کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
524887 868868 2015 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Exploring bikesharing travel time and trip chain by gender and day of the week
ترجمه فارسی عنوان
بررسی زمان سفر و سفر دوچرخه سواری با جنسیت و روز هفته
کلمات کلیدی
تجزیه و تحلیل داده های بزرگ، دوچرخه سواری، زمان سفر، زنجیره سفر، رفتار دوچرخه سواری جنسیتی، تجزیه و تحلیل ویژوال
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
چکیده انگلیسی


• We explored a large-scale bikesharing customers and journeys database.
• We defined bikesharing trip chains (BTCs) and realized the visual analytics.
• Women and men differ obviously in O-D BTCs travel time, but not in O-O BTCs’.
• Bikesharing users tend to cycle slowly on weekends.
• We observed obviously unbalanced O-D BTCs to and from rail stations in Nanjing.

As a pinnacle of green transportation with transit attributes, bikesharing has become particularly popular since the mid-2000s. Taking the opportunity of accessing to a large-scale and smart-card-based dataset from Nanjing, China, this paper explores bikesharing travel time and trip chain patterns by gender and day of the week. Bikesharing trip chain is defined and classified into four types according to the complexity of chain. Z-score analysis and visual analytic techniques, as well as chi-statistic, are adopted to explore the variation of bikesharing travel time and trip chain. The results suggest that the residential areas are the primary fountainhead where bikesharing demands generate, whilst the rail stations are the most attractive hubs that the bikesharing trips terminate at. The travel time between the same bikesharing station can be two times longer than it is from one station to another. Bikesharing travel time also differs significantly in terms of gender and day of the week. With respect to bikesharing trip chain patterns, significant variation is observed between men and women, as well as between weekdays and weekends. Findings indicate that women are more likely to make multiple-circle bikesharing trip chains than men, especially on weekdays. Moreover, the visual analytic gives bikesharing operators direct sense of the variation of bikesharing trip chain patterns with respect to gender and day of the week. Last but not least, this paper finds that there is big gap between bikesharing demand and supply in the adjacent area of rail stations in Nanjing, in particular, during afternoon peak hours.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Transportation Research Part C: Emerging Technologies - Volume 58, Part B, September 2015, Pages 251–264
نویسندگان
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