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The exponential growth in the number of visitors and the mass-tourism mobility patterns in natural areas are causing serious issues such as traffic congestion, crowding in car parks, pollution, high noise levels, and traffic accidents. In order to redress this situation, demand management policies that propose more sustainable transportation systems are crucial. In this chapter, the authors summarize extensive research carried out in Teide National Park (Canary Islands, Spain), the most visited national park in Spain, one of the most visited in the world, and a clear example of a natural area under pressure from mass tourism. The authors present the current situation of the natural site and three scientific contributions based on a survey combining revealed and stated preferences that analyzes visitor preferences with regard to the use of sustainable transportation systems. The first study analyzes visitors’ preferences regarding the implementation of a public bicycle-sharing system. The second study explores visitors’ willingness to pay to reduce the environmental impact of their visit and the potential implementation of a shuttle-bus service. The third study investigates the recreational economic value of the site. The chapter provides useful information for decision-makers who need to address problems associated with the unsustainable visitor mobility and reports results that can be extrapolated to other natural parks with similar characteristics and high inflow of tourists.

This project is part of a larger research program called The determinants of tourism, which is under way at Östersund university. The main ambition is to have researchers representing different disciplines cooperating around a central theme and using similar methods and approaches. The disciplines concerned are, so far, sociology, psychology, economics, human geography and informatics.

The purpose of this paper is to identify a list of underlying considerations in choosing the appropriate economic valuation method for use in the conservation of historic property and to highlight the importance of non‐use values in making decisions.

A thorough literature review is conducted to provide a concise overview of the most commonly used economic valuation methods in the cultural heritage field. The stated and revealed preference methods were analyzed. Their theoretical basis, methodology and analysis procedures are described. By highlighting the strengths and limitations of these evaluation methods for use in the different context, a list of underlying factors for choosing the appropriate method for different decision‐making problems in managing historic properties were deduced.

The underlying considerations in choosing the appropriate evaluation method in historic properties include “Matching the objectives ”, “Evaluate use or non‐use values ”, “Scope of evaluation ”, “availability of data”, “Time and cost of conducting the methods”, “Methodological procedures”, “Analysis of the methods”, and “Local contexts where the techniques will be applied”.

The long‐term significance of this study is to enhance a holistic understanding of the quantitative approach to evaluate the value of historic properties. This enhanced understanding should help to inform the decision‐makings on comparing and prioritizing the management of heritage facilities when confronted with limited resources.

The purpose of this paper is to examine producer preferences for changing Farm Animal Welfare (FAW) levels in regards to sheep and goat husbandry in Bursa-Turkey.

The paper tests “panel estimators” in a stated preference data by using the payment card question format. Probit panels are employed to measure individual effects on FAW levels by considering producers’ willingness to accept. Three different FAW levels were identified for valuation as “base” level, “better” level, and the “best” level. The current study suggests a protocol with WTA(P) nomenclature to resolve complexity issues in FAW studies by investigating producers rather than consumers because the scenarios regarding FAW levels include quite technical and difficult topics which are vague to consumers.

If half of the total number of the sheep and goats in Turkey are assumed to be in bad animal welfare conditions, which are worse than base level, the non-use benefits of bringing them to at least the base level would be about US$130.3m. Figures would be 166.2m US$/year and 175m US$/year for “better” and “best” FAW conditions, respectively.

This paper provides a contribution to the existing literature by examining the producers’ responses to new FAW schemes. Also it helps policy makers to understand producers’ environmental behavior as well as their sensitivity to FAW schemes.

There is extensive evidence that decision-makers, faced with increasing information load, may simplify their choice by reducing the amount of information to process. One simplification, commonly referred to as attribute non-attendance (ANA), is a reduction of the number of attributes of the choice alternatives. Several previous studies have identified relationships between varying information load and ANA using self-reported measures of ANA. This chapter revisits this link, motivated by recognition in the literature that such self-reported measures are vulnerable to reporting error.

This chapter employs a recently developed modelling approach that has been shown to effectively infer ANA, the random parameters attribute non-attendance (RPANA) model. The empirical setting systematically varies the information load across respondents, on a number of dimensions.

Confirming earlier findings, ANA is accentuated by an increase in the number of attribute levels, and a decrease in the number of alternatives. Additionally, specific attributes are more likely to not be attended to as the total number of attributes increases. Willingness to pay (WTP) under inferred ANA differs notably from when ANA is self-reported. Additionally accounting for varying information load, when inferring ANA, has little impact on the WTP distribution of those that do attend. However, due to varying rates of non-attendance, the overall WTP distribution varies to a large extent.

This is the first examination of the impact of varying information load on inferred ANA that is identified with the RPANA model. The value lies in the confirmation of earlier findings despite the evolution of methodologies in the interim.

This chapter chronicles the evolution of Russian academic practices that are designed to support all students in one educational environment. It draws on Russia’s time-honored practices and includes the contemporary global push toward inclusive settings. This dialogue examines the theories that lay the foundation for Russia’s inclusive transformation. The method of examination for this descriptive qualitative work is a general review of historical educational legislation. The objective is to examine the barriers to inclusion as well as to provide a description of best practices and guiding principles. This historical discussion addresses the foundation of education and builds a context for educators to view the process of embracing inclusion. In this chapter, language, parental views and educational practices are all assessed to comprehend the Russian social nuances that impact change.

The purpose of this study is to explore the dynamics of critical thinking for informed action within the frame of six sample US states’ Kindergarten-5 social studies content standards.

This study used quantitative content analysis. In addition to describing how the states’ standards present critical thinking for informed action, four variables were included: the enrollment weight of the states, textbook adoption status to advance standards, summative test status for social studies and grade levels.

The results indicate complex variations in context-based critical thinking levels are required by the sample states’ content standards with an extensive orientation toward superficial contextual thinking.

The study provides a new lens with which to make sense of students’ context-based critical thinking, as it relates to the expectations found in standards. It discusses the implications of the states’ K-5 standards on engaging students in critical thinking.

Single males and females are an under-studied segment of grocery shoppers. This study aims to compare the shopping habits of single males with single females and couples.

Structural equation modeling is used to analyze purchase history data for testing the effect of household type on shopping trip metrics and budget allocation to product categories.

Although single male shoppers differ on some trip metrics from females, differences are more pronounced between single shoppers, male or female, and couples. The study also confirms the mediating effect of trip metrics on the relationship between demographics and allocation of budget to grocery product categories.

The study contributes to the literature by identifying the differences and similarities between shopping behaviors of single males, single females and couples, developing an understanding of their budget allocation decisions to different product categories and testing and confirming that trip characteristics mediate the relationship between demographics and budget allocated to grocery products.