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智能手机应用程序对旅行行为数据收集、分析和建模的影响.pdf

上传人: c** 编号:464855 2025-01-12 30页 2.12MB

1、1/30Implications of Smartphone App Use for Household Travel Survey Data CollectionSonya Solinsky Texas Department of TransportationEdgar Millard Texas A&M Transportation Institute2/30Overview of TxDOT Travel Survey ProgramResearch began in 1960s,federally-fundedTxDOT Travel Survey Program(TSP)starte

2、d in 2000Designed to collect and analyze passenger and commercial vehicle data for regional and statewide modelsGoal to ensure data collection and analysis consistency across all 23 MPOs in stateTTIs Role:survey oversight,technical assistance,QA/QC,data analysis,integration of passive data3/30TxDOT

3、Travel Survey Program Recurring schedule of surveys Regions surveyed every 10 yrs Surveys coordinated with urban counts and model updates Designed for model input Conducted when schools in session on average weekdaysSurvey Cycle Local survey data collected for improved model accuracy1.Calibrated Mod

4、el2.Transportation Plan3.Evaluate/Prioritize Projects4.Develop Transportation Improvement Program(TIP)4/30Household Travel&Activity Survey Highlights Generally 2 or 3-way target stratification:HH size,HH income,#of Workers Typical sample sizes:1,500-3,000 HHs,data feed Trip-Based Models Houston is e

5、xception:10,000 HHs,additional geographic/demographic/travel behavior targets for Activity-Based Model)Key model inputs obtained through survey:Trip production rates by trip purpose Trip length frequency distributions Estimate of internal travel by residents Mode Split5/30Project DetailsResidents ar

6、e asked to record travel for a 24-hour periodRandomly-selected households are mailed an invitation postcardInitial address-based sample may be supplemented with convenience sampling later in project,if neededRecruitment via Web or CATIHHs are assigned travel dayTravel data collected by WebAppCATI 6/

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本文主要探讨了智能手机应用程序在家庭旅行调查数据收集中的应用,以及与传统数据收集方法的比较。文章指出,应用程序的使用有助于提高数据收集的准确性和效率,尤其是在捕捉高旅行频次者和商业车辆活动方面。研究发现,使用应用程序的受访者报告的每日人均出行次数比非应用程序用户多。应用程序用户在某些活动类型(如商业车辆驾驶和多出行者家庭)中的代表性也更高。尽管如此,应用程序数据仍可能存在低估现象,特别是在非应用程序用户中。文章强调了在数据收集和分析中保持一致性,并提出了未来研究方向,如测试“仅应用程序”方法,整合交通信号数据库,以及探索使用谷歌地图时间线等替代方案。总体而言,应用程序为公共出行和多模式数据收集提供了一个有前景的方向,但仍需谨慎处理隐私问题和数据准确性的挑战。
"智能手机应用如何影响家庭出行调查数据收集?" "使用智能手机应用进行出行调查的优势和挑战是什么?" "如何通过智能手机应用提高出行调查数据的准确性?"
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