The University of Utah has a new data visualization service to offer to state DOTs and other agencies. Using Small Starts funding from NITC, researcher Nikola Markovic and his team have developed a suite of visual analysis tools to demonstrate how GPS trajectory data can help accurately model and analyze mobility trends. These data are typically purchased from vendors, which means that transportation agencies must first understand the benefits before they decide to invest in data acquisition. To help agencies see that value, the research team purchased one month of Utah trajectory data to work with, which included detailed information about 2.5 million trips. The researchers created several visual analysis tools to highlight the usefulness and value of GPS trajectory data in transportation planning and performance measurement. The interactive online animations included: Vehicles Traveling; Utah Variable Traffic Density Heatmap; Trips Between Counties, Chord Diagram; and Trips Entering and Exiting Salt Lake City.

We are also using GPS data in the analysis of the Istanbul BRT line with fully GPS-equipped buses and also big data of electronic fare card records to investigate the passengers' trip movements between origin and destination stations during peak hours and the day. In this respect, the final products of your research are useful especially in developing our visual presentations of the outcomes.
-Associate Professor, Yildiz Technical University

Learn more about Visual Exploration of Utah Trajectory Data and their Applications in Transportation, led by Nikola Markovic of University of Utah.

A national non-motorized count data archive, BikePed Portal provides a centralized standard count database for public agencies, researchers, educators, and other curious members of the public to view and download bicycle and pedestrian count data. It includes automated and manual counts from across the country, and supports screenline and turning movement counts. Pooling funds, the data archive was established in 2015 by researchers at Portland State University with project partners at Federal Highway Administration and many transportation agencies. Hau Hagedorn and data scientist Tammy Lee manage the continued development and implementation of BikePed Portal.

Another research project funded by NITC, led by Nathan McNeil of PSU, offers a method for monitoring the quality of this bike-ped count data. "There has been an effort to collect more bike-ped count data in recent years, but it hasn't been consistent in terms of what's being collected and how it's stored. If the data aren't in a uniform format, or aren't stored in a location where they can be easily accessed in bulk, then doing a deep scan of the data would be a challenge," McNeil said. 

Researchers at the Mineta Transportation Institute of the San Jose University used BikePed Portal data to examine the consistency between crowdsourced and traditionally collected count data to obtain more accurate bicyclist and pedestrian counts, which is critical to better designing active transportation-related facilities and empowering people who walk and cycle.

Learn more about Biking and Walking Quality Counts: Using “BikePed Portal” Counts to Develop Data Quality Checks and access the BikePed Portal here.

The transit industry is rapidly transitioning to electric buses because of the environmental and financial benefits they can offer, such as zero emissions, less noise, and lower maintenance costs. Electric buses also produce significantly lower greenhouse gas emissions than diesel, diesel hybrid and natural gas-powered buses, which is good news for tackling our climate crisis. Led by Xiaoyue Cathy Liu of the University of Utah, NITC researchers have created a web-based modeling tool for the Utah Transit Authority that lets transit providers explore the impacts of changing their system over to electric buses. The tool allows agencies to plan the most effective way to transition while prioritizing environmental equity, focusing first on low-income areas with poor air quality. Developed a modeling tool for transit agencies to determine how best to deploy battery-electric buses and stations that is both cost effective and consistent with agencies equity goals.

"The blocking piece is one of the more unique and helpful elements of this tool. We are making investments based on her recommendations, from the model and the tool, for five more high-powered chargers in our system.... You can optimize to a lot of different factors using her model. It's a really good tool in that you can use in multiple ways to make better business decisions for both your agency and the community."
-Manager of Systems Planning and Project Development, Utah Transit Authority

Learn more about Bi-objective Optimization for Battery Electric Bus Deployment Considering Cost and Environmental Equity, led by Xiaoyue Cathy Liu of University of Utah.

Photo courtesy of TriMet

We need better data and tools for decision-making. Our research advances the collection, methodology, and analysis of multimodal data that supports professionals and researchers in understanding and predicting human travel behavior in order to optimize those systems for both the providers and users. These new models and tools examine the implications of changes to the system on a range of outcomes including equity, the environment, and health. Download the full literature review of NITC research in multimodal data and modeling here, or you can download our two-page summary here.

