Assessing the Potential Extent of Carsharing

2005 ◽  
Vol 1927 (1) ◽  
pp. 174-181 ◽  
Author(s):  
Thomas D. Schuster ◽  
John Byrne ◽  
James Corbett ◽  
Yda Schreuder
Keyword(s):  
Travel Behavior ◽  
Geographic Area ◽  
Social Consequences ◽  
Sensitivity Analyses ◽  
Policy Makers ◽  
Individual Level ◽  
Policy Tool ◽  
Interest Policy ◽  
Sound Policy ◽  
The Individual

Members of carsharing organizations reduce both the number of vehicles owned and vehicle miles traveled (VMT). Given these benefits at the individual level, carsharing may interest policy makers as another tool to address the negative environmental, economic, and social consequences of automobile dependence. However, the aggregate effects of carsharing must be estimated before sound policy decisions can be made. This paper describes a Monte Carlo simulation of the economic decision to own or share a vehicle on the basis of major cost components and past vehicle use. The simulation estimates the percentage of vehicles that would be cheaper to share than own. In Baltimore, Maryland, this result ranged from 4.2% under a traditional neighborhood carsharing model to 14.8% in a commuter-based carsharing model. Sensitivity analyses identified travel time and VMT as the most important economic factors, which likely incorporate other factors such as transit access and environmental attitudes. Because travel behavior, not ownership cost, drives the economic carsharing decision, the model hypothesizes that there will be increasing marginal societal benefits from policies that promote carsharing. The model can be applied to any geographic area and can be used to assess carsharing impacts of various policies that change the economics of owning or driving an auto. These results indicate that carsharing can become prevalent enough to be considered an important policy tool.

Winning hearts & minds (!)

2017 ◽  
Vol 54 (6) ◽  
pp. 819-832 ◽  
Author(s):  
Efe Tokdemir
Keyword(s):  
Foreign Aid ◽  
Soft Power ◽  
Public Attitudes ◽  
Regime Type ◽  
Negative Attitudes ◽  
Individual Level ◽  
Policy Tool ◽  
The Us ◽  
The Usa ◽  
The Individual

Foreign aid is a policy tool implemented with the purpose of fostering both hard and soft power abroad. Yet, previous research has not probed the effects of US foreign aid on public attitudes toward the US in the recipient countries. In this article, I argue that US foreign aid may actually feed anti-Americanism: aid indirectly creates winners and losers in the recipient countries, such that politically discontented people may blame the US for the survival of the prevailing regime. Drawing on Pew Research for Global Attitudes and on USAID Greenbook datasets, I focus on determining both the conditions under which foreign aid exacerbates anti-Americanism and the type of aid most likely to do this. The findings reveal that political losers of the recipient countries are more likely to express negative attitudes toward the USA as the amount of US aid increases, whereas political winners enjoy the results of US aid and view the USA positively accordingly. Moreover, the effect of US aid on attitudes toward the USA is also conditional on the regime type. While US aid increases the likelihood of anti-American attitudes among the losers in non-democratic countries, it decreases the likelihood of anti-Americanism among the losers in democratic ones. This article has important implications for policy in terms of determining how and to whom to provide aid in the context of the possible ramifications of providing aid at the individual level.

Analyzing Transit User Behavior with 51 Weeks of Smart Card Data

2019 ◽  
Vol 2673 (6) ◽  
pp. 33-45 ◽  
Author(s):  
Elodie Deschaintres ◽  
Catherine Morency ◽  
Martin Trépanier
Keyword(s):  
Smart Card ◽  
Public Transportation ◽  
Travel Behavior ◽  
Travel Demand ◽  
Public Transit ◽  
User Behavior ◽  
Individual Level ◽  
Smart Card Data ◽  
Demand Models ◽  
The Individual

A better understanding of mobility behaviors is relevant to many applications in public transportation, from more accurate travel demand models to improved supply adjustment, customized services and integrated pricing. In line with this context, this study mined 51 weeks of smart card (SC) data from Montréal, Canada to analyze interpersonal and intrapersonal variability in the weekly use of public transit. Passengers who used only one type of product (AP − annual pass, MP − monthly pass, or TB − ticket book) over 12 months were selected, amounting to some 200,000 cards. Data was first preprocessed and summarized into card-week vectors to generate a typology of weeks. The most popular weekly patterns were identified for each type of product and further studied at the individual level. Sequences of week clusters were constructed to represent the weekly travel behavior of each user over 51 weeks. They were then segmented by type of product according to an original distance, therefore highlighting the heterogeneity between passengers. Two indicators were also proposed to quantify intrapersonal regularity as the repetition of weekly clusters throughout the weeks. The results revealed MP owners have a more regular and diversified use of public transit. AP users are mainly commuters whereas TB users tend to be more occasional transit users. However, some atypical groups were found for each type of product, for instance users with 4-day work weeks and loyal TB users.

