کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6936222 | 1449663 | 2017 | 22 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Observing individual dynamic choices of activity chains from location-based crowdsourced data
ترجمه فارسی عنوان
مشاهده انتخاب های پویای فردی زنجیره های فعالیت از داده های ذخیره شده مبتنی بر مکان
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کلمات کلیدی
تحرک و فعالیت انسانی، داده های ذخیره شده مبتنی بر مکان، تجزیه و تحلیل محتوا، جغرافیا زمان، شبکه فضایی-زمان-حالت سفر- فعالیت، مجموعه زنجیره فعالیت فردی خاص،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نرم افزارهای علوم کامپیوتر
چکیده انگلیسی
The existing efforts on studying human mobility and activity using location-based crowdsourced data mainly focus on obtaining the activity chain pattern in a region at an aggregate level. To observe individual dynamic choices of activity chains, this paper presents a data-driven approach to estimating individual-specific activity chain set and corresponding choice probabilities for a given person over a 24-h period using crowdsourced data from location-based service apps. We detect an individual-specific stochastic activity set using a contextual-parcel data analysis. Based on the time geography theory, we refine a space-time bicone concept to construct an activity-travel space-time-state network from the stochastic activity set. These space-time bicone constraints define a set of potential activity choices to reduce the search space of activity location and duration choices. We construct an activity state transition graph from the space-time-state network and calculate a Markov matrix for activity choice probabilities. Furthermore, we calculate the probabilities of activity chain choices using the Markov matrix. We also visualize individual-specific activity chain set in a space-time-state network to show the dynamic choices of individual daily mobility and activity. We demonstrate the proposed approach through conducting numerical analyses using crowdsourced data from location-based service apps - Foursquare and Twitter to construct individual-specific activity choice sets and corresponding choice probabilities.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Transportation Research Part C: Emerging Technologies - Volume 85, December 2017, Pages 1-22
Journal: Transportation Research Part C: Emerging Technologies - Volume 85, December 2017, Pages 1-22
نویسندگان
Shuaidong Zhao, Kuilin Zhang,