Housing problem had firstly emerged in Ankara after the establishment of Turkish Republic and increased after the 2nd World War. With the population increases in the cities, due to the migration from rural to urban areas, the housing need have increased also as well as the other requirements. Housing Cooperatives that had first developed at 1934 represent a new type of licensed residence. Some precautions such as financial support were taken by the governments to solve this continuously rising housing problem. Therefore, the housing cooperatives had been supported effectively by the governments especially after 1960&rsquo / s. In 1980&rsquo / s, the housing necessity caused different searches in governmental level. Then, a clear resurgence observed in the housing sector with the means of Mass Housing laws accepted. The housing efforts in Adana had been accelerated with the establishments of housing cooperatives after 1960&rsquo / s and the constructions had performed great leaps nearly in every decade. This thesis analyzes the effects of housing cooperatives on the urban development of Adana city.

Three tern species, Roseate Tern (Sterna dougalli), Bridled Tern (Sterna anaethetus) and Crested Tern (Sterna bergii) co-bred at Baisha islet, east-north of Penghu, in the summer of 2006. Each species favored different kind of environment for nesting. All Crested Terns nested in the flat plane with vegetation; Roseate Terns in the cliff near the vegetation, and Bridled Tern primarily nested near the vertical rock or under a rocky roof. The Crested Tern had the highest nesting density, and Bridled Tern nested loosely. The hatching success of Roseate (75%) and Crested Tern (73%) were significantly higher than that of Bridled Tern (30%). Roseate and Crested Tern laid eggs synchronously and had apparently two wave of egg laying and the breeding performances between early- and late-laying period were quite different. The relationship between hatching success and nest-site characteristics of the three species was investigated. The results revealed that hatching success of Roseate Tern increased with the number of walls and neighbors. Early-laying nests (79%) and central nests (72%) were more successful than late (11%) and edge nests (45%) of Roseate Terns. The laying-period was also important factors affecting hatching success of Crested Tern. Overall, the low hatching success of the late-laying nests may be due to the change of environmental conditions and the losing advantage of group breeding in the late season. The low hatching success of Bridled Tern was considered owing to the asynchronous laying pattern, loosely built nesting and weak parental behaviors.

The before-after study is still the most popular method used by traffic engineers and transportation safety analysts for evaluating the effects of an intervention. However, this kind of study may be plagued by important methodological limitations, which could significantly alter the study outcome. They include the regression-to-the-mean (RTM) and site-selection effects. So far, most of the research on these biases has focused on the RTM. Hence, the primary objective of this study consists of presenting a method that can reduce the site-selection bias when an entry criterion is used in before-after studies for continuous (e.g. speed, reaction times, etc.) and count data (e.g. number of crashes, number of fatalities, etc.). The proposed method documented in this research provides a way to adjust the Naive estimator by using the sample data and without relying on the data collected from the control group, since finding enough appropriate sites for the control group is much harder in traffic-safety analyses. In this study, the proposed method, a.k.a. Adjusted method, was compared to commonly used methods in before-after studies. The study results showed that among all methods evaluated, the Naive is the most significantly affected by the selection bias. Using the CG, the ANCOVA, or the EB method based on a control group (EBCG) method can eliminate the site-selection bias, as long as the characteristics of the control group are exactly the same as those for the treatment group. However, control group data that have same characteristics based on a truncated distribution or sample may not be available in practice. Moreover, site-selection bias generated by using a dissimilar control group might be even higher than with using the Naive method. The Adjusted method can partially eliminate site-selection bias even when biased estimators of the mean, variance, and correlation coefficient of a truncated normal distribution are used or are not known with certainty. In addition, three actual datasets were used to evaluate the accuracy of the Adjusted method for estimating site-selection biases for various types of data that have different mean and sample-size values.

