Digital Commons Network^™

Forecasting The Onset And Course Of Mental Illness With Twitter Data, Andrew G. Reece, Andrew J. Reagan, Katharina L.M. Lix, Peter Sheridan Dodds, Christopher M. Danforth, Ellen J. Langer

College of Engineering and Mathematical Sciences Faculty Publications

We developed computational models to predict the emergence of depression and Post-Traumatic Stress Disorder in Twitter users. Twitter data and details of depression history were collected from 204 individuals (105 depressed, 99 healthy). We extracted predictive features measuring affect, linguistic style, and context from participant tweets (N = 279,951) and built models using these features with supervised learning algorithms. Resulting models successfully discriminated between depressed and healthy content, and compared favorably to general practitioners' average success rates in diagnosing depression, albeit in a separate population. Results held even when the analysis was restricted to content posted before first depression diagnosis. …

Erratum To: Instagram Photos Reveal Predictive Markers Of Depression (Epj Data Science, (2017), 6, 1, (15), 10.1140/Epjds/S13688-017-0110-Z), Andrew G. Reece, Christopher M. Danforth

College of Engineering and Mathematical Sciences Faculty Publications

Upon publication of the original article [1], it was noticed that Figure 2 contained an error. The horizontal bars for the likes row were incorrectly shown as blue. The horizontal bars for the ‘likes’ row should be orange. This has now been acknowledged and corrected in this erratum. The correct Figure 2 is shown below. In the section Method, subsection Improving data quality, the sentence ‘We also excluded participants with CES-D scores of 22 or higher. should read as We also excluded participants with CES-D scores of 21 or lower. This has now been acknowledged and corrected in this erratum. …

Instagram Photos Reveal Predictive Markers Of Depression, Andrew G. Reece, Christopher M. Danforth

College of Engineering and Mathematical Sciences Faculty Publications

Using Instagram data from 166 individuals, we applied machine learning tools to successfully identify markers of depression. Statistical features were computationally extracted from 43,950 participant Instagram photos, using color analysis, metadata components, and algorithmic face detection. Resulting models outperformed general practitioners’ average unassisted diagnostic success rate for depression. These results held even when the analysis was restricted to posts made before depressed individuals were first diagnosed. Human ratings of photo attributes (happy, sad, etc.) were weaker predictors of depression, and were uncorrelated with computationally-generated features. These results suggest new avenues for early screening and detection of mental illness.

Sentiment Analysis Methods For Understanding Large-Scale Texts: A Case For Using Continuum-Scored Words And Word Shift Graphs, Andrew J. Reagan, Christopher M. Danforth, Brian Tivnan, Jake Ryland Williams, Peter Sheridan Dodds

College of Engineering and Mathematical Sciences Faculty Publications

The emergence and global adoption of social media has rendered possible the real-time estimation of population-scale sentiment, an extraordinary capacity which has profound implications for our understanding of human behavior. Given the growing assortment of sentiment-measuring instruments, it is imperative to understand which aspects of sentiment dictionaries contribute to both their classification accuracy and their ability to provide richer understanding of texts. Here, we perform detailed, quantitative tests and qualitative assessments of 6 dictionary-based methods applied to 4 different corpora, and briefly examine a further 20 methods. We show that while inappropriate for sentences, dictionary-based methods are generally robust in …

Evaluating Spatial Variability In Sediment And Phosphorus Concentration-Discharge Relationships Using Bayesian Inference And Self-Organizing Maps, Kristen L. Underwood, Donna M. Rizzo, Andrew W. Schroth, Mandar M. Dewoolkar

College of Engineering and Mathematical Sciences Faculty Publications

Given the variable biogeochemical, physical, and hydrological processes driving fluvial sediment and nutrient export, the water science and management communities need data-driven methods to identify regions prone to production and transport under variable hydrometeorological conditions. We use Bayesian analysis to segment concentration-discharge linear regression models for total suspended solids (TSS) and particulate and dissolved phosphorus (PP, DP) using 22 years of monitoring data from 18 Lake Champlain watersheds. Bayesian inference was leveraged to estimate segmented regression model parameters and identify threshold position. The identified threshold positions demonstrated a considerable range below and above the median discharge—which has been used previously …

