Activity and Travel Changes of Users of Job Access Transportation Service

Author(s):  
Piyushimita (Vonu) Thakuriah ◽  
P. S. Sriraj ◽  
Siim Sööt ◽  
Yihua Liao ◽  
Joost Gideon Berman

The Job Access and Reverse Commute (JARC) program of the FTA provides funding to improve the access to and from jobs for welfare recipients and low-income individuals. The objective of the study was to develop a comprehensive profile of JARC service riders on several economic, social, perceptual, and travel-related indicators on the basis of a data set that was collected by the authors from riders of fixed-route and demand-responsive services in 23 locations across the country that were funded by this program. The economic indicators considered include incomes of riders, full-and part-time work status, employment tenure, reported changes in employment status (transitioning from unemployment to employment), and changes in wages incurred after using the service. Social indicators include vehicle ownership, driver's license, and educational attainment. Where possible, JARC service riders were compared with a national sample of automobile and transit users; the data for these measures were obtained from the decennial census. Two measures of perceived service dependency that indicate the importance of the service to the riders are discussed. In addition, a profile of travel-related changes incurred by riders as a result of service use is developed, including changes in mode of travel and travel times. Many of these indicators are differentiated on the basis of type of area and type of service. This analysis brings a user perspective into the discussion about low-income employment transportation services and highlights the diversity of impacts that job access transportation is having on the work and nonwork activities of low-income riders.

2017 ◽  
Vol 55 (4) ◽  
pp. 376-389 ◽  
Author(s):  
Alice Huguet ◽  
Caitlin C. Farrell ◽  
Julie A. Marsh

Purpose The use of data for instructional improvement is prevalent in today’s educational landscape, yet policies calling for data use may result in significant variation at the school level. The purpose of this paper is to focus on tools and routines as mechanisms of principal influence on data-use professional learning communities (PLCs). Design/methodology/approach Data were collected through a comparative case study of two low-income, low-performing schools in one district. The data set included interview and focus group transcripts, observation field notes and documents, and was iteratively coded. Findings The two principals in the study employed tools and routines differently to influence ways that teachers interacted with data in their PLCs. Teachers who were given leeway to co-construct data-use tools found them to be more beneficial to their work. Findings also suggest that teachers’ data use may benefit from more flexibility in their day-to-day PLC routines. Research limitations/implications Closer examination of how tools are designed and time is spent in data-use PLCs may help the authors further understand the influence of the principal’s role. Originality/value Previous research has demonstrated that data use can improve teacher instruction, yet the varied implementation of data-use PLCs in this district illustrates that not all students have an equal opportunity to learn from teachers who meaningfully engage with data.


BMJ Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. e041870
Author(s):  
Tiara Marthias ◽  
Kanya Anindya ◽  
Nawi Ng ◽  
Barbara McPake ◽  
Rifat Atun ◽  
...  

ObjectivesTo examine non-communicable diseases (NCDs) multimorbidity level and its relation to households’ socioeconomic characteristics, health service use, catastrophic health expenditures and productivity loss.DesignThis study used panel data of the Indonesian Family Life Survey conducted in 2007 (Wave 4) and 2014 (Wave 5).SettingThe original sampling frame was based on 13 out of 27 provinces in 1993, representing 83% of the Indonesian population.ParticipantsWe included respondents aged 50 years and above in 2007, excluding those who did not participate in both Waves 4 and 5. The total number of participants in this study are 3678 respondents.Primary outcome measuresWe examined three main outcomes; health service use (outpatient and inpatient care), financial burden (catastrophic health expenditure) and productivity loss (labour participation, days primary activity missed, days confined in bed). We applied multilevel mixed-effects regression models to assess the associations between NCD multimorbidity and outcome variables,ResultsWomen were more likely to have NCD multimorbidity than men and the prevalence of NCD multimorbidity increased with higher socioeconomic status. NCD multimorbidity was associated with a higher number of outpatient visits (compared with those without NCD, incidence rate ratio (IRR) 4.25, 95% CI 3.33 to 5.42 for individuals with >3 NCDs) and inpatient visits (IRR 3.68, 95% CI 2.21 to 6.12 for individuals with >3 NCDs). NCD multimorbidity was also associated with a greater likelihood of experiencing catastrophic health expenditure (for >3 NCDs, adjusted OR (aOR) 1.69, 95% CI 1.02 to 2.81) and lower participation in the labour force (aOR 0.23, 95% CI 0.16 to 0.33) compared with no NCD.ConclusionsNCD multimorbidity is associated with substantial direct and indirect costs to individuals, households and the wider society. Our study highlights the importance of preparing health systems for addressing the burden of multimorbidity in low-income and middle-income countries.