scholarly journals Social Capital Changes After COVID-19 Lockdown Among Youths in China: COVID-19 Impact on Lifestyle Change Survey (COINLICS)

2021 ◽  
Vol 9 ◽  
Author(s):  
Bin Yu ◽  
Miyang Luo ◽  
Meijing Liu ◽  
Junmin Zhou ◽  
Shujuan Yang ◽  
...  
Keyword(s):  
Social Capital ◽  
Lifestyle Change ◽  
Convenience Sample ◽  
Policy Makers ◽  
Educational Levels ◽  
Chinese Youth ◽  
Individual Level ◽  
Before And After ◽  
Four Levels ◽  
The Individual

Introduction: Social capital, the effective functioning of social groups through networks of relationships, can affect mental health and may be affected by COVID-19. We aimed to examine the changes in social capital before and after the COVID-19 lockdown among the Chinese youth.Methods: A national convenience sample of 10,540 high school, undergraduate, and graduate students, from the COVID-19 Impact on Lifestyle Change Survey (COINLICS), reported their demographic and social capital information before and after the COVID-19 lockdown. Social capital was retrospectively measured at four levels: individual (ISC), family (FSC), community (CSC), and society (SSC). The changes of social capital were also compared across three educational levels.Results: Overall, ISC and CSC scores generally decreased after lockdown (15.1 to 14.8 and 13.4 to 13.1, respectively), while FSC and SSC scores increased significantly (12.7 to 13.0 and 7.1 to 7.2, respectively). At the individual level, most participants showed a constant perceived social capital; more of the remaining participants showed decreased than increased ISC (30.5% vs. 17.0%) and CSC scores (28.4% vs. 19.1%), while more participants showed increased than decreased FSC (21.7% vs. 9.2%) and SSC scores (10.3% vs. 3.9%). Heterogeneities in social capital changes existed across educational levels.Conclusions: Our findings would provide health professionals and policy-makers solid evidence on the changes in social capital of youths after lockdowns, and therefore help the design of future interventions to rebuild or improve their social capital after epidemics/disasters.

scholarly journals Planned Retirement Timing in Europe: Are Europeans Adapting to the Policy of Extending Working Lives

2021 ◽  
Vol 6 ◽  
Author(s):  
Moritz Hess ◽  
Laura Naegele ◽  
Lena Becker ◽  
Jana Mäcken ◽  
Wouter De Tavernier
Keyword(s):  
Older Workers ◽  
Welfare States ◽  
Retirement Age ◽  
Policy Makers ◽  
Individual Level ◽  
Working Lives ◽  
Gender Education ◽  
Self Reported Health Status ◽  
The Individual ◽  
Country Specific

As populations are ageing concerns regarding the sustainability of European welfare states have come to the forefront. In reaction, policy makers have implemented measurements aimed at the prolongation of working lives. This study investigates weather older workers have adapted their planned retirement age, as a result of this new policy credo. Based on data from Survey of Health, Ageing and Retirement in Europe (SHARE) the analysis shows an increase of the planned retirement age (1.36 years) across all ten European countries investigated, albeit with country-specific variations. Variations on the individual level can be detected in regard to gender, education and self-reported health status.

scholarly journals Means, Motives and Opportunity: determinants of community health worker performance

2019 ◽  
Vol 4 (5) ◽  
pp. e001790 ◽  
Author(s):  
Aparna John ◽  
Thomas Newton-Lewis ◽  
Shuchi Srinivasan
Keyword(s):  
Community Health ◽  
Health Workers ◽  
Policy Makers ◽  
Individual Level ◽  
Wide Range ◽  
Worker Performance ◽  
Performance Problem ◽  
The Individual ◽  
Job Role

