AN ANALYSIS OF WEEKLY OUT-OF-HOME DISCRETIONARY ACTIVITY PARTICIPATION AND TIME-USE BEHAVIOR
➤ Gửi thông báo lỗi ⚠️ Báo cáo tài liệu vi phạmNội dung chi tiết: AN ANALYSIS OF WEEKLY OUT-OF-HOME DISCRETIONARY ACTIVITY PARTICIPATION AND TIME-USE BEHAVIOR
AN ANALYSIS OF WEEKLY OUT-OF-HOME DISCRETIONARY ACTIVITY PARTICIPATION AND TIME-USE BEHAVIOR
AN ANALYSIS OF WEEKLY OUT-OF-HOME DISCRETIONARY ACTIVITY PARTICIPATION AND TIME-USE BEHAVIORErika SpissuThe University of Texas at AustinDepartment of AN ANALYSIS OF WEEKLY OUT-OF-HOME DISCRETIONARY ACTIVITY PARTICIPATION AND TIME-USE BEHAVIORf Civil, Architectural & Environmental Engineering 1 University Station, C1761, Austin, TX 78712Tel: (512) 232-6599; Fax: (512) 475-8744; Email: espissu@unica.itAbdul Rawoof PinjariUniversity of South FloridaDepartment of Civil & Environmental Engineering4202 E. Fowler Avenue. ENC 2503Tampa, FL 3362 AN ANALYSIS OF WEEKLY OUT-OF-HOME DISCRETIONARY ACTIVITY PARTICIPATION AND TIME-USE BEHAVIOR0Tel: (813) 974-9671; Fax: (813) 974-2957; Email: apinjari@eng.usf.eduChandra R. Bhat*The University of Texas at AustinDepartment of Civil, ArchitectuAN ANALYSIS OF WEEKLY OUT-OF-HOME DISCRETIONARY ACTIVITY PARTICIPATION AND TIME-USE BEHAVIOR
ral & Environmental Engineering 1 University Station, C1761, Austin, TX 78712Tel: (512) 471-4535; Fax: (512) 475-8744; Email: bhat@mail.utexas.eduRam AN ANALYSIS OF WEEKLY OUT-OF-HOME DISCRETIONARY ACTIVITY PARTICIPATION AND TIME-USE BEHAVIORErika SpissuThe University of Texas at AustinDepartment of AN ANALYSIS OF WEEKLY OUT-OF-HOME DISCRETIONARY ACTIVITY PARTICIPATION AND TIME-USE BEHAVIOR65-0557; Email: ram.pendyala@asu.eduKay w. AxhausenETH ZurichIVT ETH - Honggerberg, HIL F 32.3Wolfgang Pauli Strasse 15, 8093. Zurich. SwitzerlandTel: 41 (1) 633 39 43; Fax: +41 (1) 633 10 57; Email: axhausen@ivt.baug.ethz.ch•"corresponding authorABSTRACTActivity-travel behavior research has hithert AN ANALYSIS OF WEEKLY OUT-OF-HOME DISCRETIONARY ACTIVITY PARTICIPATION AND TIME-USE BEHAVIORo focused on the modeling and understanding of daily time use and activity patterns and resulting travel demand. In this particular paper, an analysisAN ANALYSIS OF WEEKLY OUT-OF-HOME DISCRETIONARY ACTIVITY PARTICIPATION AND TIME-USE BEHAVIOR
and modeling of weekly activity-travel behavior is presented using a unique muhi-week activity-travel behavior data set collected in and around ZuricAN ANALYSIS OF WEEKLY OUT-OF-HOME DISCRETIONARY ACTIVITY PARTICIPATION AND TIME-USE BEHAVIORErika SpissuThe University of Texas at AustinDepartment of AN ANALYSIS OF WEEKLY OUT-OF-HOME DISCRETIONARY ACTIVITY PARTICIPATION AND TIME-USE BEHAVIORand intra-personal variability in, weekly activity engagement at a detailed level. A panel version of the Mixed Multiple Discrete Continuous Extreme Value model (MMDCEV) that explicitly accounts for the panel (or repeated-observations) nature of the multi-week activitytravel behavior data set is dev AN ANALYSIS OF WEEKLY OUT-OF-HOME DISCRETIONARY ACTIVITY PARTICIPATION AND TIME-USE BEHAVIOReloped and estimated on the data set. The model also controls for individual-level unobserved factors that lead to correlations in activity engagementAN ANALYSIS OF WEEKLY OUT-OF-HOME DISCRETIONARY ACTIVITY PARTICIPATION AND TIME-USE BEHAVIOR
preferences across different activity types. To our knowledge, this is the first formulation and application of a panel MMDCEV structure in the econoAN ANALYSIS OF WEEKLY OUT-OF-HOME DISCRETIONARY ACTIVITY PARTICIPATION AND TIME-USE BEHAVIORErika SpissuThe University of Texas at AustinDepartment of AN ANALYSIS OF WEEKLY OUT-OF-HOME DISCRETIONARY ACTIVITY PARTICIPATION AND TIME-USE BEHAVIORod along with inter-personal variability that is typically considered in activity-travel modeling. In addition, the panel MMDCEV mode) helped identify the observed socio-economic factors and unobserved individual specific factors that contribute to variability in multi-week discretionary activity pa AN ANALYSIS OF WEEKLY OUT-OF-HOME DISCRETIONARY ACTIVITY PARTICIPATION AND TIME-USE BEHAVIORrticipation.Keywords: activity-travel behavior, multiweek analysis, inter-personal variability, intra-personal variability, discrete-continuous model,AN ANALYSIS OF WEEKLY OUT-OF-HOME DISCRETIONARY ACTIVITY PARTICIPATION AND TIME-USE BEHAVIOR