In a series of NITC Research Roadmaps, we surveyed a decade of contributions across six areas of transportation research funded by the National Institute for Transportation and Communities (NITC).

Nonmotorized Count Data

Counts of people walking and bicycling are important for monitoring trends, planning new infrastructure, and analyzing safety. NITC research has advanced the state of the practice by improving data quality and standardization, as well as by integrating new technologies. One study fused traditional count data with emerging data sources from GPS and mobile devices to estimate network-wide bicycle volumes, and another study is looking into a similar method for crowdsourcing pedestrian data. NITC researchers have explored methods to assess passively collected and crowdsourced data for accuracy, representation, completeness, and bias. Improved sensor technology has a role to play as well: one recent NITC study developed a new intelligent multimodal traffic monitoring device using low-cost mmWave radar.

Transit Data

To assess public transportation in a holistic way – in terms of rider experience, travel time reliability, accessibility, safety, efficiency, and environmental and economic impacts – practitioners need a phenomenal amount of data from a variety of sources. NITC researchers have made great strides in making it easier to gather and use transit-related data. One NITC study used high-resolution bus data to create more precise and statistically valid trip time models. Another compared bus stop-level data with demand-responsive parking data to show the effect nearby parking prices had on bus ridership. A third study used built environment factors – density, diversity, and walkability – to classify neighborhoods and found that transit-oriented development residents walk more, take transit more, and spend less on transportation than their counterparts in other types of neighborhoods.

Survey Data

Travel surveys provide information about travel patterns that is necessary for planning and policymaking. However, current survey methods do not adequately capture active transportation trips, and may not accurately represent marginalized populations. NITC researchers have significantly refined travel survey methods, improving accuracy and making the data more context-sensitive. One NITC study recommended the creation of pooled samples with comparable and consistent data from cities, which could be beneficial for understanding relationships between travel behavior and the built environment. Other NITC studies have looked at making data collection methods more inclusive of marginalized populations through strategies like increased transparency, protection of privacy, and more robust community engagement.

Applications of Multimodal Data: Equity ​​

Despite recent improvements in household transportation survey methodologies, people of color and immigrant groups remain under sampled and understudied. A NITC study linked census population and housing data to a stratified random sample of households from the Oregon Household Activity Survey and found that the survey consistently overrepresented white households and underrepresented nonwhite households across the greater Portland area. The study developed a set of recommendations to improve the representation of diverse populations in travel surveys. Adoption of cashless fare systems has created barriers for lower-income transit riders. One NITC study explored the costs for agencies to maintain some cash options and found that simple approaches, such as cash collection onboard buses, can be quite cost effective at ensuring transit remains accessible and easy for all riders. Transit agencies currently lack guidelines for assessing the social equity impacts of replacing flat fare with distance-based fare structures. Another study found that shifting to a distance-based fare system may benefit low-income, elderly, and non-white populations; however, the effect is geographically uneven, and may be negative for members of these groups living on the urban fringe.

Applications of Multimodal Data: Economics

A national NITC study explored how investments in bicycle and pedestrian-focused street improvements can impact the economic vitality, business activities and neighborhood equity in surrounding areas across six cities. It found that, generally, street improvements yielded positive or non-significant impacts on business performance. Proximity to fixed guideway transit stations led to higher rents for commercial spaces and higher regional share of jobs closer to the transit station. One NITC study estimated development outcomes in response to transit and found market rent increases with respect to Fixed Guideway Transit (FGT) station proximity for all commercial types, but not for bus rapid transit (BRT). However, BRT systems are associated with positive development and job location outcomes. An earlier study revealed that BRT corridors gained new offices and multifamily apartments, and BRT station areas gained jobs in the manufacturing sector at a faster pace than the rest of the county.

