. The results of tests carried out on account of this thesis were provided to the city authorities.


2021 ◽  
Author(s):  
Fuqiang Zhao ◽  
Ying Sun ◽  
Jie Ge ◽  
Chunlei Zheng ◽  
Kepeng Ning ◽  
...  

Abstract Objective: This study analyzes the clinical features and prognosis of stages Ⅰ-Ⅲ colon cancer, and constructs a nomogram to predict the prognosis of patients. Methods: We included data from patients with stages Ⅰ-Ⅲ colon cancer confirmed by pathology after surgical treatment in the United States SEER (Surveillance, Epidemiology, and End Results) database from 2010-2015. The included patients are randomly divided into training cohorts and validation cohorts (ratio 1:1).The independent related factors of the prognosis of colon cancer patients were used to construct the nomogram and the web-based probability calculator.Concordance index (C-index) and calibration curve are used to evaluate the accuracy of the model. Results: After univariate and multivariate analysis, it was indicated that age, marital status, tumor grade, t-stage and n-stage were independent factors affecting prognosis of patients with stages Ⅰ-Ⅲ colon cancer. We built a nomogram and the web-based probability calculator based on this, and its C-index was 0.781 (95% CI: 0.77414–0.78786), and were superior to that of AJCC TNM Stage (C-index: 0.734, 95%CI: 0.72616–0.74184). The consistency test showed that the nomogram can effectively predict the prognosis of patients. The validation cohort confirms the reliability of the model. Conclusion: Age, marital status, tumor grade, t-stage and n-stage are independent factors affecting the prognosis of patients with stages Ⅰ-Ⅲ colon cancer. The nomogram we constructed in this way can better predict the prognosis of patients with stages Ⅰ-Ⅲ colon cancer.


Author(s):  
Georg Reichard ◽  
Suchismita Bhattacharjee

The authors present a comparative study on effectiveness of energy policies for the building sector that are presently implemented in selected countries in Europe versus selected states in the U.S. Socio-economic factors affecting energy consumption on both sides of the Atlantic are identified from a human behavior perspective. Various identified factors known to affect energy efficiency and consumption have been positioned in diagrams based on four primary directions: lifestyle, economy, environment, and technology. In a second step various programs and incentives are positioned in the same diagram to demonstrate how well these strategies address the factors identified before. This is done for selected countries and continents in sub-diagrams to allow a comparison of effectiveness and provide a tool for predicting the effectiveness of a possible policy or program transfer to other nations. The research conducted so far suggests that energy efficiency policies and measures implemented in the United States do not always target the factors that have been identified to most significantly influence energy consumption. The results indicate that there might be a significant gap between parameters that are guiding factors affecting energy consumption, and parameters targeting a proper implementation of energy efficient policies. The authors strive to provide a tool that will help policy makers and other decision makers to evaluate and compare their incentives and programs against those from other countries and benefit from lessons learned by mapping various policies towards specific efficiency parameters.


1983 ◽  
Vol 7 (1) ◽  
pp. 31-59 ◽  
Author(s):  
Eileen M. Crimmins ◽  
Gretchen A. Condran

Health conditions in United States cities at the turn of the twentieth century were very poor. Bleak pictures of crowded dwellings, contaminated water supplies, and filthy streets have been painted by numerous observers of urban areas at the time (Smith, 1964). While the effects of these conditions on mortality levels have not been precisely measured, urban mortality rates were consistently higher than rural mortality rates in 1900 in the United States (Condran and Crimmins, 1980). Nevertheless, considerable variation in the mortality levels of different cities also existed. Our goal in this article is to explain the variation in the mortality conditions in U.S. cities for which death registration data were collected in 1900. The analysis is done in two stages. First, the causes of death which accounted for the different mortality levels are isolated. Second, a multivariate analysis of the factors affecting the rates of occurrence of these causes of death is performed.


2018 ◽  
Vol 10 (10) ◽  
pp. 40
Author(s):  
Nathanael M. Thompson ◽  
James A. Larson ◽  
Margarita Velandia ◽  
Dayton M. Lambert ◽  
Burton C. English

Precision agriculture technologies are increasingly important in cotton production because input prices continue to rise. Farmers increase input efficiency using precision agriculture technologies by adjusting inputs to match soil fertility and plant nutrition requirements. This research examines the factors affecting changes in fertilizer use following variable-rate fertilizer application in cotton production. Data from a 2009 survey of cotton producers in 12 states of the United States were used in the analysis. Farmers who used precision soil sampling, planted larger cotton area, relied on other farmers for information about PA, grew picker cotton, and had higher household income were more likely to decrease fertilizer application with VRT. Results from this analysis are useful to farmers and policy makers interested in reducing fertilizer use in the face of rising fertilizer prices and growing concerns about the environmental impacts of farming.


2005 ◽  
Vol 5 ◽  
pp. 370-376 ◽  
Author(s):  
Isack Kandel ◽  
Joav Merrick

Parents of disabled children often face the question whether or not to keep the child at home or to place them. The choice between the two alternatives resides with the parents and various factors influence their decision. Several researchers have identified these factors, which include child-related parameters, family and parental attitudes, the influence of the social environment, and the external assistance provided to the family. In a pilot study, we attempted to isolate the main factors involved in the parental decision either to keep the child at home or place the child by examining a sample comprised of 50 parents of children suffering severe intellectual disability studying in a special education school and 48 parents of adults with intellectual disability working in sheltered workshops. Each parent filled out a questionnaire used in a study in the United States and results of the research indicated parental-related factors as the dominant factors that delayed the placement of their child in residential care; guilt feelings were the main factor.


2005 ◽  
Vol 52 (1) ◽  
pp. 27-31 ◽  
Author(s):  
Amit S. Kulkarni ◽  
Rajesh Balkrishnan ◽  
David Richmond ◽  
Daniel J. Pearce ◽  
Steven R. Feldman

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