The aim of this study was to determine the habitat features affecting nest site selection and breeding success of the endangered Egyptian Vultures (Neophron percnopterus) breeding around the town of Beypazari. We searched and monitored nest sites in the study area (750 km2) for the years 2010 and 2011. The differences in terms of habitat features between nest sites and random points distributed along cliffs, and between successful and failed nest sites were investigated using both parametric approaches and machine learning methods with 21 habitat variables. The size of the Beypazari population of Egyptian Vultures was estimated to be 45 pairs. Seventeen nests in 2010 and 37 nests in 2011 were found and monitored. The breeding success of the population was estimated to be 100% in 2010 and 70% in 2011. Random Forests was the modeling technique with the highest accuracy and the modeling process chose 6 and 4 variables affecting nest site selection and breeding success of the species, respectively. Results showed that human impact was a potential factor governing the distribution of nest sites in the area and increased the probability of breeding failure as vultures clearly preferred to nest away from nearby villages, towns and roads, and nests on lower cliffs and nests that are close to the dump site (therefore the town center) was prone to failure. Utilization of elevation gradient and aspect showed trends similar to other populations of the species, with probability of nesting increasing at lower altitudes and for south facing cliffs. The overall results emphasize the potential conflict between human presence and the population of Egyptian Vultures in the area. Continuous monitoring of the nest sites and conservation activities towards raising public awareness are advised.

Nowadays, GIS techniques have been widely used in every walk of life. Owing to the rapid urban growth, it is of importance to plan and develop the cities in a reasonable and scientific way. As a result, optimum sites of different constructions should be considered to make full use of land resources and optimize urban structure. Although the traditional field-survey method is important, GIS-based multi-criteria analysis (MCA) provides a more reasonable and scientific way in site selection issue. Weihai, our study area, is one of the fastest developing coastal cities in China. Owing to the rapid urban expansion, Weihai government municipality planned to develop the Poyu town into a new district with multifunctions. In consideration of its advantages in natural resources and geographic position, a holiday resort is proposed. In the aim of applying GIS-based MCA in site selection, this thesis would present an experiment to select the optimal site for a holiday resort with the help of GIS techniques. The data used in this project is a satellite image and digital elevation data of Poyu town. The satellite image has been digitized to obtain the current land use map, based on which constraint maps and factor maps have been made to make preparation of multi-criteria analysis. Finally, the multi-criteria analysis model has been made. The weights for multi-criteria analysis are obtained from the advice of experienced people in Weihai Planning Bureau and also earlier studies on the site selection. There are three sets of weights based on three themes that have been used in this project. The three themes which were fruit-picking theme, seascape and seafood theme as well as leisure and recreation theme were decided based on the results of the questionnaire. Through the discussions of the results, a final selected site for the holiday resort was determined. It includes the optimal site for the main part focusing on both fruit picking theme and leisure and recreation theme and also the optimal site for an accessory part focusing on seascape and seafood theme. The final section concludes the general project work, its perspectives and the function of GIS-based MCA in site selection.

