One of the key components of international development is to provide adequate shelter for citizens of developing countries. This is often accomplished by governmental, non- governmental, and private organizations that seek to lower the cost, increase the quality, and expand the availability of safe, sustainable housing through the use of innovative technologies. These new technologies can affect the social and/or economic structure within communities. This paper is a case study resulting from the construction of a seventy-one-home village, including infrastructure, near Yogyakarta, Indonesia by a foreign, aid-based non-governmental organization (NGO). The village was relocated less than two kilometers from its original site after a massive landslide, triggered by the 2006 earthquakes of Central Java, virtually destroyed the entire community. Four years after construction the researcher took an inductive inquiry approach through interviews with residents of the community and residents of neighboring communities to understand the social and economic impacts. The research project explored the unintended consequences to the community resulting from the NGO's use of innovative housing technologies (steel reinforced concrete domes and planned community development) without a thorough understanding of underlying community culture and interactions.

The overall goals of this dissertation are to investigate the sustainability of the built environment, holistically, by assessing its Triple Bottom Line (TBL): environmental, economic, and social impacts, as well as propose cost-effective, socially acceptable, and environmentally benign policies using several decision support models. This research is anticipated to transform life cycle assessment (LCA) of the built environment by using a TBL framework, integrated with economic input-output analysis, simulation, and multicriteria optimization tools. The major objectives of the outlined research are to (1) build a system-based TBL sustainability assessment framework for the sustainable built environment, by (a) advancing a national TBL-LCA model which is not available for the United States of America; (b) extending the integrated sustainability framework through environmental, economic, and social sustainability indicators; and (2) develop a systembased analysis toolbox for sustainable decisions including Monte Carlo simulation and multi-criteria compromise programming. When analyzing the total sustainability impacts by each U.S. construction sector, “Residential Permanent Single and Multi-Family Structures" and "Other Non-residential Structures" are found to have the highest environmental, economic, and social impacts compared to other construction sectors. The analysis results also show that indirect suppliers of construction sectors have the largest sustainability impacts compared to onsite activities. For example, for all U.S. construction sectors, on-site construction processes are found to be responsible for less than 5 % of total water consumption, whereas about 95 iv % of total water use can be attributed to indirect suppliers. In addition, Scope 3 emissions are responsible for the highest carbon emissions compared to Scope 1 and 2. Therefore, using narrowly defined system boundaries by ignoring supply chain-related impacts can result in underestimation of TBL sustainability impacts of the U.S. construction industry. Residential buildings have higher shares in the most of the sustainability impact categories compared to other construction sectors. Analysis results revealed that construction phase, electricity use, and commuting played important role in much of the sustainability impact categories. Natural gas and electricity consumption accounted for 72% and 78% of the total energy consumed in the U.S. residential buildings. Also, the electricity use was the most dominant component of the environmental impacts with more than 50% of greenhouse gases emitted and energy used through all life stages. Furthermore, electricity generation was responsible for 60% of the total water withdrawal of residential buildings, which was even greater than the direct water consumption in residential buildings. In addition, construction phase had the largest share in income category with 60% of the total income generated through residential building’s life cycle. Residential construction sector and its supply chain were responsible for 36% of the import, 40% of the gross operating surplus, and 50% of the gross domestic product. The most sensitive parameters were construction activities and its multiplier in most the sustainability impact categories. v In addition, several emerging pavement types are analyzed using a hybrid TBL-LCA framework. Warm-mix Asphalts (WMAs) did not perform better in terms of environmental impacts compared to Hot-mix Asphalt (HMA). Asphamin® WMA was found to have the highest environmental and socio-economic impacts compared to other pavement types. Material extractions and processing phase had the highest contribution to all environmental impact indicators that shows the importance of cleaner production strategies for pavement materials. Based on stochastic compromise programming results, in a balanced weighting situation, Sasobit® WMA had the highest percentage of allocation (61%), while only socio-economic aspects matter, Asphamin® WMA had the largest share (57%) among the WMA and HMA mixtures. The optimization results also supported the significance of an increased WMA use in the United States for sustainable pavement construction. Consequently, the outcomes of this dissertation will advance the state of the art in built environment sustainability research by investigating novel efficient methodologies capable of offering optimized policy recommendations by taking the TBL impacts of supply chain into account. It is expected that the results of this research would facilitate better sustainability decisions in the adoption of system-based TBL thinking in the construction field.

This thesis proposes the use of a sociotechnical systems approach for analysing project management in nondeterministic project progress. The academic context of the research covers the domain of general systems theory, more specifically sociotechnical systems, and that of project management. The empirical part of the research comprises of a questionnaire spread amongst project managers in technical service firms in the built environment sector. The research shows that there are research opportunities in project management to which the sociotechnical approach to temporary project organisations can contribute.

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This dissertation consists of three essays in health economics. The first chapter, "The Built Environment and Obesity in Philadelphia: The Use of Satellite Imagery and Transfer Learning," investigates the relationship between the built environment and health outcomes, specifically obesity prevalence in Philadelphia. The built environment can affect obesity prevalence through the physical activity environment and the food environment. The main innovation of this paper is to use a pre-trained convolutional neural network (CNN) to extract data representing the features of the built environment from high-resolution satellite imagery. Because of the lack of information on the food environment in satellite images, I combined a proxy variable for food access together with the feature variables to represent the characteristics of the built environment. I then employed the Elastic Net model to test the relationship between the feature variables of the built environment and obesity prevalence in Philadelphia. The results show that the built environment is highly associated with obesity prevalence. This study also provides some evidence that the features of the built environment that have been extracted from satellite imagery can reduce the role of food access in estimating obesity, as well as that adding these features can explain more variance of obesity. The second chapter, "Paid Maternity Leave and Child Health: Evidence from Urban China," uses the China Health and Nutrition Survey data to study whether the extension of paid maternity leave affects children's health outcomes in urban China. This paper uses the time variation of the implementation of a maternity leave policy across different provinces from 1987 to 1991 in China to estimate a two-way fixed-effects model. The results suggest that the expansion of paid maternity leave has no impact on children's health in urban China. The last chapter, titled "The Association between Paid Maternity Leave and Mothers' Health and Labor Outcomes in Urban China," studies whether the extension of paid maternity leave in 1987-1991 would affect the labor and health outcomes of mothers in urban China by using the China Health and Nutrition Survey data. Based on the variation in the implementation time of a paid maternity leave policy across different provinces, this paper employs a two-way fixed-effects model to estimate the policy impact on mothers' health and labor outcomes in China. The findings indicate that extending the duration of paid maternity leave is associated with an increased likelihood of mothers remaining employed after childbirth. However, the study also reveals a negative relationship between the extension of paid maternity leave and mothers' wage rates. / Economics

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