The geographical stability of a typical trip production model: Applications of national and local data in four urban areas

1978 ◽  
Vol 7 (2) ◽  
Author(s):  
C.P. Hayfield ◽  
R.B. Stoker
2010 ◽  
Vol 16 (1) ◽  
pp. 25-49 ◽  
Author(s):  
ALEBEL B. WELDESILASSIE ◽  
ELINE BOELEE ◽  
PAY DRECHSEL ◽  
STEPHAN DABBERT

ABSTRACTUsing stream water polluted with untreated wastewater in agriculture is controversial due to its combination of benefits and negative health impacts. Using data from a household survey, ‘wastewater’ and ‘freshwater’ farmers were analysed comparatively to examine the perceived impacts of irrigation water quality on farmers' health and to evaluate the extent of health damage. Probability of illness was estimated using the theory of utility-maximising behaviour of households subject to the conventional farm household production model, augmented by adding a health production function. Reduced model and instrumental variable probit specifications both show that perceived illness prevalence is significantly higher for household members working on wastewater irrigation farms than for those working with freshwater. Our data entails econometric complications (e.g., endogeneity of farmers' behaviour, unobserved location-specific characteristics). Ignoring these will result in underestimation of the value of policy interventions designed to reduce potential health damage of wastewater use in irrigation.


Author(s):  
Glen Weisbrod ◽  
Don Vary ◽  
George Treyz

Key findings are provided from NCHRP Study 2-21, which examined how urban traffic congestion imposes economic costs within metropolitan areas. Specifically, the study applied data from Chicago and Philadelphia to examine how various producers of economic goods and services are sensitive to congestion, through its impact on business costs, productivity, and output levels. The data analysis showed that sensitivity to traffic congestion varies by industry sector and is attributable to differences in each industry sector's mix of required inputs and hence its reliance on access to skilled labor, access to specialized inputs, and access to a large, transportation-based market area. Statistical analysis models were applied with the local data to demonstrate how congestion effectively shrinks business market areas and reduces the "agglomeration economies" of businesses operating in large urban areas, thus raising production costs. Overall, this research illustrates how it is possible to estimate the economic implications of congestion, an approach that may be applied in the future for benefit-cost analysis of urban congestion-reduction strategies or for development of congestion pricing strategies. The analysis also shows how congestion-reduction strategies can induce additional traffic as a result of economic benefits.


Author(s):  
Paweł Siemiński ◽  
Jakub Hadyński ◽  
Walenty Poczta

The aim of this paper is to estimate, as well as analyse and assess spatial diversification in human capital resources in rural and urban areas of Poland. Studies have static nature and relate to the state of the situation in 2018 year. A synthetic index of human capital resources (IHCR) was applied, based on which a hierarchy was developed for rural and urban areas, depending on the administrative division into provinces determining the degree of their diversification in terms of their human capital resources. Human capital resources were analysed in four categories, i.e. in terms of employment, education, entrepreneurship and unemployment, using data from the Local Data Bank CSO database. Research results indicate considerable regional (spatial) diversification of rural and urban areas. We may distinguish two homogeneous classes, including urban areas with a high level of human capital development, as well as rural areas with their low level. Moreover, there is a heterogeneous group of the so-called medium level of human capital, composed of both urban and rural areas. Particularly, observed polarization in human capital resources may in the future reduce the absorption of development impulses within both national and EU development policies.


2020 ◽  
Vol 2 (3) ◽  
pp. 28-32
Author(s):  
Samir Mehtiyev

The transport traffic is known to be the major reason for air pollution in urban areas. Two pollutants should be considered with attention: the particles with diameter of less than 10 microns (PM10) and carbon monoxide. The paper discusses application of time-series and geographical studies to the investigation of air pollution health effects as well as attempts to estimate potential health impact of restriction traffic in the center of Baku by 25% based on local data published in 2012(4) and 2013(5). Time-series studies investigate association between short-term variations in air pollution levels and health events counts. Confounding factors that change slowly over the time do not introduce much distortion for the association in question as population is used as its own control. Geographical studies aimed at investigation of association between long-term exposure to air pollution and chronic health outcomes. They are known to be prone to confounding because they compare populations from different locations. The evidence of air pollution effects from time-series and geographical studies is complementary. The problem of traffic air pollution is being intensified with each year and becomes one of the main public health priorities in Baku. Assuming that the results of six cities study (3) can be generalized to Baku the total number of preventable annual deaths should be around 419 in case of restriction traffic in the center of Baku by 25%. For the low border of 95%CI the result is as much as 153. Despite uncertainties in assumptions the produced evidence fully justifies the proposed intervention.