Applications of Multimodal Data: Safety

Signal timing treatments can improve bicycle safety. A NITC study analyzed the operational impacts of various signal timing treatments on right-hook bicycle-vehicle conflicts. The research found that while a split leading bike interval treatment was useful in mitigating conflicts during the lead interval, the risk for bicyclists was then shifted to the stale green portion of the phase. The study also revealed that significant confusion was exhibited by both cyclists and drivers in a mixing zone, where bike and car traffic merged. The 2010 Highway Safety Manual provides methods for predicting the number of motor vehicle crashes on various facilities, but it includes a simplistic method for predicting the number of bicycle-related crashes. A NITC study developed the first bicycle-specific safety performance functions for segments in the U.S. and found that motor vehicle volume is a leading factor associated with more crashes between drivers and bicyclists. Bicyclist exposure, population density, and percent retail land use are also predictive.

Conclusion

Researchers and practitioners share common concerns about current data collection and processing strategies, especially a lack of standardization and validation. These limitations likely result in incomplete, inefficient, or even biased modeling strategies across all travel modes. Considering rapid changes in emerging data sources and technologies, as well as new travel modes, there is a clear need for greater scientific guidance and innovation on data collection, analysis, and modeling strategies.

What are the impacts and key findings of our research on how we can better collect, use, and model multimodal data? Learn more about some impact stories below.

This study related consumer behavior – the frequency of visits to a business establishment and the amount spent per trip – to patrons’ mode choices. The research team conducted intercept surveys on how customers arrived and how much they spent at 78 restaurants, bars and convenience stores throughout the Portland region. They found that only 43% of bar patrons, 63% of restaurant customers and 58% of convenience store shoppers drove — the rest took transit, biked, or walked. Those results surprised Clifton. “I didn’t expect a mode share for non-auto trips to be so high. In one auto-oriented community it was 40%.” Findings revealed important differences in spending and frequency by mode for different business types; however, when taken over the course of the month, spending was generally not significantly different by mode. Drivers did tend to spend more per trip, Clifton and her colleagues found, but they also shopped less often. The two effects basically canceled each other out. “People who walk and take transit are competitive consumers,” she says. One Portland-area convenience store chain was so struck by the study’s findings that it installed new bike racks outside its locations. This offers encouraging news for cities and local businesses as they strive to attain their sustainability goals through the encouragement of non-automobile modes.

“This study helped inform a reluctant property owner in my Utah county of the benefits of providing adequate pedestrian and bicycle access in front of their business.”
-Five County Association of Governments, Utah

Learn more about Examining Consumer Behavior and Travel Choices led by Kelly Clifton of Portland State University.

Traditionally the discussion about affordability has focused on housing. In late 2013, the Department of Housing and Urban Development (HUD) launched the Location Affordability Index (LAI) Portal - a dataset that uses models to estimate the median amount households spend on housing as well as transportation. The tool is meant to help people understand the combined costs of housing and transportation, and affordability, associated with living in a specific neighborhood. However, there was virtually no validation of the estimates in any setting, and no studies delving into how accurate the estimates are in the context of “shrinking” or weak-market cities.

To better understand the real costs of housing and transportation in a declining urban context, NITC researchers conducted a household-level survey on those financial burdens and budget trade-offs across 12 Census-tracts in Cleveland, Ohio. The survey found that less than 9% of those households resemble any household type used by the LAI, and that the assumptions of the LAI tool did not hold true in “shrinking cities”–cities that have experienced significant population loss. The particular difficulty with the shrinking city context is that as urban sprawl continues unchecked, the rate of land consumption grossly outpaces the rate of population change. As jobs move out from the city center toward more suburban locations, there is very little population growth to support funding that would enable transit agencies to get people to those jobs. The report provides policy recommendations to help transit authorities overcome these transportation burdens, including ridesharing and van pools, bike share programs, and better bicycle and pedestrian infrastructure.