The performance of community health workers (CHWs) typically depends on the interaction between their motivation (their intent to achieve personal and organisational goals) and the constraints that they face in doing so. These constraints can be both at the individual level, for example, whether the worker has the skills and knowledge required to deliver on their job role, and the organisational level, for example, whether the worker is provided with the resources required to perform. Designing interventions to improve the performance of CHWs requires identifying the constraints to performance in a particular context. Existing frameworks on CHW performance tend to be derived empirically, identifying a broad range of intervention design and contextual factors that have been shown to influence CHW performance. These may not always be able to guide policy makers to identify the precise cause of a specific performance problem in a particular context and develop an appropriate policy response. This article presents a framework to help practitioners and researchers diagnose the constraints to performance of CHWs and guide programmatic and policy responses. The Means, Motives and Opportunity (MMO) framework has been adapted from the SaniFOAM framework used to identify the determinants of sanitation behaviours. It is based on three interdependent and interacting domains: means (whether an individual is capable of performing), motives (whether an individual wants to perform) and opportunity (whether the individual has the chance to perform). A wide range of data sources are expected to be used when applying the MMO framework, especially qualitative research that captures the perspectives and lived realities of CHWs and their communities. In this article, we demonstrate how the MMO framework can be applied to identify the constraints to CHW performance using the case study of Anganwadi Workers (village nutrition workers) in Bihar, India.

Predicting Behavior of Passengers Using Data Collected Through Smart Cards

2018 ◽  
pp. 127-156
Author(s):  
Gaurav Ahlawat ◽  
Ankit Gupta ◽  
Avimanyou K Vatsa
Keyword(s):  
Travel Behavior ◽  
Data Analytics ◽  
Behavioral Changes ◽  
Smart Cards ◽  
Transit Systems ◽  
Policy Makers ◽  
Individual Level ◽  
Predicting Behavior ◽  
Using Data

Many attempts have been made to derive insights and any useful information about the behavior of the passengers traveling using different data analytics approaches and techniques. The different ways the researchers have tried to model the travel behavior and also their attempt to measure the behavioral changes at an individual level will be discussed in this chapter. The insights derived using these methods can help policy makers and the authorities to make necessary and important changes to the railways. The transit systems of the Railways provide us with the data, which is analysed using different techniques and methodologies and derived insights from.

scholarly journals Methodological Issues in Studies of Cultural Legacies in Post-Socialist Russia’s Civil Society

2015 ◽  
Vol 6 (2) ◽  
pp. 145-165
Author(s):  
Anna Leskinen
Keyword(s):  
Civil Society ◽  
Empirical Research ◽  
The State ◽  
Social Scientists ◽  
Policy Makers ◽  
Individual Level ◽  
Theoretical Assumptions ◽  
Key Issues ◽  
Cultural Legacies ◽  
The Individual

AbstractThe state of civil society in post-socialist Russia and other former socialist countries is of great interest to social scientists, policy makers, and development-oriented practitioners. Numerous theoretical assumptions and methodological approaches have been used by researchers to describe, analyze, and assess the state of civil society in Russia, for example. One of the key issues addressed has been the influences on citizens’ civic and social activities and the historical conditions and cultural environments that have generated – and continue to generate – these activities. This critique focuses on the concept of “communist legacies” which has been applied at the individual level to explain people’s preferences, attitudes, and forms of behavior in Russia and other post-socialist countries. The concept is influential, in large part, because it has been supported by empirical research, especially the highly influential empirical research of Marc Howard. This paper takes a critical look at this research, including its theoretical frame and the methodology associated with the frame.

The Start of Team Start-Ups: Collective Dynamics of Initiation and Formation of Entrepreneurial Teams

2017 ◽  
Vol 25 (01) ◽  
pp. 31-66 ◽  
Author(s):  
Heidi Forsström-Tuominen ◽  
Iiro Jussila ◽  
Sanjay Goel
Keyword(s):  
Team Building ◽  
New Venture ◽  
Social Psychological ◽  
Policy Makers ◽  
Team Members ◽  
Individual Level ◽  
Study Approach ◽  
Multiple Case ◽  
The Individual ◽  
Start Ups

This study aims to describe and understand the start of team start-ups through answering why and how team entrepreneurship (TE) is initiated, how teams form, and what kinds of criteria are used in team building. While the above topics have been examined by many scholars, we aim to elaborate new insights into understanding the very first steps of initiating a new venture by an entrepreneurs’ collective. We employ a qualitative multiple-case study approach and analyze individual and group interview data from four high-technology team start-ups through inductive thematic analysis. We find that TE starts with an impetus established by a collective desire, collective value orientation, collective demand, and collective encouragement to TE. The impetus concretizes in coming together of team members where one or some need to take initiative to form the team, and search for members with specific criteria for membership that include not only technical but social-psychological dimensions. The study suggests that emergence of entrepreneurial opportunities at the collective-level might be distinctive from the individual-level. It contributes to researchers, prospective entrepreneurs, investors, policy-makers, and educators’ understanding of TE as a versatile and dynamic phenomenon where individual and group levels of analysis and technical and social-psychological aspects intertwine.