The protection and biodiversity of marine ecosystem become major concerns in the world. Taiwan is also increasingly interested in the establishment of marine protected areas, but it still lack of the scheme on ¡§how to perceive the process for the protected areas¡¨. The establishment of a protected area is all by the top down without a full planning for a proper managed mechanism, evaluation and assessment to the site. The lack of the funds from the government often causes the failure of monitoring and restoration to the protected site. These problems have caused unprovent from imappropiate management to the established protected areas or have made the protected site as a paper park by the administration. This study searches the literatures with regards to the planning processes and the site selection process of marine protected areas in Canada and Australia. The objective of the present study is initiated to determine and survey the problems of marine protected area (MPA) planning in Taiwan. The select sites for the present studies are the proposed MPA site ¡§Four Southern Island¡¨ and other established MPA sites in Penhu. The approaches for assessing the sites include the geographic information system (GIS) spatial analysis method for the aquatic resources and their distributions. Data collections consist of the funding sources for managing the MPA sites and the proposed planning for the delimitation of MPA at the shore areas. The biological information around the sites was assessable for the evaluation process in addition to the management scheme in the future requirement at the Four Southern Islands site. The current expanses supported by the Penhu county government and the Executive Yuan Coast Guard was used for comparing with the proposed budgets needed for the MPA sites. The results showed that the Four Southern Islands has not met with the requirements and guidelines as a MPA due to the lack of scientific survey on the distributions of aquatic species within the proposed 3 nm delimitation. A long-term research and monitoring of the resources shall be performed to evaluate the sites prior to be announced as a designate MPA site. Although local residents agreed positively about the important of MPA site establishment through the questionnaire and interviews, there is still the need to improve management practices and more strict law enforcement capacity to ensure the protection of the marine environment for achieving a sustainable development. The survey results have been made to the process of site selection of marine protected areas according to Canada, suggesting that the current planning of the Four Southern Islands in Penghu does not match the site selection process. There need to be clarified with the details of the implementation process. In the end, above finding may impact the establishment of protected areas, including the relationship between public sector¡¦s responsibilities, and socio-economic conditions of the surrounding area development, marine environment and resources and fishing activities and other aspects of the integration considerations. These are expected to be the important conditions for the recommendations for the MPA site selection and to ensure the sustainable development of marine environment.

The research focuses on the application of site selection for cage aquaculture in Taiwan by developing the site evaluation DSS (Decision Support System). The modeling aspect of the system belongs to the domain of multi-criteria decision theories, which AHP (Analytic Hierarchy Process) and Fuzzy Set theory were used. Two case studies based on real world and hypothetical data were conducted to verify the integrity of the system. According to the literature review and the interview with several domain experts, various impact factors were identified first. The corresponding weights of each factor were then decided by analyzing the questionnaires designed based on the concept of AHP. The following work was to evaluate those impact factors based on the experience of domain experts using some appropriate approaches. To represent the domain knowledge, it is appropriate to use rule based inference system. Besides, fuzzy set theory was chosen to describe the antecedent and consequence of the rule base due to the considerations of uncertainty from human experts and ocean field data. Several related mythologies derived from the fuzzy set theory were used, such as the operation of fuzzy composition, determination of suitable membership function, fuzzy relationship matrix, fuzzy inference, defuzzification, and fuzzy pattern classification. All impact factors were categorized into three different types of membership functions that were designed specifically for the site selection of cage aquaculture. The consequence in the rule base, which is the site suitability, was also represented as the unique membership function. To calculate the fuzzy relationship matrix, the current research found that the operation of ¡§algebraic product and bounder sum¡¨ would produce better results than the commonly used ¡§max-min¡¨ operation. Each impact factor would have the associated fuzzy relationship matrix derived from the rule base. The site suitability in term of a fuzzy set can then be inferred by the fuzzy composition of current situation of the factor and the relationship matrix. By multiplying the AHP weight and the fuzzy suitability, the final site suitability index, taking all the impact factors into consideration, can therefore be derived. The real data in Feng-Gang, located in the southern Taiwan, were collected and evaluated using the site selection DSS. The results show Feng-Gang is suitable for the development of cage aquaculture, which is validated by the current prosperous business locally in cage aquaculture. As for the evaluation of multiple sites, 18 hypothetical sites near shore around Taiwan were chosen to calculate the corresponding suitability indexes, which were then be partitioned into several groups using the fuzzy pattern classification. Based on the results, the sites that were classified in the same group have similar cultivation conditions, which also proves the applicability of the site evaluation DSS.

