For more than a century, public transportation has played a significant role in society. Transit agencies, like other service industries, are intent on improving their quality of service so as to increase transit ridership and attract passengers from other modes. In recent years transportation technologies have been improved which increase safety, mobility for people and goods, and reduce Green House Gas (GHG) emissions. An evaluation of the impacts of these operational and technological advancements is required for transit agencies to capture the potential benefits for their systems. The Region Municipality of Waterloo (RMOW), a mid-size region in Ontario has implemented an express transit service (iXpress) in Sept, 2005. The service has longer distances between stops and incorporates advanced technologies. The goal is to increase transit ridership and, as a result, to reduce GHG emissions. This research has been conducted to study the iXpress service and to develop several methods to determine the impacts of high speed transit service on passenger attraction, operational efficiency, and regional air quality. In this research, the change in total cost of travel between origin destination pairs is correlated to changes in observed ridership. Further, several surveys were conducted in the RMOW to evaluate the travel pattern changes of residents who switched from other modes to iXpress. Based on fuel consumption data, a model of GHG emissions as a function of route and vehicle characteristics has been developed to capture the operational impacts of a new iXpress service. The iXpress service of Grand River Transit (GRT) has been successful in attracting riders despite delays in technology implementation. The cost analysis presented in this research shows that the introduction of iXpress resulted in approximately 30% reduction in overall cost of travel by transit. As a result, ridership (boardings) has increased by 11% and 46% in the northern and southern sections of the iXpress service area respectively, while accounting for overall growth in the system. An analysis of travel patterns and mode shifts suggest that travelers switching from auto mode to iXpress have resulted in annualized reduction of approximately 530 tonnes of GHG. A fuel consumption analysis indicates that buses on the iXpress route have an average fuel consumption rate of 0.54 L/km while, buses serving local route consumes fuel of a rate of 0.62 L/km.

An increased awareness about the global warming has created a demand for more information on how the climate is affected by different activities.This master thesis was initiated by Tricorona, a Swedish company that offers its customers analysis and calculation of their climate impact. Tricorona also supplies climate neutralisation with CERs, in accordance with the Kyoto protocol and controlled by the UN. This work demands updated emission factors for greenhouse gases. An emission factor gives information about the greenhouse gasintensity of a service or a product [kg CO2-eq./ functional unit].The purpose of this thesis is to examine how electricity, district heating, hotels, taxis, food and materials affect the climate and how emission factors for these areas can be calculated.This was done by reviewing and comparing different studies and by interviewing experts. The information was evaluated and recommendations on calculations and emission factors were made.The consumption of energy is the main source of greenhouse gas emissions for district heating, electricity, hotels, taxis and materials. For food production the biogenic greenhousegas emissions are also important, such as the emissions of carbon dioxide and nitrous oxide from land use and the methane emissions from ruminants.For climate impact assessment of electricity, district heating, hotels and taxis it is recommended that the calculations should be based on an average consumption of energy. All types of energy carriers should be included in the calculations and the emission factors used should be based on Life Cycle Assessments. Climate impact assessments based on energy consumption is a simplification that underestimates the real greenhouse gas emissions. The recommended emission factors are associated with some uncertainties that originate from the quality of the data used, the assumptions made and the system boundaries that were chosen.Despite that, the recommended emission factors can be considered representative since they are based on the best available data. For food and materials it is recommended that emissionfactors from Life Cycle Inventories should be used.

For more than a century, public transportation has played a significant role in society. Transit agencies, like other service industries, are intent on improving their quality of service so as to increase transit ridership and attract passengers from other modes. In recent years transportation technologies have been improved which increase safety, mobility for people and goods, and reduce Green House Gas (GHG) emissions. An evaluation of the impacts of these operational and technological advancements is required for transit agencies to capture the potential benefits for their systems. The Region Municipality of Waterloo (RMOW), a mid-size region in Ontario has implemented an express transit service (iXpress) in Sept, 2005. The service has longer distances between stops and incorporates advanced technologies. The goal is to increase transit ridership and, as a result, to reduce GHG emissions. This research has been conducted to study the iXpress service and to develop several methods to determine the impacts of high speed transit service on passenger attraction, operational efficiency, and regional air quality. In this research, the change in total cost of travel between origin destination pairs is correlated to changes in observed ridership. Further, several surveys were conducted in the RMOW to evaluate the travel pattern changes of residents who switched from other modes to iXpress. Based on fuel consumption data, a model of GHG emissions as a function of route and vehicle characteristics has been developed to capture the operational impacts of a new iXpress service. The iXpress service of Grand River Transit (GRT) has been successful in attracting riders despite delays in technology implementation. The cost analysis presented in this research shows that the introduction of iXpress resulted in approximately 30% reduction in overall cost of travel by transit. As a result, ridership (boardings) has increased by 11% and 46% in the northern and southern sections of the iXpress service area respectively, while accounting for overall growth in the system. An analysis of travel patterns and mode shifts suggest that travelers switching from auto mode to iXpress have resulted in annualized reduction of approximately 530 tonnes of GHG. A fuel consumption analysis indicates that buses on the iXpress route have an average fuel consumption rate of 0.54 L/km while, buses serving local route consumes fuel of a rate of 0.62 L/km.

Electricity generation from wind power and other renewable energy sources is increasing, and their variability introduces new challenges to the existing power system, which cannot cope effectively with highly variable and distributed energy resources. The emergence of smart grid technologies in recent year has seen a paradigm shift in redefining the electrical system of the future, in which controlled response of the demand side is used to balance fluctuations and intermittencies from the generation side. This thesis investigates the impact of smart grid technologies on the integration of wind power into the power system. A smart grid power system model is developed and validated by comparison with a real-life smart grid experiment: the Olympic Peninsula Demonstration Experiment. The smart grid system model is then expanded to include 1000 houses and a generic generation mix of nuclear, hydro, coal, gas and oil based generators. The effect of super-imposing varying levels of wind penetration are then investigated in conjunction with a market model whereby suppliers and demanders bid into a Real-Time Pricing (RTP) electricity market. The results demonstrate and quantify the effectiveness of DR in mitigating the variability of renewable generation. It is also found that the degree to which Greenhouse Gas (GHG) emissions can be mitigated is highly dependent on the generation mix. A displacement of natural gas based generation during peak demand can for instance lead to an increase in GHG emissions. Of practical significance to power system operators, the simulations also demonstrate that Demand Response (DR) can reduce generator cycling and improve generator efficiency, thus potentially lowering GHG emissions while also reducing wear and tear on generating equipment. / Graduate