Analysing spatial interdependence among the 2011 Thailand flood-affected small and medium enterprises for reduction of disaster recovery time period

The authors would like to acknowledge the continuous support and guidance of the colleagues and family members. The author would like to acknowledge the constant support and guidance from Anila Pathak, Nupur Chaturvedi, Meleana Chaturvedi and Aaryana Pathak. ORCID: 0000-0002-2750-8483 (Shubham Pathak).Natural disasters have been a significant hurdle in the economic growth of middle-income developing countries. Thailand has also been suffering from recurring flood disasters and was most which are severely affected during the 2011 floods. This paper aims to identify the various factors that impact the speed of disaster recovery among the Small and Medium Enterprises (SMEs) severely affected by the floods in Pathumthani province in central Thailand, and how it is related to its speed decision of neighbours SMEs. The methodology adopts a spatial econometric model, to analysis and understand each of the chosen factors' impact. The findings include the impact of disaster resilience, mitigation and planning at the SME level as well as the government level. The absence of accurate perception of actual risk, flood insurance and disaster management planning before the 2011 floods had contributed to the severity of the impacts during the 2011 floods

Estimation of Housing Price Variations Using Spatio-Temporal Data

This paper proposes a hedonic regression model to estimate housing prices and the spatial variability of prices overmultiple years. Using themodel, maps are obtained that represent areas of the city where there have been positive or negative changes in housing prices. The regression-cokriging (RCK)method is used to predict housing prices. The results are compared to the cokrigingwith external drift (CKED) model, also known as universal cokriging (UCK). To apply the model, heterotopic data of homes for sale at different moments in time are used. The procedure is applied to predict the spatial variability of housing prices in multi-years and to obtain isovalue maps of these variations for the city of Granada, Spain. The research is useful for the fields of urban studies, economics, real estate, real estate valuations, urban planning, and for scholars.This work was conducted within the framework of a research project granted by CEMIX-6/16 and financed by Banco Santander

Spatio-temporal hedonic model and variographic analysis of housing prices

En este trabajo se presenta un modelo para la interpretación de la variabilidad espacio-temporal del precio de la vivienda en la ciudad de Granada. Para ello, se ha utilizado una base de datos espacio-temporales del precio de la vivienda, elaborada a partir de muestras de corte transversal tomadas en diferentes años. El modelo se fundamenta en un análisis varigráfico de la autocorrelación espacio-temporal de la variable, precio de la vivienda, y de las principales características que influyen sobre éste, entre las que cabe destacar las características constructivas, la localización en el espacio urbano y el momento en el que se ofertó en el mercado inmobiliario.This paper presents a model for interpreting the spatio-temporal variability of the property price in the city of Granada. The database used has been built from sampling for different years. The model is based on spatio-temporal autocorrelation analysis of the variable, property price, and covariates such as house characteristics, location and selling time

Geostatistical modelling of a coal seam for resource risk assessment

The evaluation of a coal seam for profitable extraction requires the estimation of its thickness and quality characteristics together with the spatial variability of these variables. In many cases the only data available for the estimation are from a limited number of exploration and feasibility drill holes. Spatial variability can be quantified by geostatistical modelling, which provides the basis for estimation (kriging). In cases where the spatial variability of the seam thickness and quality characteristics has a significant impact on how the coal is extracted and stored, geostatistical simulation may be preferable to geostatistical kriging methods. The aim of this paper is to present an improved approach to resource risk assessment by propagating the uncertainty in semi-variogram model parameters into the spatial variability of coal variables. We show that a more realistic assessment of risk is obtained when the uncertainty of semi-variogram model parameters is taken into account. The methodology is illustrated with a coal seam from North-western Spain. © 2012 Elsevier B.V.E. Pardo-Igúzquiza, P.A. Dowd, J.M. Baltuille, M. Chica-Olm

Assessing Colombia's policy of socio-economic stratification: An intra-city study of self-reported quality of life

De acuerdo con la política de publicación de la revista, facilitamos la versión aceptada del artículo (Accepted Version, pathway b]This paper aims to analyse whether the Colombian government's classification of households into socio-economic strata accurately reflects the level of quality of life of households in Medellin. To this end, logit multilevel models and a novel graphic analysis were used. Our findings suggest that the stratification criteria currently used in Medellin should be revised. The socio-economic strata, which only consider the characteristics of the dwellings, streets and surrounding areas, explain approximately one-tenth of the variability in self-reported quality of life. When other economic and non-economic factors are considered, a different strata ranking for guiding public policies than that used in Medellin was estimated. Neighbourhood safety and personal safety are key drivers of quality of life, whereas higher consumption expenditure is most effective in the most disadvantaged strata.University of Medellin (Colombia), Project "Modelización Espacial de los Determinantes de la Calidad de Vida en los Hogares de Medellín", under the Grant code 881/2017

