Using Anthropometric Measurements to Design Ergonomic Infant and Toddler Gear

(Georgia Institute of Technology, 2019-12-05) Pardue, Emily Louisa

Infants grow so quickly that gear can have a shockingly short life span. Parents often do a quick calculation before purchases: divide the cost by how many months it will be used. Thus, products that are meant to “grow-with-me” or last for multiple infant stages are extremely desirable. Infant-to-toddler rockers are an example of this type of product. However, the researchers have found that the current infant-to-toddler rocker models on the market could be improved. The goal of this project was to use anthropometric data of children to design an ergonomic infant-to-toddler rocker. Anthropometric data was collected on 58 children in order to properly size a new design for a rocker which lasts from 0 to 36 months old. Researchers also found based on parent interviews, a survey, and child interactions, that the needs of infants are very different from the needs of toddlers. Infants are still developing muscle tone, and it is important for them to be supported in a semi-reclined position. Toddlers are extremely active and need a device which allows them to ingress and egress independently. Concepts were developed, and prototypes built to demonstrate the new concepts. These prototypes were then tested with parents and children to gather feedback and improve designs. The final design is an ergonomic rocker which adjusts in size and recline angle to serve the infants that need to be secure and reclined, as well as the ambulatory toddlers.
Backstage Staff Communication: The Effects of Different Levels of Visual Exposure to Patients

( 2019-11-21) Lim, Lisa ; Kanfer, Ruth ; Stroebel, Robert J. ; Zimring, Craig

Objective: This article examines how visual exposure to patients predicts patient-related communication among staff members. Background: Communication among healthcare professionals private from patients, or backstage communication, is critical for staff teamwork and patient care. While patients and visitors are a core group of users in healthcare settings, not much attention has been given to how patients' presence impacts staff communication. Furthermore, many healthcare facilities provide team spaces for improved staff teamwork, but the privacy levels of team areas significantly vary. Method: This article presents an empirical study of four team-based primary care clinics where staff communication and teamwork are important. Visual exposure levels of the clinics were analyzed, and their relationships to staff members' concerns for having backstage communication, including preferred and nonpreferred locations for backstage communication, were investigated. Results: Staff members in clinics with less visual exposure to patients reported lower concerns about having backstage communication. Staff members preferred talking in team areas that were visually less exposed to patients in the clinic, but, within team areas, the level of visual exposure did not matter. On the other hand, staff members did not prefer talking in visually exposed areas such as corridors in the clinic and visually exposed areas within team spaces. Conclusions: Staff members preferred talking in team areas, and they did not prefer talking in visually exposed areas. These findings identified visually exposed team areas as a potentially uncomfortable environment, with a lack of agreement between staff members' preferences toward where they had patient-related communication.
A methodological assessment of extreme heat mortality modeling and heat vulnerability mapping in Atlanta, Detroit, and Phoenix

(Georgia Institute of Technology, 2019-11-12) Mallen, Evan Sheppard

Extreme temperatures pose an increasingly high risk to human health and are projected to worsen in a warming climate with increased intensity, duration and frequency of heat waves, further amplified by the urban heat island, in the coming decades. To mitigate heat exposure and protect sensitive populations, urban planners are increasingly using decision support tools like heat vulnerability indices (HVIs) to identify high priority areas for intervention and investment. However, HVIs often capture only proxy heat exposure indicators at the land surface level, not air temperatures that humans experience, and are highly subjective in their construction methodology. This gap can be filled using regional climate models like the Weather Research & Forecasting (WRF) model to simulate air temperatures comprehensively over a city, coupled with a heat exposure-response function to objectively estimate mortality attributable to heat. But this method is often beyond the capabilities of local planning departments due to limitations in funding or technical expertise to run the model. Careful consideration of decision support tool selection will be an important factor in determining the future resilience of urban populations in a changing climate. Through a comparative analysis, this study investigates the relationship and utility of HVIs and spatial statistical attribution models with a focus on 1) the extent to which HVI methods can replicate spatial prioritization from a WRF-driven mortality model; 2) the relative significance of place-based vulnerabilities used in the HVI; and 3) the potential to reliably replicate a WRF-driven mortality model using publicly available datasets. This information can help urban planners and public health officials improve their emergency response plans and communication strategies for heat mitigation by specifically targeting short and long-term responses where there is greatest need. These techniques equip planners with a useful and accessible tool to protect vulnerable populations effectively and efficiently with minimal public funds and could advance the policies we use to adapt to a changing climate.
Building the Carbon Positive City: Architectural Experiments in Mass Timber and Bio-Diversity

