Selection of Commute Trip Timing and Mode

Abstract

Abstract:

The selection of trip timing and mode are two critical decisions of each commuters’ daily travelling behavior. Since there are significant differences in observed home-work departure time distributions by different mode of commute, this paper provides an integrated treatment of commute mode and time of day explicitly considering the influence of mode selection on departure time selection. In this paper the joint model of mode selection and homework trip timing is estimated using a discrete-continuous econometric model, which allows for unrestricted correlation between the unobserved factors influencing the two decisions. Strong correlations between unobserved factors influencing mode selection and trip timing are found. Furthermore the estimated model proves that age, gender, household member structure, activity and travel characteristics of the commuter are all important influencing factors for the two decisions. These findings have important implications for commuter travel behavior analysis and transportation managemnet.

Key words: commute trip, departure time, mode choice, discretecontinuous econometrics model

CLC Number:

U 491

XIANYU Jianchuan1,2a,JUAN Zhicai1，ZHU Taiying2b. Selection of Commute Trip Timing and Mode[J]. Journal of Shanghai Jiaotong University, 2013, 47(10): 1601-1605.

References

［1］Zaman H, Habib K M N. Commuting mode choice in the context of travel demand management (TDM) policies: An empirical investigation in Edmonton, Alberta ［J］. Canadian Journal of Civil Engineering, 2011, 38(4): 433443.

［2］Pinjari A R, Bhat C R. A multiple discretecontinuous nested extreme value (MDCNEV) model: Formulation and application to nonworker activity timeuse and timing behavior on weekdays ［J］. Transportation Research Part B, 2010, 44(4): 562583.

［3］Susilo Y O, Kitamura R. Structural changes in comuters’ daily travel: The case of auto and transit commuters in the Osaka metropolitan area of Japan, 19802000 ［J］. Transportation Research Part A, 2007, 42(1): 95115.

［4］Small K A. The scheduling of consumer activities: Work trips ［J］. American Economic Review, 1982, 72(3): 467479.

［5］Ettema D, Bastin F, Polak J, et al. Modeling the joint choice of activity timing and duration ［J］. Transportation

Research Part A, 2007, 41(9): 827841.

［6］Castro M, Eluru N, Bhat C R. Joint model of participation in nonwork activities and timeofday choice set formation for workers ［J］. Transportation Research Record, 2011, 2254: 140150.

［7］Lemp J D, Kockelman K M, Damien P. Bivariate multinomial Probit model for trip scheduling: Bayesian analysis of work tour ［J］. Transportation Science, 2012, 46(3): 405424.

［8］Ferdous N, Pendyala R M, Bhat C R, et al. Modeling the influence of family, social context, and spatial proximity on use of nonmotorized transport mode ［J］. Transportation Research Record, 2011, 2230: 111120.

［9］Pinjari A R, Pendyala R M, Bhat C R, et al. Modeling residential sorting effects to understand the impact of the built environment on commute mode choice ［J］. Transportation, 2007, 34(5): 557573.

［10］Portoghese A E, Spissu A E, Bhat C R, et al. A copulabased joint model of commute mode choice and number of nonwork stops during the commute ［J］. International Journal of Transport Economics, 2011, 38(3): 337362.

［11］Lee L F. Generalized econometric models with selectivity ［J］. Econometrica, 1983, 51(2): 507512.

［12］Feller W. An introduction to probability theory and its applications ［M］. New York: Wiley, 1971.

［13］Aptech Systems, Inc. GAUSS user guide ［M］. 10th ed. Washington: Aptech Systems, Inc, 2010.

[1]	YANG Zhen,FU Zhuang,GUAN Enguang,XU Jiannan,TIAN Shihe,ZHENG Hui. The Kinematic Analysis and Structure Optimization of MLattice Modular Robot [J]. Journal of Shanghai Jiaotong University, 2017, 51(10): 1153-1159.
[2]	ZHAO Jun1,YU Haidong2. Dynamic Analysis of TwoLink Flexible Manipulators Based on the Absolute Nodal Coordinate Formulation [J]. Journal of Shanghai Jiaotong University, 2017, 51(10): 1160-1165.
[3]	ZHAO Ziren1,DU Shichang1,HUANG Delin1,REN Fei2,LIANG Xinguang2. Modelling and Bottleneck Analysis of Product Quality in Transient Phase of MultiStage Manufacturing Systems Based on Markovian Chains [J]. Journal of Shanghai Jiaotong University, 2017, 51(10): 1166-1173.
[4]	HUANG Xuangui. Algorithm for Relatively Small Planted Clique with Small Edge Probability [J]. Journal of Shanghai Jiaotong University, 2017, 51(10): 1202-1206.
[5]	LUO Jingjinga,YU Haidonga,ZHAO Chunzhanga,b,WANG Haoa,b. Study on Motion Stability of Variable CrossSection Flexible Beams Based on the Absolute Nodal Coordinate Formulation [J]. Journal of Shanghai Jiaotong University, 2017, 51(10): 1174-1180.
[6]	WANG Yibo1,HUANG Yixiang1,LI Bingchu1,LING Xiao1 ZHAO Shuai1,LIU Chengliang1,ZHANG Daqing2. An Improved Modal Simulation Method for Switched Reluctance Motor Based on Static PreComputation [J]. Journal of Shanghai Jiaotong University, 2017, 51(10): 1181-1188.
[7]	ZHOU Binghai,LI Ming. Scheduling Method of Manufacturing Cells with Robot Restricted Processing [J]. Journal of Shanghai Jiaotong University, 2017, 51(10): 1214-1219.
[8]	CHEN Jinping1,ZHANG Shusheng1,HE Weiping1,WANG Mingwei1,HUANG Hui2. Feasible Change Path Search and Optimization Method Based on Driving Parameter Modeling [J]. Journal of Shanghai Jiaotong University, 2017, 51(10): 1220-1227.
[9]	ZHOU Penghui,MA Hongzhan,CHEN Dongping,CHEN Mengyue,CHU Xuening. Identification of Product Redesign Modules Based on Fuzzy Random Failure Mode and Effects Analysis [J]. Journal of Shanghai Jiaotong University, 2017, 51(10): 1189-1195.
[10]	PENG Cheng,ZHU Jianyun,CHEN Li. Mode Transition for a Hybrid Electric Vehicle Based on Model Reference Control [J]. Journal of Shanghai Jiaotong University, 2017, 51(10): 1196-1201.
[11]	LIU Wei,YANG Chao . A Study on Injection Mould Part Quotation Model Based on Back Propagation Neural Network [J]. Journal of Shanghai Jiaotong University, 2017, 51(10): 1207-1213.
[12]	CHEN Suting，WANG Zhuo，WANG Qi. Aerial Scene Classification Based on Nonlinear Scale Space [J]. Journal of Shanghai Jiaotong University, 2017, 51(10): 1228-1234.
[13]	CHEN Ning,HE Xiaobin,GUI Weihua,YANG Chunhua. Research on Image Encryption System Based on Chaotic Discrete Sequence [J]. Journal of Shanghai Jiaotong University, 2017, 51(10): 1273-1280.
[14]	LIU Kaia，ZHANG Liminb，ZHOU Lijuna. Design of Random Restricted Boltzmann Machine Group [J]. Journal of Shanghai Jiaotong University, 2017, 51(10): 1235-1240.
[15]	ZHU Xinyao1，SONG Baowei2,XU Gang1,YANG Songlin1. Research on Landing Strategy and Influencing Factors of an Autonomous Underwater Vehicle with Supporting Mechanism [J]. Journal of Shanghai Jiaotong University, 2017, 51(10): 1241-1251.