Upstream Watershed Condition Predicts Rural Children's Health Across 35 Developing Countries, Diego Herrera, Alicia Ellis, Brendan Fisher, Christopher D. Golden, Kiersten Johnson, Mark Mulligan, Alexander Pfaff, Timothy Treuer, Taylor H. Ricketts

Rubenstein School of Environment and Natural Resources Faculty Publications

Diarrheal disease (DD) due to contaminated water is a major cause of child mortality globally. Forests and wetlands can provide ecosystem services that help maintain water quality. To understand the connections between land cover and childhood DD, we compiled a database of 293,362 children in 35 countries with information on health, socioeconomic factors, climate, and watershed condition. Using hierarchical models, here we find that higher upstream tree cover is associated with lower probability of DD downstream. This effect is significant for rural households but not for urban households, suggesting differing dependence on watershed conditions. In rural areas, the effect of …

A Multi-Country Assessment Of Factors Related To Smallholder Food Security In Varying Rainfall Conditions, Meredith T. Niles, Molly E. Brown

College of Agriculture and Life Sciences Faculty Publications

Given that smallholder farmers are frequently food insecure and rely significantly on rain-fed agriculture, it is critical to examine climate variability and food insecurity. We utilize data from smallholder farmer surveys from 12 countries with 30 years of rainfall data to examine how rainfall variability and household resources are correlated with food security. We find that on average, households that experienced a drier than average year are 3.81 months food insecure, while households within a normal range of rainfall were 3.67 months food insecure, and wetter than average households were 2.86 months food insecure. Reduced odds of food insecurity is …

Genomic Signature Of Adaptive Divergence Despite Strong Nonadaptive Forces On Edaphic Islands: A Case Study Of Primulina Juliae, Jing Wang, Chao Feng, Tenglong Jiao, Eric Bishop Von Wettberg, Ming Kang

College of Agriculture and Life Sciences Faculty Publications

Both genetic drift and divergent selection are expected to be strong evolutionary forces driving population differentiation on edaphic habitat islands. However, the relative contribution of genetic drift and divergent selection to population divergence has rarely been tested simultaneously. In this study, restriction-site associated DNA-based population genomic analyses were applied to assess the relative importance of drift and divergent selection on population divergence of Primulina juliae, an edaphic specialist fromsouthern China. All populations were found with low standing genetic variation, small effective population size (NE), and signatures of bottlenecks. Populations with the lowest genetic variation were most genetically differentiated from other …

The Complete Chloroplast Genome Of Primulina And Two Novel Strategies For Development Of High Polymorphic Loci For Population Genetic And Phylogenetic Studies, Chao Feng, Meizhen Xu, Chen Feng, Eric J.B. Von Wettberg, Ming Kang

College of Agriculture and Life Sciences Faculty Publications

Background: Primulina Hance is an emerging model for studying evolutionary divergence, adaptation and speciation of the karst flora. However, phylogenetic relationships within the genus have not been resolved due to low variation detected in the cpDNA regions. Chloroplast genomes can provide important information for phylogenetic and population genetic studies. Recent advances in next-generation sequencing (NGS) techniques greatly facilitate sequencing whole chloroplast genomes for multiple individuals. Consequently, novel strategies for development of highly polymorphic loci for population genetic and phylogenetic studies based on NGS data are needed. Methods: For development of high polymorphic loci for population genetic and phylogenetic studies, two …

Studying Human Behavior For Species Conservation, Hilary Byerly, Brendan Fisher

Rubenstein School of Environment and Natural Resources Faculty Publications

No abstract provided.

Ecological Network Metrics: Opportunities For Synthesis, Matthew K. Lau, Stuart R. Borrett, Benjamin Baiser, Nicholas J. Gotelli, Aaron M. Ellison

College of Arts and Sciences Faculty Publications

Network ecology provides a systems basis for approaching ecological questions, such as factors that influence biological diversity, the role of particular species or particular traits in structuring ecosystems, and long-term ecological dynamics (e.g., stability). Whereas the introduction of network theory has enabled ecologists to quantify not only the degree, but also the architecture of ecological complexity, these advances have come at the cost of introducing new challenges, including new theoretical concepts and metrics, and increased data complexity and computational intensity. Synthesizing recent developments in the network ecology literature, we point to several potential solutions to these issues: integrating network metrics …

Mountain Forests And Sustainable Development: The Potential For Achieving The United Nations' 2030 Agenda, Georg Gratzer, William S. Keeton

