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008			220319s2022 si | s |||| 0|eng d
020			_a9789811680083
024	7		_a10.1007/978-981-16-8008-3 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050			_aHE336.C5 _b2022 EB
100			_aYang, Fei _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9684666
245	1	0	_aTravel Behavior Characteristics Analysis Technology Based on Mobile Phone Location Data : _bMethodology and Empirical Research _cby Fei Yang, Zhenxing Yao.
264		1	_aSingapore _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XXII, 217 páginas) _b122 ilustraciones, 107 ilustraciones a color
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
505	0		_aChapter 1. Introduction -- Chapter 2. 2 Literature Review -- Chapter 3. Methodology for Mobile Phone Location Data Mining -- Chapter 4. Mobile Phone Sensor Data Collection And Analysis -- Chapter 5. Pedestrian-Traffic Flow-Communication' Integrated Simulation Platform Construction -- Chapter 6. Empirical Study on Trip Information Extraction Based on Mobile Phone Sensor Data -- Chapter 7. Influence Parameters and Sensitivity Analysis -- Chapter 8. Thinking about Application of Refined Travel Data in Traffic Planning -- Chapter 9. Outlook -- Appendix.
520			_aThis book is devoted to the technology and methodology of individual travel behavior analysis and refined travel information extraction. Traditional resident trip surveys are characterized by many shortcomings, such as subjective memory errors, difficulty in organization and high cost. Therefore, in this book, a set of refined extraction and analysis techniques for individual travel activities is proposed. It provides a solid foundation for the optimization and reconstruction of traffic theoretical models, urban traffic planning, management and decision-making. This book helps traffic engineering researchers, traffic engineering technicians and traffic industry managers understand the difficulties and challenges faced by transportation big data. Additionally, it helps them adapt to changes in traffic demand and the technological environment to achieve theoretical innovation and technological reform.
988			_aSpringer_Psychology_2022
650		7	_2embne _9672171 _aTransportes _xPlanificación
700	1		_aYao, Zhenxing _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9684667
776	0	8	_iPrinted edition: _z9789811680076
776	0	8	_iPrinted edition: _z9789811680090
776	0	8	_iPrinted edition: _z9789811680106
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-8008-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b08/2022 _dz _ep _zSI