دانلود مقاله ISI انگلیسی شماره 105665
ترجمه فارسی عنوان مقاله

قدم زدن و شغل: یک تحلیل مقایسه ای برای بررسی عوامل موثر بر کارکنان انعطاف پذیر و ثابت، مطالعه موردی رشت، ایران

عنوان انگلیسی
Walking and jobs: A comparative analysis to explore factors influencing flexible and fixed schedule workers, a case study of Rasht, Iran
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
105665 2017 21 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Sustainable Cities and Society, Volume 31, May 2017, Pages 74-82

ترجمه کلمات کلیدی
حمل و نقل فعال، پیاده روی، گروه کاری، الگوی برنامه مدل انتخابی،
کلمات کلیدی انگلیسی
Active Transportation; Walking; Job Group; Schedule Pattern; Choice Model;
پیش نمایش مقاله
پیش نمایش مقاله  قدم زدن و شغل: یک تحلیل مقایسه ای برای بررسی عوامل موثر بر کارکنان انعطاف پذیر و ثابت، مطالعه موردی رشت، ایران

چکیده انگلیسی

Although walking behavior has been the subject of debate in developed countries, much remains to be learned about this subject in developing countries. Furthermore, it seems likely that the effect of different factors on choosing walking as a commute mode varies across different job groups. Therefore, this research investigated and compared walking behaviors across two job groups with different schedule patterns in the city of Rasht, Iran. The first group is related to those who are flexible schedule (i.e., FLS) workers and the second group refers to people who identify as fixed schedule (FXS) workers. FXS workers attend/leave their workplace during specific period of time which is usually invariant and makes them more time constraint than the second group. Separate behavioral choice models are developed for trips to work using a range of explanatory variables including individual; household; travel; and environmental variables. Results show that females are more likely to walk than males in both groups. Another significant factor is the travel distance which was found with different effects across the studied job groups. Furthermore, it was found that land use features are directly related to walking choice probability of FLS workers.