Social and Behavioral Sciences Commons^™

Cell Towers As Urban Sensors: Understanding The Strengths And Limitations Of Mobile Phone Location Data, Ziliang Zhao

Doctoral Dissertations

Understanding urban dynamics and human mobility patterns not only benefits a wide range of real-world applications (e.g., business site selection, public transit planning), but also helps address many urgent issues caused by the rapid urbanization processes (e.g., population explosion, congestion, pollution). In the past few years, given the pervasive usage of mobile devices, call detail records collected by mobile network operators has been widely used in urban dynamics and human mobility studies. However, the derived knowledge might be strongly biased due to the uneven distribution of people’s phone communication activities in space and time.

This dissertation research applies different analytical …

Mobility And Activity Space: Understanding Human Dynamics From Mobile Phone Location Data, Yang Xu

Doctoral Dissertations

Studying human mobility patterns and people’s use of space has been a major focus in geographic research for ages. Recent advancements of location-aware technologies have produced large collections of individual tracking datasets. Mobile phone location data, as one of the many emerging data sources, provide new opportunities to understand how people move around at a relatively low cost and unprecedented scale. However, the increasing data volume, issue of data sparsity, and lack of supplementary information introduce additional challenges when such data are used for human behavioral research. Effective analytical methods are needed to meet the challenges to gain an improved …

Non-Residential Pedestrian Access To Transit Systems: A Gis Modeling Application, Luis Miguel Taboada

Masters Theses

The success of a city’s urban transit system relies on the efficacy of its pedestrian infrastructure. A functional and access-oriented pedestrian network translates into safer pedestrian travel, increased demand in transit ridership, increases in commerce patronage, and reduced motorized travel (i.e., less congestion, and less vehicle emissions). Prioritization and allocation of sidewalk construction improvements are not always done in conjunction with transit service provisions. As a result, potential destinations are left inaccessible to pedestrians using the transit system. This study is motivated by concurrent research involving sidewalk improvement prioritization methods, within the scope of home-based work pedestrian transit trips. This …

Four Dimensional Approach To Center City Transformation: A Case Study Of Knoxville, Tn: 1884—1950, Joseph Ryan Roberts

Masters Theses

Urban morphological models were created to enhance our understanding of urban growth and form. Prior to Geographical Information Systems (GIS), these models were supplementary products of ideas and concepts that set out to explain the spatial configuration of the urban landscape. While these models are of great importance to the field, they are mostly two-dimensional (2D) and static. Three-dimensional (3D) modeling has strengths in landscape visualization, manipulation, and planning, where analyses of historical urban landscapes may be carried out efficiently and thoroughly. A method that utilizes 3D modeling through time or four-dimensional (4D) modeling will enhance our understanding of transformation …

Human And Black Bear Interactions In Buncombe County, North Carolina, From 1993–2013, Adam Guy Alsamadisi

Masters Theses

Over the past 20 years the frequency of interactions between humans and black bears in Buncombe County, North Carolina has been increasing, posing threats to human safety, black bear populations, ecological stability, and conservation support. During this time, both the human population and the American black bear population increased in southern Appalachia, which, combined with both urban expansion and landscape fragmentation, led to an increase in human and black bear interactions. Reducing future interactions with black bears is important as these interactions put support for conservation at risk. I performed a landscape analysis to better understand where human and black …

Data Fusion Methods For Improved Demographic Resolution Of Population Distribution Datasets, Amy Nicole Rose

Doctoral Dissertations

Despite the availability of multiple global population distribution datasets, these datasets are limited by their lack of demographic depth. Although large area spatial datasets of population distributions currently exist, similar spatial representations of other demographic and socioeconomic characteristics are scarce. Spatial microdata that include detailed demographic information are rarely available for small areas, thus limiting the complex analysis of population subgroups. To address the lack of demographic resolution in existing population distribution datasets, a first step would be to develop large area microdata that can be attached to a country- or global-level population distribution dataset. This can be achieved by …

A Study Of Colloquial Place Names Through Geotagged Social Media Data, Yuan Liu

Masters Theses

Place is a rich but vague geographic concept. Much work has been done to explore the collective understanding and perceived location of place. The last few decades have seen rapid expansion in the use of online social media and data sharing services, which provide a large amount of valuable data for research of colloquial place names. This study explored how geotagged social media data can be used to understand geographic place names, and delimit the perceived geographic extent of a place. The author proposes a probabilistic method to map the perceived geographic extent of a place using Kernel Density Estimation …

Time Series Analysis Of Modis Ndvi Data With Cloudy Pixels: Frequency-Domain And Sizer Analyses Of Vegetation Change In Western Rwanda, Ephraim Robert Love

Masters Theses

Remote sensing is a valuable source of data for the study of human ecology in rural areas. In this thesis, I attempt to analyze the presence of a long-term trend indicative of post-resettlement adaptation in the vegetation signals of Western Rwanda. There is a dearth of research utilizing medium resolution imagery to study difficult environments, such as tropical-montane regions, where complex topography and cloud cover diminish image accuracy. I attempt to add to the extant literature on frequency-domain smoothing methods as well as the literature on human-environment interaction in tropical-montane regions by applying a harmonic filtering and smoothing algorithm to …

Spatiotemporal Analysis Of Taxi Availability And Pick-Ups: A Case Study Of Suzhou, China, Yicong Zhong

Masters Theses

This study utilized a seven-day taxi trajectory dataset to investigate the difficulty of finding vacant taxis in Suzhou, China, by analyzing the imbalance (IMB) between rider pick-ups and the number of vacant taxis on each road segment in Suzhou. To recognize significant local high vs. low frequency patterns of events, and to make the values of imbalance as representative as possible, a hierarchical structure of multi-resolution time windows that split each hour into as many as four parts was developed based on the minimum variance method of hierarchical clustering (Ward, 1963). In addition to imbalance, the second variable to be …