Author(s):  
Sachi Ojha ◽  
Shitanshu Srivastava ◽  
Pratibha Gupta ◽  
Divyanshu Agrawal

Background: Breastfeeding is the ideal source of nutrition for first six month of life which is globally recognised. There are various advantages of optimal breastfeeding but still breastfeeding rates in Uttar Pradesh is only 56%. This might be attributed to various social, cultural and economical factors. Since there is limited local data on the knowledge, attitudes and practices of women toward breastfeeding. hence, we planned this study to assess knowledge, attitude and practices (KAP) of mothers regarding breastfeeding and influence of sociodemographic profile on them.Methods: A cross sectional study was conducted on 200 mothers coming to the rural and urban areas of a district with infants between 0-6 months. The data was collected using a predesigned questionnaire based on KAP about breastfeeding. The data was analyzed using (SPSS) version 21.0.Results: Our study shows that regarding knowledge of breastfeeding, in rural group 42% considered colustrum as first breast milk. In contrast in urban group, 63% were aware that it was first breast milk (p=0.003). Regarding practices, 56% of rural women had started breastfeeding within one hour while only 38% of urban women did the same (p=0.011). Regarding attitude, 77% women of urban area agreed regarding goodness of colostrum for health followed by 48% of rural women (p≤0.001). Most of the women agreed to the belief that a baby should burp after feeding (94% rural and 91% urban).Conclusions: The Gap between KAP regarding breastfeeding exists in rural and urban setups. So, proper stratgies should be planned depending on socio-demographic profile. 


2021 ◽  
Vol 6 ◽  
Author(s):  
Tara L. Maudrie ◽  
Kerry Hawk Lessard ◽  
Jessica Dickerson ◽  
Kevalin M. W. Aulandez ◽  
Allison Barlow ◽  
...  

The COVID-19 pandemic has raised national consciousness about health inequities that disproportionately impact American Indian/Alaska Native (AI/AN) communities, yet urban AI/AN communities continue to remain a blind spot for health leaders and policymakers. While all United States cities have been the traditional homelands of AI/AN peoples since time immemorial, urban AI/ANs are consistently excluded in local and national health assessments, including recent reports pertaining to COVID-19. Today the majority of AI/ANs (71%) live in urban areas, and many cities have strong Urban Indian Health Programs (UIHPs) that provide space for medical care, community gatherings, cultural activities, and traditional healing. Many of these UIHPs are currently scrambling to meet the needs of their AI/AN service communities during the pandemic. While the COVID-19 pandemic brought new sources of funding to UIHPs, the lack of local AI/AN data and arbitrary funding restrictions precluded some UIHPs from addressing their communities’ most immediate challenges such as food and economic insecurities. Despite these challenges, urban AI/AN communities carry the historical resilience of their ancestors as they weave strong community networks, establish contemporary traditions, and innovate to meet community needs. This article focuses on the experiences of one UIHP in Baltimore City during the COVID-19 pandemic to illustrate present-day challenges and strengths, as well as illuminate the urgency for tailored, local data-driven public health approaches to urban AI/AN health.


Urban Science ◽  
2019 ◽  
Vol 3 (2) ◽  
pp. 53
Author(s):  
Barry P. Young

As the world’s largest urban regions continue to expand, a concomitant rise in non-communicable diseases, particularly type 2 diabetes, poses an increasingly ominous challenge to experts in the field of public health. Given that the majority of the world’s population (54%) resides in urban areas, a figure likely to reach two-thirds by 2050, this issue presents serious implications for medical practitioners as well as policymakers seeking to manage long-term healthcare costs while sustaining historic increases in life expectancy. To explore how these trends are continuing to affect the United States, a multiple regression analysis was conducted using data provided by the Centers for Disease Control and Prevention (CDC) through their initiative, 500 Cities: Local Data for Better Health. The regression models revealed that larger cities reported significantly higher rates of type 2 diabetes even after controlling for variables that have been perennially linked to disease onset (e.g., levels of obesity, sedentary behavior). Implications are discussed, most notably the argument for moving beyond the ‘food desert’ paradigm when identifying and explaining which characteristics of larger cities place their residents at increased risk. This approach could help reveal opportunities for intervention that may not have garnered sufficient attention in the extant literature.


2018 ◽  
Vol 162 ◽  
pp. 03024
Author(s):  
Haifaa Husein ◽  
Oday Jasim ◽  
Saja Mahmood

The digital technologies represented by digital processing programs, local data bases and satellite receivers system is a set of technologies made to organize the process of building descriptive field database, and conveying them to computers, in order to store, analyze and manifest data as well as upgrade and extract it in the form of digital maps, which represent an asset in any engineering and planning study. For a variety of types of mixed land uses and others land uses in the urban city, which cause great difficulty in how to build spatial Geodatabase in terms of frequency of the land use and overlap between land uses, the paper will find the proposed standard Geomatics techniques to get rid of these difficulties. The paper will tackle the engineering and survey methods which could reinforce manifestation of uses of logical database in urban areas. Lastly, the research concludes that relying on important field survey and digital references in preparing suggested criteria for field uses, in addition to the recommendations provided in this field for the post graduate and undergraduate students as well governmental specialized departments.


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