Modeling political mimetic isomorphism versus economic and quality factors in local government privatizations

Numerous studies have considered the economic impact and political influence of privatization. However, the theoretical approaches previously applied to model privatization, whether economic or political, have not obtained robust results. To address this question, we present a new political approach, based on mimetic isomorphism, which enables us to more accurately define the relationship between privatization, political theory and economic aspects. This new focus, termed political mimetic isomorphism, hypothesizes that the privatization of public services is influenced by an imitation effect between neighboring municipalities that share a common political ideology. In our study, this approach is applied, using geostatistical tools and logistic regression analysis with spatial variables, to a sample of municipalities that privatized their water and/or waste collection services during the period 2014–2019. The results obtained demonstrate the validity of the theoretical model of political mimetic isomorphism and show that this factor exerts a stronger influence on privatization than certain economic variables.Agencia de Innovación y Desarrollo de Andalucía, Grant/Award Number: P20_000605Ministerio de Ciencia e Innovación, Grant/Award Numbers: PID2021-128713OB-I00, MCIN/AEI/10.13039/501100011033/yporFEDERUnamaneradehacerEuropaUniversidad de Granada, Grant/Award Number: B-SEJ-476-UGR20Funding for openaccess charge, Grant/Award Number: UniversidaddeGranada/CBU

Do University Students’ Security Perceptions Influence Their Walking Preferences and TheirWalking Activity? A Case Study of Granada (Spain)

Data Availability Statement: The data presented in this study are available on request from the corresponding author. Data was obtained from own survey and are available with the permission of all authors.A sustainable city must be a safe place for its inhabitants when walking, with the absence of fear of crime being one of its main attributes. Although perceived insecurity is one of the main deterrents of walking activity, this relationship requires some clarification in environments which are walkable and safe, with low crime rates. This article contributes to the evidence for the influence of perceived security on walking activity and, as a novel aspect, also analyzes the effects of perceived security on walking as the preferred travel mode. In order to study this relationship, we use a method that combines non-linear principal component analysis (NLPCA) and a logit model (LM). The data are taken from a survey of university students carried out in the city of Granada. Results show that gender and perceived security have a greater effect on the choice of walking as the preferred travel mode, while location factors have significantly more weight in the explanation of the choice of walking as the most usual travel mode. These findings may be extended to other urban areas and can be of use for the implementation of urban policies aimed at designing the built environment to develop more sustainable citiesR+D+i ERDF B-SEJ-238-UGR2

Técnicas de teledetección aplicadas al estudio de los ríos Tinto y Odiel

En este trabajo se presentan los resultados del tratamiento de imágenes Landsat TM y ATM Daedalus-1268 dirigido a la caracterización de la calidad del agua y al estudio de la hidrodinámica del estuario de los ríos Tinto y Odiel. La metodología aplicada se basa en la correlación de los parámetros físico-químicos y biológicos del agua con los valores radiométricos de las imágenes. El tratamiento de imágenes Landsat TM ha permitido estudiar la hidrodinámica del estuario, obteniendo la zonificación del mismo atendiendo a su homogeneidad temporal. Asimismo, se han aplicado técnicas de regresión múltiple y geoestadísticas (Cokrigeaje) para estimar la distribución espacial de parámetros de calidad. A partir del procesamiento de las imágenes ATM se ha obtenido una primera aproximación del contenido en clorofila, y de la distribución de temperaturas en el estuario.In this work we present the results of the Landsat TM and Daedalus image processing focus on the characterization of the water quality and on the study of the estuary hydrodynamic of the Tinto and Odiel rivers. The applied methodology is based on the correlation between parameters of water quality and the radiometric values of the images. The processing of a image set has allowed us to study the estuary hydrodynamic, obtaining the estuariny zones according to the degree of temporal homogeneity. Also, multiple regression and geostatistic techniques (Cokriging) has been applied to estimate the spatial distribution of quality water parameters. The ATM Daedalus image processing has enable us to obtain a first approximation of the chlorophyll and temperature distribution in the estuary