Browsing by Author "McNally, Devin"
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Item Bicycle Accessibility GIS Analysis for Bike Master Planning with a Consideration of Level of Traffic Stress (LTS) and Energy Consumption(MDPI, 2022-12-20) McNally, Devin; Tillinghast, Rachel; Iseki, HiroyukiMeasuring the impact of bicycle infrastructure and other mobility improvements has been a challenge in the practice of transportation planning. Transportation planners are increasingly required to conduct complex analyses to provide supporting evidence for proposed plans and communicate well with both decision makers and the public. Cyclists experience two important factors on roads: (a) travel stress related to the built environment along with the traffic conditions and (b) changes in physical burden due to topography. This study develops a method that integrates an energy consumption calculation and “bicycling stress” score to take into account external conditions that influence cyclists substantially. In this method, the level of traffic stress (LTS) is used to select street segments appropriate for different comfort levels among cyclists and is combined with biking energy consumption, in addition to distance, which is used as travel impedance to consider the effects of slopes and street intersections. The integrated Geographic Information System (GIS) analysis methods are used to evaluate bicycle infrastructure improvements in the coming years in Montgomery County, MD, USA. The analysis results demonstrated that the infrastructure improvements in the county’s bike master plan are well-targeted to improve bicycling accessibility. Furthermore, the use of energy as opposed to distance to generate bikeshed areas results in smaller bikesheds compared to distance-generated bikesheds. The method presented herein allows planners to characterize and quantify the impact of bicycle infrastructure and prioritize locations for improvements.Item Road Segment Risk Assessment: Harford County, Maryland(Partnership for Action Learning in Sustainability (PALS), 2018) Borumand, Narges; McNally, Devin; Perry, Elena; Peng, Binbin; Zhou, FrankThe Department of Public Works in Harford County has requested road segments at risk of erosion be identified for preventive maintenance application. The final deliverable for this project will be a map, data, and report categorizing the risk levels along with a list of the most at- risk road segments. A Hot Spot Analysis identifying areas with the greatest concentration of at-risk road segments will also be included. The project had several phases. First, county road sections that were not bridges and that were close to streams (<25 feet) were selected and isolated. Second, the team calculated and characterized the soil type, drainage area, and distance from the stream as erosion risk indicators. Third, the team created an index that weights soil type, drainage area, and distance to identify the highest risk road segments. The team then separated the identified road segments into high, medium, and low risk categories and produced a list of the 347 road segments most at-risk. After a hot-spot analysis to find areas of the county that contain clusters of high-risk road segments, the team finished by reporting to the county the roads in need of checks or repair.