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ASSESSING THE DEGREE OF ACCESS TO URBAN PUBLIC PARKS FOR OLDER ADULTS IN THE VILLAGES METROPOLITAN AREA OF FLORIDA, 2017Wang, Yingsong 01 January 2019 (has links)
With the rapid urbanization, the urban residents' demand for urban public parks is increasing. As a unique and representative age group, older adults put forward new requirements for the evaluation and rational planning of urban parks. Park accessibility is an important index reflecting the rationality of park layout, the accessibility of residents to the park and the social equity of park services. In this paper, buffer analysis and network analysis based on the ArcGIS platform were selected to analyze service accessibility and green transportation accessibility of The Villages metropolitan area of Florida respectively and then make a summary analysis. In particular, this paper chooses service area, common facilities, and recreational amenities as the evaluation factors of service accessibility. Besides, the coverage area of three modes of green transportation, namely walking, public transportation and bicycle, in different periods is selected as the evaluation factor of green transportation accessibility in this paper. The results show that: 1) The accessibility level of the study area is generally low, and more than half of the study area is not within the service scope of the park. 2) The urban parks serving the study area are relatively unevenly distributed; the road network is imperfect, and there are open circuit and blank area. 3) Park accessibility ratio of four modes of transportation in different time levels motor vehicles > bicycles > walking > public transportation. The research results can provide a reference for the optimization of the spatial layout of public parks in age-friendly cities.
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GIS-based Episode Reconstruction Using GPS Data for Activity Analysis and Route Choice Modeling / GIS-based Episode Reconstruction Using GPS DataDalumpines, Ron 26 September 2014 (has links)
Most transportation problems arise from individual travel decisions. In response, transportation researchers had been studying individual travel behavior – a growing trend that requires activity data at individual level. Global positioning systems (GPS) and geographical information systems (GIS) have been used to capture and process individual activity data, from determining activity locations to mapping routes to these locations. Potential applications of GPS data seem limitless but our tools and methods to make these data usable lags behind. In response to this need, this dissertation presents a GIS-based toolkit to automatically extract activity episodes from GPS data and derive information related to these episodes from additional data (e.g., road network, land use).
The major emphasis of this dissertation is the development of a toolkit for extracting information associated with movements of individuals from GPS data. To be effective, the toolkit has been developed around three design principles: transferability, modularity, and scalability. Two substantive chapters focus on selected components of the toolkit (map-matching, mode detection); another for the entire toolkit. Final substantive chapter demonstrates the toolkit’s potential by comparing route choice models of work and shop trips using inputs generated by the toolkit.
There are several tools and methods that capitalize on GPS data, developed within different problem domains. This dissertation contributes to that repository of tools and methods by presenting a suite of tools that can extract all possible information that can be derived from GPS data. Unlike existing tools cited in the transportation literature, the toolkit has been designed to be complete (covers preprocessing up to extracting route attributes), and can work with GPS data alone or in combination with additional data. Moreover, this dissertation contributes to our understanding of route choice decisions for work and shop trips by looking into the combined effects of route attributes and individual characteristics. / Dissertation / Doctor of Philosophy (PhD)
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