"Dr. Ganning’s thorough and convincing analysis of the strengths and weaknesses of the Location Affordability Index led HUD to rethink using Census block groups as the geographical unit of analysis. As a result, Version 3 of the Location Affordability Index (published in April 2019) was generated at the Census tract level, addressing multiple data and methodological problems identified by Dr. Ganning in her 2017 article."
Josh Geyer, Office of Environment and Energy, High-Performance Buildings Team, U.S. Department of Housing and Urban Development

Learn more about the project What do we know about Location Affordability in U.S. Shrinking Cities? led by Joanna Ganning, Cleveland State University

This body of work represents the culmination of nearly a decade of research into the economic effects of transit: looking at 17 light rail transit (LRT), 14 bus rapid transit (BRT), 9 streetcar transit (SCT), and 12 commuter rail transit (CRT) systems in 35 metro areas across the United States. A surprising finding from this analysis was that transit systems vary substantially in their attractiveness to jobs with respect to place typology. A second surprising finding: while one might assume that higher wage jobs would be more attracted to transit stations than middle or lower wage jobs, this is not necessarily the case. Analysis revealed important contextual differences for each transit mode with regards to workers' wage group and distance.

The researchers developed a "Employment-Worker Balance (EWB)" metric. A more accessible workplace translates to a more productive and resilient workforce. Low EWB scores near transit stations reveal low-hanging fruit for planners who wish to increase economic and housing resiliency.

Learn more about Transit Impacts on Jobs, People and Real Estate led by Arthur Chris Nelson of University of Utah.

Dr. Kelly Clifton and Dr. Kristina Currans have a long history of NITC-funded research collaboration on coordinating transportation and land development. To date, their research findings have had a transformative impact on the development of the data and methods used in transportation impact analysis (TIAs). Their work has been included in the latest edition of Institute of Transportation Engineers Trip Generation Manual (2020) and Handbook (2014), the industry standard referenced for trip generation data. They have advised the local governments of Portland, Bend, Clackamas County on their development review process and methods for assessing transportation system development charges. The State of California has considered their findings in the CEQA analysis related to climate change. This body of work has produced new knowledge and contributed to making the land development and transportation planning process more equitable, multimodal, and environmentally sustainable. 

Despite having a receptive audience among transportation planners in public agencies in major U.S. cities, there are still barriers to widespread change from traditional development review processes that privilege the automobile to new approaches that place top priority on people. One of the pervasive challenges comes from community members’ lack of understanding of the complex issues involved in TIAs and the land development process, and fears of multifamily and infill housing and increased traffic congestion. The findings from their research and others need to be more widely communicated to the public in order to broaden understanding of the problem and policy solutions. 

To that end, NITC has funded a technology transfer grant to create a series of comics to translate this research to storyform and convey difficult concepts. Learn more about Communicating Research through Comics: Transportation and Land Development led by Kelly Clifton of Portland State University and Kristi Currans of University of Arizona.

Travel behavior and land use are interconnected. In academic research, travel itself is often treated as a demand derived from the activities for which it serves. In practice, coordinating and linking transportation and land use decision-making proves to be challenging. Download the full literature review of NITC research in transportation and land use here, or you can download our two-page summary here.

In a series of NITC Research Roadmaps, we surveyed a decade of contributions across six areas of transportation research funded by the National Institute for Transportation and Communities (NITC).

Travel Behavior, Land Use Patterns, and External Impacts

NITC research has helped to unpack the influences of the built environment on travel behavior. A series of studies investigating trip generation rates found that the Institute of Transportation Engineering Trip Generation Handbook vastly overestimates vehicle demand, and developed alternative methods to estimate pedestrian trips in urban environments. Other NITC studies have improved our understanding of how transit-oriented development (TOD) can improve transit access, increase multimodal travel, and decrease transportation costs associated with vehicle ownership and use. Over time, TOD neighborhoods encourage residents to walk and take transit more while driving less.

We have improved our understanding about the travel behavior of people living and working in dense urban centers. A study of 70+ retail and service locations observed higher rates of multimodal travelers than previously expected by industry standards. Having this qualitative information has made it easier for practitioners to predict the outcomes of new developments, and to meet goals on reducing greenhouse gas emissions, decreasing automobile traffic congestion, and improving air quality and overall public health.

Transportation, Jobs/Housing, and Property Value

Economic vitality is a primary goal that practitioners consider when evaluating transportation and land use plans. A series of NITC studies explored the contribution of transit investments – particularly fixed-guideway transit systems – on real estate values, as well as employer and household location changes. Quality transit investments see higher rates of adjacent development within walking distance to the station, and often corresponding increases in land value. This indicates a vast latent demand for high-quality, TOD’s in U.S. metropolitan areas. This study also offers a robust data repository, publicly accessible, containing demographic data for workers and longitudinal employment data in relation to 52 transit systems in 35 metro areas across the country.