(Georgia Institute of Technology, 2019-11) Marble, Scott ; Organschi, Alan ; Yocum, David ; Dortdivanlioglu, Hayri

This book documents the architectural projects produced in the Portman Prize Studio in the Spring 2019. Within the M. Arch. professional degree program at Georgia Tech, the Portman Studio is the final in a sequence of five introductory and advanced architectural design studios at the School, and takes the form of a semester-long, integrated building design assignment.
Analyzing the difference between bike share trips made on regular and electric bicycles

(Georgia Institute of Technology, 2019-09-11) Borsch, Adam

In 2017, JUMP Bicycle Company introduced dockless electric bicycles in several cities in the United States. Two of these cities were Austin, TX, and Atlanta, GA, both of which already had bikeshare companies operating with traditional non-electric bicycle fleets. This makeup of two unique sources of data for non-electric and electric bikeshare in these two cities presents a unique opportunity to study the difference between trips made on a pedal-assist bicycle and a standard bicycle that are a part of an urban bikeshare network. To conduct this work, the researchers collected three months of data in each of the cities and analyzed the data by comparing trip counts, mapping the origins and destinations and the routes of the trips, and finally analyzing the distance and other characteristics of the trips. The results of the study found an increase in the number of bikeshare trips taken in both cities, however, many of these new electric bicycle trips come at the expense of existing bikeshare trips. The geographic area covered by the trips increase greatly when electric bicycles trips are compared to regular bike trips in both cities, however, the average trip lengths stayed constant. Results suggest the introduction of electric bikeshares is a promising prospect to increase mobility and will need to be incorporated into transportation plans for cities moving forward.
Economic and social sustainability of sidewalk infrastructure

(Georgia Institute of Technology, 2019-08-27) Patel, Deep

The presence of sidewalks and quality of sidewalk infrastructure are important indicators of perceived pedestrian safety and the walkability of neighborhoods. However, a wide gap exists between the accessibility and quality of infrastructure provided for pedestrians compared to the infrastructure provided for motorized vehicles. While there may be numerous reasons for poor quality of pedestrian infrastructure across cities and neighborhoods, one of the main reasons is the lack of sustained operation and maintenance programs among these local government agencies. This study outlines an approach to quantify sidewalk infrastructure costs over an 80-year life cycle period. Equivalent annual costs for three different scenarios are allocated in part directly to property owners, with the remaining costs in each scenario recovered over time through an equivalent increase in property tax millage rates. The four sidewalk management scenarios are then examined in more detail to assess how implementation may differentially impact Atlanta’s 244 neighborhoods and their residents across income and ethnicity groups. The two somewhat surprising findings of the study are: 1) even though sidewalk infrastructure may have a lifespan of more than 40-years, the costs of owning and operating this infrastructure over an 80-year period with replacement are high; and 2) low income neighborhoods are negatively impacted when portions of sidewalk infrastructure management costs are allocated directly to property owners, rather than handling sustainable management through traditional property tax assessment methods.
Estimating managed lanes door-to-door travel timesavings using shortest path algorithms

(Georgia Institute of Technology, 2019-08-27) Chang, Chia-Huai

Implementing managed lanes, such as high-occupancy toll lanes, within existing urban highway corridors has become increasingly common in cities that want to provide a reliable transportation option but lack sufficient right-of-way to construct new corridors. This study develops a framework that utilizes a shortest path algorithm to compare before and after commute routes and estimate the change in door-to-door travel time offered by managed lane facilities. Using this modeling approach, a case study is explored for the Northwest Corridor (NWC) managed lane facility located in the Atlanta, Georgia, region. The shortest path routines predict that the facility provides a 21.0% - 27.1% decrease in door-to-door travel time for the NWC managed lane users, and a 5.8% – 12.0% travel time decrease for non-NWC general-purpose lane users, for corridor travelers departing home between 6:30 and 8:30 A.M. (traversing the corridor between 6:30 A.M. and 10:00 A.M.). This framework can be easily customized and applied to any other commute route/time change assessment for major managed lane projects.
Estimating demand for an electric vertical landing and takeoff (eVTOL) air taxi service using discrete choice modeling