Rubenstein School of Environment and Natural Resources Faculty Publications

The world is facing numerous and severe environmental, social, and economic challenges. To address these, in September 2015 the General Assembly of the United Nations adopted the resolution Transforming our World: The 2030 Agenda for Sustainable Development. The United Nations' 17 sustainable development goals (SDGs) and their 169 targets are ambitious, broadly encompassing, and indivisible. They are intended to guide nations and communities toward attaining healthy and peaceful livelihoods free of poverty and hunger. Collectively the goals envision sound and safe environments, where global threats like climate change are successfully combated through both mitigation and adaptation. Agenda 2030 envisages sustainable …

Crowdsourced Delphis: Designing Solutions To Complex Environmental Problems With Broad Stakeholder Participation, Sarah Coleman, Stephanie Hurley, Christopher Koliba, Asim Zia

College of Agriculture and Life Sciences Faculty Publications

There is a well-established need for increased stakeholder participation in the generation of adaptive management approaches and specific solutions to complex environmental problems. However, integrating participant feedback into current science, research, and decision-making processes is challenging. This paper presents a novel approach that marries a rigorous Delphi method, borrowed from policy and organizational sciences, with contemporary “crowdsourcing” to address the complex problems of water pollution exacerbated by climate change in the Lake Champlain Basin. In an online Delphi forum that occurred over a six-week period during the Spring of 2014, fifty-three participants proposed and commented on adaptive solutions to address …

Crowdsourced Delphis: Designing Solutions To Complex Environmental Problems With Broad Stakeholder Participation, Sarah Coleman, Stephanie Hurley, Christopher Koliba, Asim Zia

College of Agriculture and Life Sciences Faculty Publications

There is a well-established need for increased stakeholder participation in the generation of adaptive management approaches and specific solutions to complex environmental problems. However, integrating participant feedback into current science, research, and decision-making processes is challenging. This paper presents a novel approach that marries a rigorous Delphi method, borrowed from policy and organizational sciences, with contemporary “crowdsourcing” to address the complex problems of water pollution exacerbated by climate change in the Lake Champlain Basin. In an online Delphi forum that occurred over a six-week period during the Spring of 2014, fifty-three participants proposed and commented on adaptive solutions to address …

Adults And Children In Low-Income Households That Participate In Cost-Offset Community Supported Agriculture Have High Fruit And Vegetable Consumption, Karla L. Hanson, Jane Kolodinsky, Weiwei Wang, Emily H. Morgan, Stephanie B. Jilcott Pitts, Alice S. Ammerman, Marilyn Sitaker, Rebecca A. Seguin

College of Agriculture and Life Sciences Faculty Publications

Licensee MDPI, Basel, Switzerland. This paper examines fruit and vegetable intake (FVI) in low-income households that participated in a cost-offset (CO), or 50% subsidized, community-supported agriculture (CSA) program. CSA customers paid farms upfront for a share of the harvest, and received produce weekly throughout the growing season. A cohort of adults and children 2-12 y in a summer CO-CSA were surveyed online twice: August 2015 (n = 41) and February 2016 (n = 23). FVI was measured by the National Cancer Institute’s (NCI) Fruit and Vegetable Screener (FVS) and an inventory of locally grown fruits and vegetables. FVI relative to …

Evaluation Of A Proposal For Reliable Low-Cost Grid Power With 100% Wind, Water, And Solar, Christopher T.M. Clack, Staffan A. Qvist, Jay Apt, Morgan Bazilian, Adam R. Brandt, Ken Caldeira, Steven J. Davis, Victor Diakov, Mark A. Handschy, Paul D.H. Hines, Paulina Jaramillo, Daniel M. Kammen, Jane C.S. Long, M. Granger Morgan, Adam Reed, Varun Sivaram, James Sweeney, George R. Tynan, David G. Victor, John P. Weyant, Jay F. Whitacre

College of Engineering and Mathematical Sciences Faculty Publications

A number of analyses, meta-Analyses, and assessments, including those performed by the Intergovernmental Panel on Climate Change, the National Oceanic and Atmospheric Administration, the National Renewable Energy Laboratory, and the International Energy Agency, have concluded that deployment of a diverse portfolio of clean energy technologies makes a transition to a low-carbon-emission energy system both more feasible and less costly than other pathways. In contrast, Jacobson et al. [Jacobson MZ, Delucchi MA, Cameron MA, Frew BA (2015) Proc Natl Acad Sci USA 112(49):15060-15065] argue that it is feasible to provide "low-cost solutions to the grid reliability problem with 100% penetration of …

