Mapping and hazard assessment of atmospheric pollution in a medium sized urban area using the Rasch model and geostatistics techniques

Moral, Francisco J.; Álvarez, Pedro; Canito, José Luis

doi:10.1016/j.atmosenv.2005.10.054

Cited by 26 publications

(14 citation statements)

References 13 publications

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“…With the aim of considering and summarizing data from different variables, the Rasch model has been used successfully in some environmental applications (e.g., Moral et al, 2006). However, despite the useful information it can generate, this technique had not been used in agronomic or soil research until the work of Moral et al (2011), in which different management zones were delimited in an experimental field taking into account the formulation of the Rasch model with the aim of integrating soil textural and ECa data into an overall variable.…”

Section: Introductionmentioning

confidence: 99%

Analysis of soil fertility and its anomalies using an objective model

Moral

Rebollo

Terrón

2012

Z. Pflanzenernähr. Bodenk.

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In this work, the use of an objective method, the formulation of the Rasch measurement model, which synthesizes data with different units into a uniform analytical framework, is considered to get representative measures of soil fertility potential in an experimental field. Thus, two types of information about the soil were obtained from soil samples taken at 70 locations: first, the textural components were determined, and, secondly, deep (ECa-90) and shallow (ECa-30) soil apparent electrical conductivity, approximately 0-90 and 0-30 cm depths, respectively, were measured. A latent variable, denominated soil fertility potential, was defined. It is supposed, and later it is verified, that all soil properties previously indicated have a marked influence on the latent variable. The adequate assignment of categorical values across properties measures and the good fit of the data are checked as a previous phase to properly compute the Rasch measures. After applying the Rasch methodology, it was obtained that both electrical conductivities are the most influential properties on soil fertility potential, getting moreover a ranking of all soil samples according to their fertility potential and the unexpected behaviors, called misfits, of some soil samples, which constitute a very useful information to better match soil and crop requirements as they vary in the field, being a rational basis for a site-specific crop management.

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Section: Introductionmentioning

confidence: 99%

Analysis of soil fertility and its anomalies using an objective model

Moral

Rebollo

Terrón

2012

Z. Pflanzenernähr. Bodenk.

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“…Self‐reported data from holders of cash and of noncash payment instruments in Taiwan are used. The Rasch model is a unidimensional measurement scale that measures raw data based on respondent ability and task difficulty as well as provides reliable and valid results for a small sample size (Jackson et al ., ; Moral et al ., ).…”

Section: Introductionmentioning

confidence: 97%

Lottery Payment Cards: A Study of Mental Accounting

Yang

2015

Intell. Sys. Acc. Fin. Mgmt.

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This study analyses the difficulties of using stored-value cards for noncash payment adoption and payment framing behaviour development. This study applies the Rasch model via mental accounting theory to identify unobservable and latent difficulties in adopting noncash payment instruments for lottery participation. Anonymity, a reduction in cash carrying, and convenient purchases have discouraged noncash payment adoptions. However, consumers prefer stored-value cards because they are easy to carry and reduce payment time and long waits. Consumers also develop payment framing behaviour difficulties from crediting up to the maximum stored value and fear of insufficient cash, with preferences for period purchases. Lower income significantly discourages noncash payment adoption and payment framing behaviour development, whereas being of a younger age causes significant payment framing difficulties. Regional variations differ in convenience, anonymity, stored value, balance checking, and indirect donations. The moderating effect between income and age also positively significantly influences noncash payment adoption and payment framing behaviour. payment cards may dominate the successful adoption of payment cards (Humphrey, 2010). However, latent or unobservable difficulties stemming from psychological judgments on cash and noncash payments that cause preliminary obstacles in adopting noncash payment instruments are sparsely discussed. In this study, I examine the hidden difficulties in adopting noncash payment instruments via mental accounting theory. The Rasch model is applied to analyse the difficulties of noncash payment adoption to forecast technology diffusion and saving behaviour, as well as to examine the possible social impact and changes. Self-reported data from holders of cash and of noncash payment instruments in Taiwan are used. The Rasch model is a unidimensional measurement scale that measures raw data based on respondent ability and task difficulty as well as provides reliable and valid results for a small sample size (Jackson et al., 2002;Moral et al., 2006).It is determined that consumers prefer stored-value cards and adopt saving behaviour because of anonymity, reduced cash carrying, convenience, maximum stored values, periodic purchases, and the absence of fear of insufficient cash at point of sale. However, stored-value cards are perceived as difficult to carry and incapable of reducing payment and wait times. The difficulties of using stored-value cards with respect to saving features include the inability to increase indirect donation, crediting small prize amounts, and using a card without an expiration date.Having lower income significantly discourages noncash payment adoption and saving behaviour development, whereas being of younger age significantly causes difficulties in the latter. However, gender, marital status, education, and older age indicate negligible difficulties related to noncash payment adoption and saving behaviour development. Regional variations result in significant difficu...

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“…Recently, the Rasch model has been proposed as a technique to obtain a measure of atmospheric pollution considering several individual pollutants [8] and it has been also used to consolidate several measures of ozone levels into an overall variable to simplify the interpretation of ambient ozone in a medium-sized urban area [9]. With the formulation of the Rasch model as a measure technique [10], more information can be obtained than using the aforementioned methods.…”

Section: Introductionmentioning

confidence: 99%

Modeling of Atmospheric Pollution in Urban and Rural Sites Using a Probabilistic and Objective Approach

et al. 2019

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Atmospheric pollution is affected by different individual pollutants (IP) and climatic factors (CF). In this work, the formulation of the Rasch model is proposed to get representative measures of atmospheric pollution in two urban locations, Badajoz and Cáceres, and one rural site, the Monfragüe Park (Southwest Spain). After applying the Rasch methodology, the ranking of all days was obtained according to their atmospheric pollution level and the influence on the environmental deterioration of each IP and CF (NO2, NO, SO2, O3, CO, benzene, PM10, precipitation, relative humidity, solar radiation, air temperature, and barometric pressure). The most influential items on atmospheric pollution are the O3 and the CF, mainly the lack of precipitation and those related to ozone generation (air temperature and solar radiation). Other IP exert a lower influence at both urban locations, being irrelevant at the Monfragüe Park. Unexpected behaviors of the CF or IP can be also analyzed.

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Mapping and hazard assessment of atmospheric pollution in a medium sized urban area using the Rasch model and geostatistics techniques

Cited by 26 publications

References 13 publications

Analysis of soil fertility and its anomalies using an objective model

Analysis of soil fertility and its anomalies using an objective model

Lottery Payment Cards: A Study of Mental Accounting

Modeling of Atmospheric Pollution in Urban and Rural Sites Using a Probabilistic and Objective Approach

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