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Exploring strengths and weaknesses of mobility inference from mobile phone data vs. travel surveys
Transportmetrica A: Transport Science ( IF 3.3 ) Pub Date : 2020-01-01 , DOI: 10.1080/23249935.2020.1720857
Noelia Caceres 1 , L. M. Romero 2 , Francisco G. Benitez 2
Affiliation  

Origin–destination (OD) matrices serve as a basis for travel demand modelling. Traditionally, they are derived from travel surveys that collect detailed trip information but with several shortcomings. Mobile phones are regarded as a useful source of information on people’s daily mobility. This work explores the use of mobile data in the context of mobility studies by comparing matrices derived from both types of sources over the same region. The results reveal many common features in the trip information. Moreover, although the use of mobile technology may raise questions for short trips, the huge representativeness of this technology captures the mobility in OD connections extensively regardless the area. This is crucial for non-populated areas (e.g. industrial parks or educational campuses), which constitute important mobility hotspots. Based on these findings, an applicable data fusion approach to obtain the optimum accuracy from these heterogeneous sources is presented and applied.

中文翻译:

从手机数据与旅行调查中探索移动性推断的优缺点

出发地-目的地 (OD) 矩阵用作旅行需求建模的基础。传统上,它们来自收集详细旅行信息的旅行调查,但有几个缺点。手机被视为有关人们日常活动的有用信息来源。这项工作通过比较来自同一地区的两种类型来源的矩阵,探索了移动数据在移动研究背景下的使用。结果揭示了旅行信息中的许多共同特征。此外,虽然移动技术的使用可能会引起短途旅行的问题,但该技术的巨大代表性广泛地捕捉到了 OD 连接中的移动性,无论区域如何。这对于构成重要流动热点的非人口稠密地区(例如工业园区或教育园区)至关重要。
更新日期:2020-01-01
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