Characterizing Landscape-Scale Erosion Using 10be In Detrital Fluvial Sediment: Slope-Based Sampling Strategy Detects The Effect Of Widespread Dams, Lucas J. Reusser, Paul R. Bierman, Donna M. Rizzo, Eric W. Portenga, Dylan H. Rood

College of Engineering and Mathematical Sciences Faculty Publications

Concentrations of in situ 10Be measured in detrital fluvial sediment are frequently used to estimate long-term erosion rates of drainage basins. In many regions, basin-averaged erosion rates are positively correlated with basin average slope. The slope dependence of erosion allows model-based erosion rate estimation for unsampled basins and basins where human disturbance may have biased cosmogenic nuclide concentrations in sediment. Using samples collected from southeastern North America, we demonstrate an approach that explicitly considers the relationship between average basin slope and erosion rate. Because dams and reservoirs are ubiquitous on larger channels in the field area, we selected 36 undammed …

Simon's Fundamental Rich-Get-Richer Model Entails A Dominant First-Mover Advantage, Peter Sheridan Dodds, David Rushing Dewhurst, Fletcher F. Hazlehurst, Colin M. Van Oort, Lewis Mitchell, Andrew J. Reagan, Jake Ryland Williams, Christopher M. Danforth

College of Engineering and Mathematical Sciences Faculty Publications

Herbert Simon's classic rich-get-richer model is one of the simplest empirically supported mechanisms capable of generating heavy-tail size distributions for complex systems. Simon argued analytically that a population of flavored elements growing by either adding a novel element or randomly replicating an existing one would afford a distribution of group sizes with a power-law tail. Here, we show that, in fact, Simon's model does not produce a simple power-law size distribution as the initial element has a dominant first-mover advantage, and will be overrepresented by a factor proportional to the inverse of the innovation probability. The first group's size discrepancy …

Farm Fresh Foods For Healthy Kids (F3hk): An Innovative Community Supported Agriculture Intervention To Prevent Childhood Obesity In Low-Income Families And Strengthen Local Agricultural Economies, Rebecca A. Seguin, Emily H. Morgan, Karla L. Hanson, Alice S. Ammerman, Stephanie B. Jilcott Pitts, Jane Kolodinsky, Marilyn Sitaker, Florence A. Becot, Leah M. Connor, Jennifer A. Garner, Jared T. Mcguirt

College of Agriculture and Life Sciences Faculty Publications

Background: Childhood obesity persists in the United States and is associated with serious health problems. Higher rates of obesity among children from disadvantaged households may be, in part, attributable to disparities in access to healthy foods such as fruits and vegetables. Community supported agriculture can improve access to and consumption of fresh produce, but the upfront payment structure, logistical barriers, and unfamiliarity with produce items may inhibit participation by low-income families. The aim of this project is to assess the impact of subsidized, or "cost-offset," community supported agriculture participation coupled with tailored nutrition education for low-income families with children. Methods/design: …

Reducing Cascading Failure Risk By Increasing Infrastructure Network Interdependence, Mert Korkali, Jason G. Veneman, Brian F. Tivnan, James P. Bagrow, Paul D.H. Hines

College of Engineering and Mathematical Sciences Faculty Publications

Increased interconnection between critical infrastructure networks, such as electric power and communications systems, has important implications for infrastructure reliability and security. Others have shown that increased coupling between networks that are vulnerable to internetwork cascading failures can increase vulnerability. However, the mechanisms of cascading in these models differ from those in real systems and such models disregard new functions enabled by coupling, such as intelligent control during a cascade. This paper compares the robustness of simple topological network models to models that more accurately reflect the dynamics of cascading in a particular case of coupled infrastructures. First, we compare a …

Connecting Every Bit Of Knowledge: The Structure Of Wikipedia's First Link Network, Mark Ibrahim, Christopher M. Danforth, Peter Sheridan Dodds