2020 ◽  
Vol 12 (1) ◽  
Author(s):  
Christine Eisenmann ◽  
Felix Steck ◽  
Lars Hedemann ◽  
Barbara Lenz ◽  
Florian Koller

Abstract Background The introduction of a carbon tax on passenger transport is currently being discussed in Germany. Various stakeholders favour a consumption-based, revenue-neutral carbon tax with a uniform lump-sum offset for private households and a tax rate of 40 € per ton of CO2. Objective In this study, we examine the distributional effects of carbon taxation for the German passenger transport sector under the assumption of the proposed tax model. We discuss as to what extent which socioeconomic groups would be burdened and who might even benefit from carbon taxation. To answer these questions we use a uniquely modelled data set that encompasses all forms of passenger transport (i.e. in Germany and abroad) of the German resident population over 1 year. The national household travel survey Mobility in Germany 2017 is the basis of the microscopic data set. We derive annual CO2 emissions and carbon tax burdens for various population groups using the data on passenger transport, as well as specific emission factors. Results Results show that low income households, retirees, single parents and family households with two or more children would benefit from the proposed carbon taxation scheme due to below-average emissions per person; in contrast, working age households without children and car owners with heavy car use would be burdened. Our results are of particular relevance to transport researchers, transport politicians and decision makers as a basis for designing, developing and introducing a carbon taxation scheme.


Water ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 499
Author(s):  
Salmatta Ibrahim A ◽  
Fayyaz Ali Memon ◽  
David Butler

Ensuring a sustainable urban water supply for developing/low-income countries requires an understanding of the factors affecting water consumption and technical evidence of individual consumption which can be used to design an improved water demand projection. This paper compared dry and rainy season water sources available for consumption and the end-use volume by each person in the different income groups. The study used a questionnaire survey to gather household data for a total of 398 households, which was analysed to develop the relationship between per capita water consumption characteristics: Socio-economic status, demographics, water use behaviour around indoor and outdoor water use activities. In the per capita water consumption patterns of Freetown, a seasonal variation was found: In the rainy season, per capita water consumption was found to be about 7% higher than the consumption for the full sample, whilst in the dry season, per capita water consumption was almost 14% lower than the full survey. The statistical analysis of the data shows that the average per capita water consumption for both households increases with income for informal slum-, low-, middle- and high-income households without piped connection (73, 78, 94 and 112 L/capita/day) and with connection (91, 97, 113 and 133 L/capita/day), respectively. The collected data have been used to develop 20 statistical models using the multiple linear stepwise regression method for selecting the best predictor variable from the data set. It can be seen from the values that the strongest significant relationships of per capita consumption are with the number of occupants (R = −0.728) in the household and time spent to fetch water for use (R = −0.711). Furthermore, the results reveal that the highest fraction of end use is showering (18%), then bathing (16%), followed by toilet use (14%). This is not in agreement with many developing countries where toilet use represents the largest component of indoor end use.


Author(s):  
Yuping Tsai ◽  
Megan C. Lindley ◽  
Fangjun Zhou ◽  
Shannon Stokley
Keyword(s):  

2018 ◽  
Vol 32 (6) ◽  
pp. 837-859
Author(s):  
Sangeetha Madhavan ◽  
Shelley Clark ◽  
Yuko Hara

In most contexts, emotional support is crucial for the well-being of low-income single women and their children. Support from women may be especially important for single mothers because of precarious ties to their children’s fathers, the prevalence of extended matrifocal living arrangements, and gendered norms that place men as providers of financial rather than emotional support. However, in contexts marked by economic insecurity, spatial dispersion of families, and changing gender norms and kinship obligations, such an expectation may be problematic. Applying theories of emotional capital and family bargaining processes, we address three questions: What is the gender composition of emotional support that single mothers receive? How does gender composition change over time? Does the gender composition of emotional support affect the self-reported stress of single mothers? Drawing on data from a unique data set on 462 low-income single mothers and their kin from Nairobi, Kenya, we uncover three key findings. One, whereas the bulk of strong emotional support comes from female kin, about 20 percent of respondents report having male-dominant support networks. Two, nearly 30 percent of respondents report change favoring men in the composition of their emotional support over six months. Three, having a male-dominant emotional support network is associated with lower stress. These results challenge what is commonly taken for granted about gender norms and kinship obligations in non-Western contexts.


2020 ◽  
Vol 9 (3) ◽  
pp. 103
Author(s):  
Hacer Simay Karaalp-Orhan

Economic development, for any country, is one of the most important objectives to be achieved. However, development cannot be realized in all regions and provinces of a county at the same time and speed. Turkey also struggles against a persistent economic development problem among regions in east-west and coast-inland for many years. This study aims to analyze the regional inequalities in Turkey under the scope of economic, demographic and social indicators from 2007 to the latest data. The results indicate that TR-10 Istanbul is the engine region of Turkey in terms of industrialization and development with the highest contribution (31%) based on service and industry sectors, to the gross value added. Other industrialized regions are the Aegean region where localization economies mainly dominated and the East Marmara and TR51-Ankara regions where urbanization economies operated in. Agricultural activities heavily concentrated in Aegean, Antalya, Konya and Şanlıurfa regions. In these regions, participation in the labour market is also very high. However, the highest income inequality and poverty is also found in TR10, TR62 and TR21 regions. The less developed region is the Southeast Anatolian region in terms of low income, education, health and high unemployment, young population and immigration rates. Keywords: Regional disparities, regional development, socio-economic indicators, Turkey


2015 ◽  
Vol 146 ◽  
pp. e118-e119
Author(s):  
Sonya Gabrielian ◽  
Anita H. Yuan ◽  
Ronald Andersen ◽  
Lisa Rubenstein ◽  
Lillian Gelberg

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