Entity

Time filter

Source Type

Lutz, FL, United States

Bartlett J.,Sprinkle Consulting Inc. | Graves B.,SAIC | Petritsch T.,Sprinkle Consulting Inc. | Redmon T.,FHWAs Office of Safety
Public Roads | Year: 2012

The Federal Highway Administration (FHWA) and many State departments of transportation (DOT) are relying on the demonstrated effectiveness of medians and walkways to help protect those on foot. Research shows that medians and walkways can reduce pedestrian fatalities and injuries significantly. In addition, medians and walkways commonly are included in complete street designs, which aim to provide safe right-of-way access for all road users. From a driver's perspective, medians make pedestrians waiting in the center of the roadway more visible. Medians also provide space for roadway lighting, which research has shown helps to reduce nighttime pedestrian fatalities at crossings by 78 percent. FHWA recommends accessible sidewalks or pathways along both sides of streets and highways in urban areas, particularly near school zones and transit locations, and any other locations with frequent pedestrian activity. Source


Petritsch T.A.,Sprinkle Consulting Inc. | Landis B.W.,Sprinkle Consulting Inc. | Scorsone T.,Cambridge Systematics Inc.
Transportation Research Record | Year: 2014

The Highway Capacity Manual 2010 (HCM) includes methodologies for calculating the segment- and facility-level bicycle level of service (LOS) as part of a multimodal LOS analysis. Practitioners have found that, in many cases, the HCM methodology does not provide intuitive results. The HCM methodology produces scores that represent a roadway as worse than it actually is, docs not provide enough sensitivity to hike facility improvements, and docs not provide an adequate range of results. It is difficult to achieve an A or B LOS score with the HCM methodology. The addition of bike lanes docs not have a significant impact on the LOS. It is also difficult to achieve an LOS worse than E, regardless of how poor bicycling conditioas arc. This paper describes an effort by the Florida Department of Transportation to create an alternative model that more accurately represents how well roadways meet the needs of bicyclists. The model is based on the time exposed and relative LOS value for each individual LOS component (intersection, link). The model was developed with the input of a panel of practitioners from around the country. The resulting model represents an LOS methodology that provides more intuitive values (than the HCM methodology) for those evaluating roadway networks. This paper provides recommended changes to the bicycle LOS methodology in the HCM chapters on urban streets. Source


Petritsch T.A.,Sprinkle Consulting Inc. | Ozkul S.,Sprinkle Consulting Inc. | McLeod P.,Sprinkle Consulting Inc. | Landis B.,Sprinkle Consulting Inc. | McLeod D.,Systems Planning Office
Transportation Research Record | Year: 2010

This paper documents a study sponsored by the Florida Department of Transportation and conducted to create a model that reflects bicyclists' perceptions of how a shared-use path adjacent to a roadway meets their needs. A user-validated level-of-service (LOS) model for shared-use paths adjacent to roadways (sidepaths) has been created. The resulting model will enable transportation professionals to translate the geometric, physical, and operational characteristics of a sidepath into a reliable LOS measure for the proposed facility. Data for the new sidepath LOS model were obtained from the Video Ride for Science (VRFS) 2009 event, held at the Museum of Science and Industry in Tampa, Florida. The data consist of participants' perceptions of how well roadways met their needs as they viewed video simulations from a bicyclist's eye view on the selected segments. The sidepath LOS model is based on Pearson correlation analyses and stepwise regression modeling of approximately 1,700 combined real-time video perceptions (observations) from VRFS 2009 participants. The study participants represented a cross section of individuals by age, gender, riding experience, and residency. This model has a fairly high correlation coefficient (R2 = .68) with the average observations and is transferable to the vast majority of metropolitan areas in the United States. Source

Discover hidden collaborations