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This chapter investigates how night-time light images acquired from the Defense Meteorological Satellite Program’s Operational Linescan System provide spatial and temporal insight into the economic impact of the disintegration of Yugoslavia. First, the chapter provides an overview of the economic development in Yugoslavia using conventional statistics, and second, it presents an analysis of the disintegration of the federation by comparing official statistics with night-time light data. Evaluating the impact of the disintegration of Yugoslavia as a federation and the conflicts arising in the wake of the break up is challenging since reliable data is missing. Therefore, satellite images, as one of the few sources of objective information, are potentially of great importance. We used yearly Operational Linescan System composites covering the period 1992–2013. The analysis is divided into small geographical units (districts) based on the republics in the former Yugoslavia.

This chapter contextualizes the interrelationships between tourism and climate change and thus provides an introduction to this volume. It commences with a brief but comprehensive overview of the key issues identified by climate change research, including an update since the 2007 report by the Intergovernmental Panel on Climate Change as well as a brief discussion of the latest rounds of climate change negotiations. The pursuing discussion is informed by these points and explores climate change's indirect and induced impacts on tourism and possible ramifications. Both of these parts highlight behavioral change as a critical factor to both adaptation and mitigation thus motivating the psychological contribution in an effort to shed light on the obstacles to behavioral change. In the concluding section, the chapter synthesizes the discussion grounded in multiple disciplines into a set of research themes that the volume subsequently begins to address.

To provide insight into the role and design of delivery services to address CO₂, NO _x , and PM₁₀ emissions from passenger travel.

A simulated North American data sample is served with three transportation structures: last-mile personal vehicles, local-depot-based truck delivery, and regional-warehouse-based truck delivery. CO₂, NO _x , and PM₁₀ emissions are modeled using values from the US EPA’s MOVES model and are added to an ArcGIS optimization scheme.

Local-depot-based truck delivery requires the lowest amount of vehicle miles traveled (VMT), and last-mile passenger travel generates the lowest levels of CO₂, NO _x , and PM₁₀. While last-mile passenger travel requires the highest amount of VMT, the efficiency gains of the delivery services are not large enough to offset the higher pollution rate of the delivery vehicle as compared to personal vehicles.

This research illustrates the clear role delivery structure and logistics have in impacting the CO₂, NO _x , and PM₁₀ emissions of goods transportation in North America.

This research illustrates tension between goals to reduce congestion (via VMT reduction) and CO₂, NO _x , and PM₁₀ emissions.

This chapter provides additional insight into the role of warehouse location in achieving sustainability targets and provides a novel comparison between delivery and personal travel for criteria pollutants.

This chapter examines the potential of solar energy for the development of sustainable tourism in Croatia. Tourism is an important economic activity in the Croatian economy due to the mild climate and many sunny days. Solar energy photovoltaic and thermal systems can help to support sustainable tourism, as well as increase employment and cooperation between local and national governments. This study compares best practices in solar energy for the Mediterranean countries of Italy, Spain, Cyprus, and Greece. The Mediterranean Basin is a strategic development area for the European Union, and solar energy will help to maintain its stability and high-quality standards of living.

Food waste (FW) is widely recognized as a serious threat to global food security, the economy, and the environment. FW is a major contributor to the three global crises of climate change, biodiversity loss, and pollution and waste because it complicates waste management systems and worsens the magnitudes of food insecurity. If it were a nation, food loss and waste would be the third-largest source of greenhouse gas (GHG) emissions as revealed by the Food Waste Index Report of 2021 by the United Nations Environment Program (UNEP). The growing countries in the South Asian region are not an exception to this major problem. Under this backdrop, the present study is aimed at investigating the long-term relationships as well as short-term causal interplays between FW and GHG emissions for the South Asian countries from 1990 to 2018. Employing time-series cointegration and Granger causality techniques, the results show that there is long-run relationship between these two variables in Afghanistan, Bangladesh, and Sri Lanka, and the results of the Granger causality test demonstrate that GHG is significantly influenced by FWs in Bangladesh, India, and the Maldives. So the governments in these countries should plan for minimizing the magnitudes of FWs so far as the goal of reaching sustainable development is concerned.