TY  - GEN
N2  - This 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.
DO  - 10.1007/978-981-16-8008-3
DO  - doi
AB  - This 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.
T1  - Travel behavior characteristics analysis technology based on mobile phone location data:methodology and empirical research /
DA  - 2022.
CY  - Singapore :
AU  - Yang, Fei,
AU  - Yao, Zhenxing,
CN  - HE336.C5
PB  - Springer,
PP  - Singapore :
LA  - eng
PY  - 2022.
ID  - 1445311
KW  - Choice of transportation
KW  - Transportation
KW  - Transport
KW  - Transport
SN  - 9789811680083
SN  - 9811680086
TI  - Travel behavior characteristics analysis technology based on mobile phone location data:methodology and empirical research /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-8008-3
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-8008-3
ER  -