College of Engineering and Mathematical Sciences Faculty Publications

Apples, porcupines, and the most obscure Bob Dylan song—is every topic a few clicks from Philosophy? Within Wikipedia, the surprising answer is yes: nearly all paths lead to Philosophy. Wikipedia is the largest, most meticulously indexed collection of human knowledge ever amassed. More than information about a topic, Wikipedia is a web of naturally emerging relationships. By following the first link in each article, we algorithmically construct a directed network of all 4.7 million articles: Wikipedia's First Link Network. Here, we study the English edition of Wikipedia's First Link Network for insight into how the many articles on inventions, places, …

Transitions In Climate And Energy Discourse Between Hurricanes Katrina And Sandy, Emily M. Cody, Jennie C. Stephens, James P. Bagrow, Peter Sheridan Dodds, Christopher M. Danforth

College of Engineering and Mathematical Sciences Faculty Publications

Although climate change and energy are intricately linked, their explicit connection is not always prominent in public discourse and the media. Disruptive extreme weather events, including hurricanes, focus public attention in new and different ways offering a unique window of opportunity to analyze how a focusing event influences public discourse. Media coverage of extreme weather events simultaneously shapes and reflects public discourse on climate issues. Here, we analyze climate and energy newspaper coverage of Hurricanes Katrina (2005) and Sandy (2012) using topic models, mathematical techniques used to discover abstract topics within a set of documents. Our results demonstrate that post-Katrina …

The Lexicocalorimeter: Gauging Public Health Through Caloric Input And Output On Social Media, Sharon E. Alajajian, Jake Ryland Williams, Andrew J. Reagan, Stephen C. Alajajian, Morgan R. Frank, Lewis Mitchell, Jacob Lahne, Christopher M. Danforth, Peter Sheridan Dodds

College of Engineering and Mathematical Sciences Faculty Publications

We propose and develop a Lexicocalorimeter: an online, interactive instrument for measuring the "caloric content" of social media and other large-scale texts. We do so by constructing extensive yet improvable tables of food and activity related phrases, and respectively assigning them with sourced estimates of caloric intake and expenditure. We show that for Twitter, our naive measures of "caloric input", "caloric output", and the ratio of these measures are all strong correlates with health and well-being measures for the contiguous United States. Our caloric balance measure in many cases outperforms both its constituent quantities; is tunable to specific health and …

Integrating Fisheries And Agricultural Programs For Food Security, Brendan Fisher, Robin Naidoo, John Guernier, Kiersten Johnson, Daniel Mullins, Dorcas Robinson, Edward H. Allison

Rubenstein School of Environment and Natural Resources Faculty Publications

Background: Despite the connections between terrestrial and marine/freshwater livelihood strategies that we see in coastal regions across the world, the contribution of wild fisheries and fish farming is seldom considered in analyses of the global food system and is consequently underrepresented in major food security and nutrition policy initiatives. Understanding the degree to which farmers also consume fish, and how fishers also grow crops, would help to inform more resilient food security interventions. Results: By compiling a dataset for 123,730 households across 6781 sampling clusters in 12 highly food-insecure countries, we find that between 10 and 45% of the population …

Master's Project: A Case Study Of The "Benet Land Problem" In Eastern Uganda, Anna Dirkse

Rubenstein School Masters Project Publications

Boundaries are inherently political creations. Boundaries of national parks and other protected conservation areas are one such instance. Social boundary lines are also drawn within communities to determine who is legitimate and who is allowed to access resources as a community member. Boundary lines are also present in the stories people tell about themselves and their environment; the portrayal of their roles as land stewards may leave out certain details. The effects of environmental issues such as deforestation and soil erosion transcend such constructed boundaries.

Historically, the Benet, as indigenous peoples of eastern Uganda, had derived their livelihood and cultural …

Reducing Greenhouse Gas Emissions In Agriculture Without Compromising Food Security?, Stefan Frank, Petr Havlík, Jean François Soussana, Antoine Levesque, Hugo Valin, Eva Wollenberg, Ulrich Kleinwechter, Oliver Fricko, Mykola Gusti, Mario Herrero, Pete Smith, Tomoko Hasegawa, Florian Kraxner, Michael Obersteiner

