Modeling Intertrip Time Intervals Between Individuals’ Overnight Long-Distance Trips

作者: Jeffrey J. LaMondia , Michael Moore , Lisa Aultman-Hall

DOI: 10.3141/2495-03

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摘要: Long-distance and overnight travel are growing in importance the United States, yet data methods needed to model these activity patterns lacking. One important factor for simulation is interval between trips away from home. This study used a unique 1-year panel set of estimation negative binomial regression intertrip time intervals. Most respondents indicated that they took two seven per year, but varied widely regardless total number trips. difference suggests some clustering not all people. Model results both regional household attributes affected intervals, prior next trip factors were significant. The distance home on previous income times. this demonstrate range interva...

参考文章(20)
Joyce M. Dargay, Stephen Clark, The determinants of long distance travel in Great Britain Transportation Research Part A-policy and Practice. ,vol. 46, pp. 576- 587 ,(2012) , 10.1016/J.TRA.2011.11.016
Caleb Van Nostrand, Vijayaraghavan Sivaraman, Abdul Rawoof Pinjari, Analysis of long-distance vacation travel demand in the United States: a multiple discrete–continuous choice framework Transportation. ,vol. 40, pp. 151- 171 ,(2013) , 10.1007/S11116-012-9397-6
Frank Primerano, Michael A. P. Taylor, Ladda Pitaksringkarn, Peter Tisato, Defining and understanding trip chaining behaviour Transportation. ,vol. 35, pp. 55- 72 ,(2007) , 10.1007/S11116-007-9134-8
Alan Shailes, Martyn L Senior, Barry P Andrew, TOURISTS' TRAVEL BEHAVIOUR IN RESPONSE TO CONGESTION: THE CASE OF CAR TRIPS TO CORNWALL, UNITED KINGDOM Journal of Transport Geography. ,vol. 9, pp. 49- 60 ,(2001) , 10.1016/S0966-6923(00)00033-8
Lingling Wu, Junyi Zhang, Akimasa Fujiwara, Tourism participation and expenditure behaviour: Analysis using a scobit based discrete–continuous choice model Annals of Tourism Research. ,vol. 40, pp. 1- 17 ,(2013) , 10.1016/J.ANNALS.2012.09.002
Antoine Zalatan, The determinants of planning time in vacation travel Tourism Management. ,vol. 17, pp. 123- 131 ,(1996) , 10.1016/0261-5177(95)00115-8
Ummuhan Gokovali, Ozan Bahar, Metin Kozak, Determinants of length of stay: A practical use of survival analysis Tourism Management. ,vol. 28, pp. 736- 746 ,(2007) , 10.1016/J.TOURMAN.2006.05.004
Anna B. Grigolon, Aloys W.J. Borgers, Astrid D.A.M. Kemperman, Harry J.P. Timmermans, Vacation length choice: A dynamic mixed multinomial logit model Tourism Management. ,vol. 41, pp. 158- 167 ,(2014) , 10.1016/J.TOURMAN.2013.09.002
Sarah E Volosin, Sanjay Paul, Keith P Christian, Karthik C Konduri, Ram M Pendyala, None, Exploring the Dynamics in Travel Time Frontiers Transportation Research Record. ,vol. 2382, pp. 20- 27 ,(2013) , 10.3141/2382-03
Jeffrey LaMondia, Chandra R. Bhat, David A. Hensher, An annual time use model for domestic vacation travel Journal of Choice Modelling. ,vol. 1, pp. 70- 97 ,(2008) , 10.1016/S1755-5345(13)70023-X