Other NITC work has focused on the relationship between bike accessibility and economic measures, such as business vitality and property values. Higher bike accessibility ratings were associated with higher residential – especially multifamily – property values, as well as office, retail, services, and park employment. Significant attention has been placed on how to consider the social equity impacts of bike infrastructure, including the impact of new plans on historically marginalized communities.

Attitudes, Preferences, Choices, and Decision-Making

Attitudes and preferences for characteristics of travel, households, and neighborhoods play a powerful, but less understood, role in understanding how different strategies and programs might increase access to destinations, lower transportation costs, and improve quality of life. NITC has contributed several studies that explore market response to programs and strategies targeting improved access to services. One study evaluated whether a pilot transportation demand management program in Portland, Oregon improved mobility by providing a suite of discounted transportation services to low-income participants. More than half of the participants tried new transportation modes they had not used before, including bike share, transit and ride-hailing.

Other NITC work recommends evaluating transportation options before residential (or workplace) location choices are made. One study evaluated residential location preferences and found a dissonance between stated preferences and location choices; in that residents often say they prefer more dense, urban neighborhoods than they actually do move to. This indicates a latent demand for more multimodal and accessible neighborhoods.

Housing and Transportation Affordability and Vulnerable Communities

Increases in land value are often a result of increased competition for limited supply, and rising rents and property values can displace vulnerable households. While transportation infrastructure investments may aim to improve multimodal access to opportunities, they could be adding pressures to the very communities they sought to help. NITC research offers strategies to address this, including the recommendation that the U.S. Department of Housing and Urban Development’s direct subsidies to more compact, walkable, and transit-oriented neighborhoods.

National-scale performance metrics are incredibly valuable, but not without limitations. Several NITC studies have demonstrated the value of locally driven data and analysis that can better identify neighborhoods' and households' needs. While multimodal investments can improve location efficiency and affordability, successful implementation requires localized analysis and meaningful public participation to achieve results that benefit all members of the community. 

Our work has focused on vulnerable populations and the nuanced ways in which different people experience environments differently. These have included environmental justice populations within fast-growing suburban "boom towns;" refugee and immigrant communities in Texas and Arizona; people experiencing homelessless who access social services; and former inmates returning to society.

Integrated T&LU Planning and Evaluating Trade-Offs

Transportation and land use regulation and governance tend to be tied to different political jurisdictions, complicating the ability for local and regional practitioners to think about travel and land use in an integrated and complementary manner. NITC researchers have explored a variety of strategies to better synchronize transportation and land use planning. For example, rural towns and places with high natural amenity value are currently experiencing “big city problems” like rapid increases in population growth and tourism, low wages, lack of affordable housing, and income inequality. A series of NITC studies has focused on assessing challenges specific to these "Gateway and Natural Amenity Region Communities (GNAR)” to support stakeholders in effectively studying these areas to a degree that reflects their regional importance.

Conclusion

In order to move forward with more coordinated transportation and land use practice, it is essential that we identify, understand, and communicate the trade-offs on a wide range of goals and outcomes. The research summarized in this roadmap has taken steps toward achieving a variety of measurable outcomes that are sensitive to the implications for different populations, as well as producing evaluation and communication tools that can help facilitate discussions on these trade-offs as they correspond with both transportation and land use decisions.

What are the impacts and key findings of our research at the nexus of transportation, land use and housing, and the economic value of investing in multimodal infrastructure? Learn more about some impact stories below.

We go beyond research, looking at the classroom and how the next generation of transportation professionals will shape advancements in mobility. Our programs and curriculum are interdisciplinary - bridging gaps between planners and engineers, and U.S. universities. Programs include summer transportation camps for high school students, webinars for professionals, annual trainings on bike-ped curriculum for university educators, and more.

Learn about the impacts of our educational programs and curriculum on the transportation workforce. (coming soon)