کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5119306 1485867 2017 17 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Speed, travel time and delay for intersections and road segments in the Montreal network using cyclist Smartphone GPS data
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم محیط زیست علوم زیست محیطی (عمومی)
پیش نمایش صفحه اول مقاله
Speed, travel time and delay for intersections and road segments in the Montreal network using cyclist Smartphone GPS data
چکیده انگلیسی


- Uses Smartphone GPS data for cyclist trips.
- Computes and maps cyclist speeds along segments and delays through intersections.
- Generates cyclist speed models accounting for geometric design and built environment.
- Includes variables representing cyclist behaviour and preferences in speed model.
- Cyclists travel faster on arterials, on cycle tracks and for work related trips.

Very little is known about cyclist speeds and delays at the disaggregate level of each road segment and intersection in an entire city network. Speeds and delays serve as vital information for planning, navigation and routing purposes including how they differ for different times of the day and across road and bicycle facility types, after controlling for other factors. In this work, we explore the use of recent GPS cyclist trip data, from the Mon RésoVélo Smartphone application, to identify different performance measures such as travel time, speed and delay at the level of the entire network of roads and intersections on the island of Montreal. Also, a linear regression model is formulated to identify the geometric design and built environment characteristics affecting cyclist speeds on road segments. Among other results, on average, segment speeds are greater along arterials than on local streets and greater along segments with bicycle infrastructure than those without. Incorporating different measures of cyclist personality in the models revealed that the following characteristics all affect cyclist speeds along segments, each cyclist's average speed on uphill, downhill and level segments as well as geometric design and built environment characteristics. The model results also identify that the factors that increase cyclist speeds along segments include, segments which have cyclists biking for work or school related purposes, segments used during morning peak and segments which do not have signalized intersections at either end.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Transportation Research Part D: Transport and Environment - Volume 57, December 2017, Pages 155-171
نویسندگان
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