(Georgia Institute of Technology, 2019-07-30) Boddupalli, Sreekar-Shashank

Urban Air Mobility (UAM), often referred to in the press as “flying cars,” is slated to be the next big thing in transportation. As congestion continues to increase on our roads and transit systems are in dire need of maintenance, commuters are looking out for other alternatives that can save time, and be cost-efficient, safe, and comfortable. With numerous companies vying to launch their service in the early part of the next decade, it is essential to analyze the effectiveness of UAM solutions and model how UAM could compete against the other, more established modes of transportation. A travel demand modeling study, on the basis of the utility maximization theory, has been conducted based on a stated preference survey of 2,500 commuters living and working in the Atlanta, Boston, Dallas-Ft. Worth, San Francisco, and Los Angeles areas. The study provides estimates of market share for the new air taxi service assuming current market conditions (i.e., no autonomous ground vehicles).
It takes green to go green: An Atlanta-based evaluation of employer-provided commuting incentives as a method to overcome work site car-dependency

(Georgia Institute of Technology, 2019-07-30) Greenwald, Jeremy Adams

Transportation Demand Management (TDM) is the concept of applying travel options and incentives to mitigate the effects of congestion through human travel behavior change. While traditionally applied in a municipal context, TDM has recently penetrated the corporate landscape, where employers utilize financial incentives and work place perks to achieve a commuter mode shift in their employee population that often results in financial benefits and increased employee well-being and productivity. A limitation in current employer-based TDM and within existing relevant literature is the arbitrary nature in which transportation alternatives and incentives are applied. This thesis, and the incorporated Atlanta, GA employer case study, aims to further define the influence of travel-related behaviors within employee populations and the targeted methods of incentivization that could be applied to overcome alternative mode barriers. This research specifically evaluates the viability of carpooling and transit as alternative modes within the corporate commuting landscape, distinguishing between carpool driver and carpool passenger. A mixed-method survey approach is utilized to inform a multinomial logistic regression analysis that produces utility measures for socio-demographic and TDM-related variables. This work offers value to the field of corporate TDM by providing a contemporary reference point for TDM practitioners that can help them effectively target incentives to achieve their workplace commuting-related objectives.
Decision support system for the integration of sustainable parameters in single-family housing project delivery

(Georgia Institute of Technology, 2019-07-26) Tijo, Silvia Juliana

The implementation of sustainable practices in building construction has a direct impact on the financial, environmental, and social dimensions of sustainable development. Powering and heating buildings consumes enormous amounts of energy, and the residential and commercial building sector remains the largest end-use sector for energy in the U.S. The fact that actual energy consumption of this sector is two-fifths of the total energy consumption in the United States represents a significant economic opportunity for the country. In spite of the progress in performance and affordability of sustainable technologies, materials, and systems, the residential sector is behind in adopting these in single-family homes. Several building aspects must undergo evaluation under a holistic approach to achieving the technical and economic success of the project, but the fragmentation of the industry and the required expertise level for using existing simulating tools represent a barrier for this purpose. In residential projects, the selection of design and construction parameters occurs mostly during the early stages of the pre-construction process, while the majority of the building simulation tools require information from late stages of the process. During the early stages, the designer cannot easily predict the impact of decisions on building performance and cost. Furthermore, existing methodologies do not integrate project goals in early stages (i.e., pre-design, conceptual design, and schematic design) of the pre-construction process. Without these methodologies, selecting sustainable parameters for housing delivery and implementing sustainable principles is difficult, and consequently jeopardizes reaching sustainable goals for the building. The result of this research is a decision support system (DSS) that uses the analytic hierarchy process (AHP) and system dynamics (SD) to assist decision makers in the selection of construction parameters for sustainable housing. The proposed DSS integrates a set of project goals in the process of selecting alternatives, allowing a balance between the preferences of the decision maker and the solution that better fits those preferences. The approach focuses more on using DSS to support design exploration rather than finding optimal solutions. Given the iterative nature of the design process and the fragmentation of the construction industry, the proposed DSS provides information about costs, duration, and environmental impact of the alternatives at early stages of the project development. Therefore, an objective comparison of different design alternatives under identical conditions can take place, and the decision maker can learn from the effects of new decisions over other parameters that are interrelated. The outcomes of the research can help developers, architects, and home-owners to define sustainable parameters at early stages of the project delivery when the impact of their decisions is higher, and the cost of implementing changes is lower than in the later stages.