China has the largest population and the fastest growing economy in the world. The general public's demand for health is rising promptly with the improvement of the living standard. However, the limited and unbalanced medical resource have caused the prominent problem of the society, even in the capital city of Beijing, the new hospital constructions with rational allocation is iminent and significant. Along with the technology development and Internet popularization, GIS approaches and related products has been widely used in the people's daily life. The main focus of this paper is to select a site for building a new hospital in Haidian District of Beijing using GIS-based Multi-Criteria Analysis (MCA). With Analytical Hieraichy Process(AHP) and Rank Order Method (ROM) for the weight setting on factor criteria, necessity tests and sensitivity tests are applied to check which criteria are really necessary and how the results are sensitive to their weight change. The optimal site located in Wenquan Town (E: 116.182, N:40.039) is screened from several candidate sites usin Google Earth maps, which makes the ultimate result more convincing and practical. It can be concluded that GIS-based MCA with necessity and sensitivity tests proposes a novel and useful reference to other site selection decision makers, and also provides constructive tools for the public asministration to set up efficent databases for decision makers to carry out spatial analyses. To make it more maneuverable and practical, a further research on th improvement of this method will have a promising future.

Geographic Information System (GIS) technologies and remote sensing (RS) technologies have developed rapidly in recent years, and they have been widely used indaily life of ordinary people. The combination of these two remarkable technologies isuseful for location decision making and has been applied in different kinds of study cases.Guangyuan is one of the fastest developing cities in the southwest of China. Especiallyafter the Wenchuan earthquake in 2008, the development in economic and urbanreconstruction increased rapidly. Many infrastructure constructions and the reformprojects are in progress. At the same time, China's urban sewage treatment facilities areseriously inadequate. Only a small percentage of sewage has been treated by sewagetreatment plants in China. So the purpose of this study is to select an optimal site for asewage treatment plant in Guangyuan in a scientific way.In this particular study, based on GIS software and GIS-based multi-criteria analysis(MCA), a decision making model has been built for optimal site selection for a sewagetreatment plant. Two types of data were used in this study. Digital elevation model andsatellite image, several factor maps and constraint maps were created for the final analysis.The analytic hierarchy process was used to apply the weights for each factor along withformula method, in order to get the best result and find the optimal site. Finally, a MCAmodel has been made to be an example for future similar studies.In the end, an optimal site has been selected. Although aims are achieved in this study,there are still some limitations in different perspectives of the study. In the future, moreprecise data can be used in MCA studies, data limitations could be reduced with thedevelopment of RS techniques. In the future, more similar studies will be finished, whichmeans more scientific papers can provide reliable references of determining the criteriaand weights.

Understanding the behaviour of molecules on a semiconductor surface is necessary if molecular self-assembly is going to be employed, with existing semiconductor technology, to create useful devices. Si(111)-7x7 is an invaluable surface upon which to study molecular adsorption. The surface reconstruction has been well characterized and it possesses seven symmetrically distinct dangling bonds that can serve as reaction sites. Aromatic molecules on Si(111)-7x7 have been investigated with a variety of techniques and have been shown to chemisorb at room temperature. However, it is not trivial to predict how an ensemble of aromatic molecules might distribute themselves amongst the available bonding sites on this surface. The work presented in this thesis begins with a joint STM and ab initio investigation of thiophene on 7x7 that demonstrates kinetics are necessary to describe the chemisorption sites occupied at various coverages. A kinetic Monte Carlo model, taking into account a mobile physisorbed state, is shown to accurately describe this site occupancy at room temperature. This model disregards molecule-molecule interaction because thiophene does not sterically hinder chemisorption to a neighbouring dangling bond. A larger molecule, mesitylene, was then studied on Si(111)-7x7, and shown to form an ordered molecular lattice on the Si(111)-7x7 surface. This is the first demonstration of a porous molecular lattice grown on Si(111)-7x7 at room temperature. Finally, molecular chemisorption on the related 5x5 reconstruction, grown by depositing Ge on 7x7, is studied. It is found that the presence of Ge hinders molecular chemisorption, preventing formation of the mesitylene lattice. / Thesis (Ph.D, Physics, Engineering Physics and Astronomy) -- Queen's University, 2009-09-11 10:14:10.118