Understanding Urban Development and Water Quality Through Scenarios

The Clean Air Act establishes a framework for regions to target environmental outcomes related to air quality in long-range transportation planning in the United States. Similarly, the Clean Water Act establishes a framework for regions to improve their environmental performance regarding water quality standards when regulating land development. However, these policy and planning frameworks do not reflect the well-established relationship between transportation and land use. Is this a problem? I applied the land use/transportation model TRANUS in parallel with the EPA's Storm Water Management Model (SWMM) to simulate the water quality outcomes of two alternative long-range transportation plans for Mecklenburg County in North Carolina. I found that alternative regional urban forms can significantly influence only the spatial pattern of stormwater runoff. This finding departs substantially from previous research suggesting that development strategies that promote densification can reduce per capita stormwater runoff. These results suggest that regional growth management strategies developed to meet air quality goals are not optimal for meeting watershed protection goals. Parallel and competing planning processes for land use and transportation produce suboptimal outcomes. In the context of a region, municipalities and planners have multiple goals at different scales which are sometimes in conflict. Achieving full transparency about tradeoffs between alternatives is particularly fraught because the costs and benefits inherent in these competing goals are not experienced at the same spatial scale, or by the same localities or classes of people. With regard to environmental performance, the federal government plays a unique role in mandating planning and promoting best management practices. The results of this study suggest that there is a real opportunity for the EPA and USDOT to integrate transportation and land use planning through regulatory requirements and incentives.Doctor of Philosoph

Strategies for Monitoring Multiuse Trail Networks: Implications for Practice

Many municipalities, park districts, and nonprofit organizations have begun monitoring nonmotorized traffic on multiuse trails as the need for information about the use of facilities has grown and relatively low-cost sensors for automated monitoring have become available. As they have gained experience, they have begun to move from site-specific monitoring on individual trails to a more comprehensive monitoring of trail networks. This case study review compares strategies developed by 10 organizations for monitoring traffic on multiuse trails, including local, multicounty, statewide, and multistate trail networks. The focus is on approaches to the design of monitoring networks, particularly the rationales or objectives for monitoring and the selection of monitoring sites. It is shown that jurisdictions are following principles of monitoring established by FHWA and that the design of monitoring networks is evolving to meet new challenges, including monitoring large-scale networks. Relevant outcomes and implications for practice are summarized. The researchers concluded that FHWA guidelines can be adapted to many circumstances and can increase information for decision making. Trail monitoring is informing decisions related to facility planning, investment, and safety

Challenges in Monitoring Regional Trail

This study reports traffic monitoring results at 30 locations on a 972-mi shared-use trail network across the east-central United States. We illustrate challenges in adapting the principles in the Federal Highway Administration’s Traffic Monitoring Guide to a regional trail network. We make four contributions: 1) we use factor analysis and k-means clustering to implement a stratified random process for selecting monitoring sites; 2) we illustrate quality assurance procedures and the challenges of obtaining valid results from a multi-state monitoring system; 3) we describe variation in trail traffic volumes across five land use classes in response to daily weather and seasons; and 4) we report two performance measures for the network: annual average daily trail traffic and trail miles traveled. The Rails to Trails Conservancy deployed passive infrared traffic monitors in 2015 through 2017. Site-specific regression models were used to impute missing daily traffic volumes. The effects of weather were consistent across land use classes but the effects of temporal variables, including weekend and season of year, varied. A plan for short-duration monitoring is presented. Results confirm the FHWA monitoring principles and the difficulties of implementing them regionally

Development of a survey tool to quantify health impacts of trail use

While cost-benefit analysis has been employed in highway planning processes for decades, such analytical approaches are less frequently used in trail planning due to the limited availability of data and methodologies for quantifying trail benefits. As a result, even projects that provide critical access to safe, high-quality open space with real mobility and health benefits are often considered “amenities,” rather than “needs.” Individual agencies and trail project sponsors have measured trail use and benefits along local greenways, but there currently are no generalizable methods for predicting demand or conducting impact assessment on trails. To address this gap, the Rails-to-Trails Conservancy (RTC) is developing the Trail Modeling and Assessment Platform (T-MAP), a set of trail planning data collection and analysis tools, including a trail user survey. The T-MAP survey tool was developed to allow implementing agencies to learn more about trail use and users, especially users’ physical activity. This paper describes the development of a survey instrument and sampling protocol that yielded a response rate of 55% in field testing. The survey includes questions from the Global Physical Activity Questionnaire, an internationally validated instrument developed by the World Health Organization. We report the results of testing the effect of alternative survey distribution methods (in-person interview and online post-survey) and incentives on overall response rates and sample bias across multiple population variables, including gender, age, trail use mode, overall health status, and physical activity frequency. The highest response rates (64%) were achieved through a combination of personal intercept interview with incentive, followed by online participation after receiving a card from a surveyor on the trail. When designing a survey data collection and sampling plan, decisions such as whether to use field workers, to offer incentives, and the survey administration format all impact the response rate and the representativeness of the sample, and thus the cost and quality of the data collected. These findings can help trail managers, local planners, or advocates to estimate survey administration costs and maximize returns through efficient and valid data collection to conduct trail benefit assessments based on high-quality data

Evolution and Effect of Transportation Policy on Public Transit: Lessons from Beijing

The United Nations predicts that half the world’s population will live in cities by 2008. Thus, rapid urban sprawl, and especially its traffic congestion, is a global problem. Meeting mobility needs of urban dwellers is critical to sustaining growth and social stability, but many major cities struggle to do so. The evolving situation in Beijing, is examined, and the policy-making process in Beijing is analyzed to understand why transportation problems occur and are intractable and how they can be solved. A structure of policy making is proposed that includes four factors: institutional, travel behavior, ideals, and landmark events. The analysis includes a case study and comparison of transit service in Beijing and other cities, including results from the latest transit level-of-service rider survey in Beijing. It is concluded that an imbalance between transportation supply and demand is the primary cause of traffic congestion. The transportation problem must be solved from two sides: increasing supply and managing demand simultaneously. Public transit, paired with transportation demand management, is an effective approach for sustainable transportation but requires a range of policies