Rubenstein School of Environment and Natural Resources Faculty Publications

To keep global warming possibly below 1.5◦C and mitigate adverse effects of climate change, agriculture, like all other sectors, will have to contribute to efforts in achieving net negative emissions by the end of the century. Cost-efficient distribution of mitigation across regions and economic sectors is typically calculated using a global uniform carbon price in climate stabilization scenarios. However, in reality such a carbon price would substantially affect food availability. Here, we assess the implications of climate change mitigation in the land use sector for agricultural production and food security using an integrated partial equilibrium modelling framework and explore ways …

The Database Of The Predicts (Projecting Responses Of Ecological Diversity In Changing Terrestrial Systems) Project, Lawrence N. Hudson, Tim Newbold, Sara Contu, Samantha L.L. Hill, Igor Lysenko, Adriana De Palma, Helen R.P. Phillips, Tamera I. Alhusseini, Felicity E. Bedford, Dominic J. Bennett, Hollie Booth, Victoria J. Burton, Charlotte W.T. Chng, Argyrios Choimes, David L.P. Correia, Julie Day, Susy Echeverría-Londoño, Susan R. Emerson, Di Gao, Morgan Garon, Michelle L.K. Harrison, Daniel J. Ingram, Martin Jung, Victoria Kemp, Lucinda Kirkpatrick, Callum D. Martin, Yuan Pan, Gwilym D. Pask-Hale, Edwin L. Pynegar, Alexandra N. Robinson, Katia Sanchez-Ortiz

Rubenstein School of Environment and Natural Resources Faculty Publications

The PREDICTS project—Projecting Responses of Ecological Diversity In Changing Terrestrial Systems (www.predicts.org.uk)—has collated from published studies a large, reasonably representative database of comparable samples of biodiversity from multiple sites that differ in the nature or intensity of human impacts relating to land use. We have used this evidence base to develop global and regional statistical models of how local biodiversity responds to these measures. We describe and make freely available this 2016 release of the database, containing more than 3.2 million records sampled at over 26,000 locations and representing over 47,000 species. We outline how the database can help in …

Forest Carbon Projects In The Ukrainian Carpathians: An Assessment Of Potential Community Impacts And Benefits, Amanda R. Egan, William S. Keeton, Cecilia M. Danks, Ihor Soloviy, Asim Zia

Rubenstein School of Environment and Natural Resources Faculty Publications

Reducing emissions from deforestation and degradation (REDD+) is a frequently promoted climate change mitigation strategy. As forest carbon projects proceed, we are learning how they affect local sovereignty and resource access, particularly in developing economies. Central and Eastern Europe’s temperate forests offer potential for projects, yet little is known about how the sociopolitical context of these transitional economies may influence project success. In this article, we enhance understanding of potential community impacts and explore opportunities for fair benefit distribution in Ukraine’s Carpathian Mountain region. Through a thematic qualitative and interpretive analysis of interviews and observational data, we: (1) describe what …

When, Where, And How Nature Matters For Ecosystem Services: Challenges For The Next Generation Of Ecosystem Service Models, Jesse T. Rieb, Rebecca Chaplin-Kramer, Gretchen C. Daily, Paul R. Armsworth, Katrin Böhning-Gaese, Aletta Bonn, Graeme S. Cumming, Felix Eigenbrod, Volker Grimm

Rubenstein School of Environment and Natural Resources Faculty Publications

Many decision-makers are looking to science to clarify how nature supports human well-being. Scientists' responses have typically focused on empirical models of the provision of ecosystem services (ES) and resulting decision-support tools. Although such tools have captured some of the complexities of ES, they can be difficult to adapt to new situations. Globally useful tools that predict the provision of multiple ES under different decision scenarios have proven challenging to develop. Questions from decision-makers and limitations of existing decision-support tools indicate three crucial research frontiers for incorporating cutting-edge ES science into decision-support tools: (1) understanding the complex dynamics of ES …

Exploration Of New Methods In Long Distance Transportation Data Collection And Tourism Travel In Vermont, Benjamin Kaufman

Graduate College Dissertations and Theses

ABSTRACT

Human transportation patterns have continued to shift and increase in rate as technology has made travel between spatially disparate locations more feasible. These movements are responsible for approximately one third of global carbon emissions, and account for one half of Vermont’s greenhouse gas output. Modeling transportation behaviors is difficult due to changing travel patterns and issues of surveying human participants. Long distance travel patterns are especially difficult and have not received the attention that urban mobility has within the literature.

In this Masters thesis, I describe current methods of transportation data collection and propose new methods, as well as …