Browsing by Subject "Bus stop"

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Bus stop attributes and perception of safety : case study Huston Tillotson University
(2010-12) Gomez Sanchez, Ana Julita; McCray, Talia; Mueller, Elizabeth
This professional report examines the degree to which the perception of safety shapes travel behavior in Austin, Texas, using Huston Tillotson University (HT) students as our case study. Focus groups are used to explore and identify what elements of the public transit experience are considered safe and unsafe. The report explores what “frightens” HT participants away from using the bus. A quantitative study is then used to measure environmental variables and their relation to bus stops and perceptions of safety. Austin crime data are used to locate bus stop crimes and develop a real context for bus riders’ perceptions of crime. After describing the conditions of bus stops based on physical, environmental, and criminal attributes, the study develops scenarios for the study areas. This report closes by summarizing the empirical findings and gives design and policy recommendations for transportation planners, agencies, and policy makers.
Methodology for creating a bus stop quality index (BSQI)
(2019-06-20) Graham, Madison Danielle; Zhang, Ming, 1963 April 22-
This PR project develops an operable method for assessing bus stop quality through the case study of Austin, TX. The kind of method is much needed by transit agencies for them to improve services from both efficiency and equity standpoint. However available federal standards and professional guidelines provide inadequate details on specific ways to incorporate a variety of transit amenity attributes for bus stop quality assessment. This project creates a composite bus stop quality index (BSQI) that integrates 13 bus stop amenity factors. Weights are assigned to the factors based on extensive review of related studies and transit agencies’ service policies. Furthermore, the BSQI method distinguishes between transit authority-controlled factors (shelters, benches, et al) and citycontrolled factors (sidewalks, street lighting, et al); such a distinction helps identify responsibilities of and build partnerships between transit agencies and the community for transit service improvement. The project applied and validated the proposed method through regression and spatial overlay analysis using a rich set of data in Austin, TX. The PR project makes an important practical contribution to the transit industry and the method developed from the Austin case is readily transferable to other places.