Cost and outcome: Comparisons of two alternative bypassing agents for persons with haemophilia A complicated by an inhibitor

2008 ◽  
Vol 99 (06) ◽  
pp. 1060-1067 ◽  
Author(s):  
Jan Astermark ◽  
Sharyne Donfield ◽  
Erik Berntorp ◽  
Katarina Carlsson
Keyword(s):  
Factor Viia ◽  
Sensitivity Analyses ◽  
Large Individual ◽  
Relative Prices ◽  
Individual Level ◽  
Trade Offs ◽  
Haemostatic Agents ◽  
Reduction Of Pain ◽  
Bypassing Agents ◽  
The Individual

SummaryThe development of inhibitory antibodies to factor VIII is a serious complication of haemophilia. Two haemostatic agents with different bypassing mechanisms have been used in the treatment of patients with inhibitors: activated prothrombin complex concentrate (aPCC) and recombinant factor VIIa (rFVIIa). The objective was to compare cost and outcome of aPCC and rFVIIa in the treatment of joint bleeds. The analyses were based on the FENOC (FEIBA NovoSeven Comparative Study) crossover study where 48 patients used aPCC and rFVIIa to treat two joint bleeds. Incremental cost-effectiveness ratios were calculated for three outcome measures and the variation in cost was analyzed using two alternative regression methods. Results were subjected to sensitivity analyses. Key determinants of cost were prescribed dose, bodyweight and treatment in addition to protocol.The cost of aPCC was on average lower than rFVIIa. At all but one time point, patients rated slightly higher (but not statistically significantly) percentages of treatment efficacy and stopping of the bleed by aPCC. The reported reduction in pain from start of treatment up to 48 hours varied considerably among individuals. The different relative prices in the US, Turkey and Sweden mattered, but did not reverse the main results. In conclusion, the cost per episode was significantly lower for aPCC. The large individual-level variation in reduction of pain supports decisions that consider the individual patient’s experience and that accept trade-offs between cost and reduction in pain rather than focusing on cost only.

scholarly journals Individual Versus Area Level Social Risk Measurement in the General French Population

2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
G Mercier ◽  
C Quantin ◽  
M McWilliams
Keyword(s):  
Secondary Education ◽  
General Purpose ◽  
Social Risk ◽  
Individual Data ◽  
French Population ◽  
Economic Data ◽  
Annual Household Income ◽  
Policy Makers ◽  
Individual Level ◽  
The Individual

Abstract Background Ongoing health policy changes include a move towards alternative delivery and payment models. In addition, the emphasis is put on social determinants as part of performance measurement and payment calibration. Most payers and policy makers rely on area-level socio-economic data, which can lead to sub-optimal. However, little is known about the agreement between individual and area-level variables. The objective was to assess the agreement between individual and area-level social risk variables in the general French population. Methods We used data from the CONSTANCES general-purpose cohort, a randomly selected representative sample of French adults aged 18-69 years. Data collected include socioeconomic and demographic characteristics, behaviors, and health data. We assessed the correlation or agreement between individual and area-level variables for 4 dimensions: household annual pretax income, secondary education completion, occupational group (workers), and unemployment. Results 115,263 individuals were included in the study, 53% female and aged 48 years on average. The median annual household income was 42,000 Euros (USD 50,400), 73% had completed secondary education, 7% were unemployed, and 9.3% were workers. The correlation between income measured at the individual and area level was positive but moderate (Rho=0.20; p < 0.01). Individuals having completed secondary education had a higher area-level median completion rate compared to those having a lower education level (48% versus 41%; p < 0.01). Unemployed individuals had a slightly higher area-level median unemployment rate compared to employed ones (11% versus 10%; p < 0.01). Lastly, workers had a higher area-level median probability to be a worker rate compared to other individuals ones (25% versus 18%; p < 0.01). Conclusions In the general French population, area-level socio-economic variables are poor proxies for individual-level social risk. Key messages Area-level socio-economic data is a poor proxy for individual data. Researchers and policy makers should move towards individual data.

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