Browsing by Author "Burke, Matthew"
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Item Evaluating demand responsive transit services using a density-based trip rate metric(Journal of Transport and Land Use, 2021) Kaufman, Benjamin; Leung, Abraham; Burke, MatthewDemand responsive transit (DRT) is attracting increased attention as a means to provide public transit to low-density populations. This research aims to provide a suite of evaluation metrics with low data requirement and widespread availability, so that operators, funders, regulators, and practitioners can better evaluate the performance of DRT services. Trip numbers can be divided by a number of available variables (period, trip length, population, and density) to create a number of derived metrics. By applying these variables across three different DRT service areas in Logan City, Australia, where other key factors are held constant, one can see how different formulations lead to very different readings of DRT system performance. The results confirm the dilemma of cost efficiency versus equity in service provision in low-density environments. This paper also highlights current data limitations and calls for better data collection to facilitate the development of new evaluation methods for DRT services and a new composite metric that can be used for inter-service comparison.Item Exploring property value effects of ferry terminals: Evidence from Brisbane, Australia(Journal of Transport and Land Use, 2017) Tsai, Chi-Hong (Patrick); Mulley, Corinne; Burke, Matthew; Yen, BarbaraProperty value effects of linear river ferries that service multiple stops in cities are under-explored. The Brisbane CityCat, CityHopper, and CityFerries combine to form a ferry system with 24 terminals. A geographically weighted regression (GWR) approach is used to determine property value effects of the system. Cross-sectional property data is used in combination with a set of neighborhood variables derived from 2011 census data, spatial feature location, and transport datasets (roads, busway and train station locations) for the city. The preferred global model had a good fit and showed expected signs for all parameters, showing that property prices tended to decline with distance from ferry terminals, when controlling for other variables. For every kilometer close a location is to a ferry terminal, there is an expected price increase of 4 percent on average, across the study area. The GWR local model also had good fit and suggested property value gains around specific terminals. Visual inspection suggests that locations where more ferry-oriented development opportunities have been taken in recent decades are the sites with the greatest positive property value effects. The implications are that land developers are justified in seeking ferry terminals to service their developments.