panel data, unobserved factors1. INTRODUCTION1.1 BackgroundThe locus ol activity-travel behavior analysis has traditionally been on the understandingAN ANALYSIS OF WEEKLY OUT-OF-HOME DISCRETIONARY ACTIVITY PARTICIPATION AND TIME-USE BEHAVIORErika SpissuThe University of Texas at AustinDepartment of AN ANALYSIS OF WEEKLY OUT-OF-HOME DISCRETIONARY ACTIVITY PARTICIPATION AND TIME-USE BEHAVIORfforts arc generally aimed at modeling and quantifying travel demand on a daily basis (or peak hour.-period basis) and therefore most navel surveys collect information about activities and navel for just one day from survey respondents. Second, there is concern about respondent fatigue that may resu AN ANALYSIS OF WEEKLY OUT-OF-HOME DISCRETIONARY ACTIVITY PARTICIPATION AND TIME-USE BEHAVIORlt from collecting detailed activity-travel information over multiple days. Third, from a methcxlological standpoint, the availability of analytic tooAN ANALYSIS OF WEEKLY OUT-OF-HOME DISCRETIONARY ACTIVITY PARTICIPATION AND TIME-USE BEHAVIOR
ls required to estimate econometric models of multi-period activity time-use behavior has been limited.The use of one-day data, however, limits the abAN ANALYSIS OF WEEKLY OUT-OF-HOME DISCRETIONARY ACTIVITY PARTICIPATION AND TIME-USE BEHAVIORErika SpissuThe University of Texas at AustinDepartment of AN ANALYSIS OF WEEKLY OUT-OF-HOME DISCRETIONARY ACTIVITY PARTICIPATION AND TIME-USE BEHAVIOR implicitly assume uniformity in activity decisions from one day to the next. While this assumption is questionable even for work participations of an employed individual (because of. for example, increased temporal flexibility and more part-time workers), it is certainly not reasonable for discreti AN ANALYSIS OF WEEKLY OUT-OF-HOME DISCRETIONARY ACTIVITY PARTICIPATION AND TIME-USE BEHAVIORonary activities such as leisure, sports, and even shopping or personal business. For such activities, it is possible that individuals consider longerAN ANALYSIS OF WEEKLY OUT-OF-HOME DISCRETIONARY ACTIVITY PARTICIPATION AND TIME-USE BEHAVIOR
lime frames such as a week as the temporal unit for deciding the extent and frequency of participation (e.g.. 1 will shop once this week during the wAN ANALYSIS OF WEEKLY OUT-OF-HOME DISCRETIONARY ACTIVITY PARTICIPATION AND TIME-USE BEHAVIORErika SpissuThe University of Texas at AustinDepartment of AN ANALYSIS OF WEEKLY OUT-OF-HOME DISCRETIONARY ACTIVITY PARTICIPATION AND TIME-USE BEHAVIORonc-day data sets (or even multi-day data sets) may not capture the range of choices that people arc exercising with respect to their activity engagement. In fact, several earlier studies (Hanson and Hanson, 1980; Hanson and Huff, 1988; Kilamura, 1988; Mulhyalagari el al., 2001; Pas, 1987; Pas and S AN ANALYSIS OF WEEKLY OUT-OF-HOME DISCRETIONARY ACTIVITY PARTICIPATION AND TIME-USE BEHAVIORundar, 1995; Pendyala and Pas, 1997) have shown substantial day-to-day variations in discretionary activity participations, and some earlier studies (AN ANALYSIS OF WEEKLY OUT-OF-HOME DISCRETIONARY ACTIVITY PARTICIPATION AND TIME-USE BEHAVIOR
see, for example, Bhat el al., 2004, Bhat el al., 2005, and Habib el al., 2008) have provided empirical evidence that discretionary activity participaAN ANALYSIS OF WEEKLY OUT-OF-HOME DISCRETIONARY ACTIVITY PARTICIPATION AND TIME-USE BEHAVIORErika SpissuThe University of Texas at AustinDepartment of AN ANALYSIS OF WEEKLY OUT-OF-HOME DISCRETIONARY ACTIVITY PARTICIPATION AND TIME-USE BEHAVIORlocation on a weekly basis may provide a better foundation for understanding trade-offs in activity-travel engagement and scheduling of activities, which in turn should provide an improved framework for modeling daily1activity-travel patterns. On the other hand, modeling daily activity-travel patter AN ANALYSIS OF WEEKLY OUT-OF-HOME DISCRETIONARY ACTIVITY PARTICIPATION AND TIME-USE BEHAVIORns using a single survey day (as is done in practice today) has some very real limitations from a behavioral and policy standpoint. From a behavioralAN ANALYSIS OF WEEKLY OUT-OF-HOME DISCRETIONARY ACTIVITY PARTICIPATION AND TIME-USE BEHAVIOR
standpoint, single day analyses do not recognize that individuals who have quite dissimilar patterns on the survey day may in fact be similar in theirAN ANALYSIS OF WEEKLY OUT-OF-HOME DISCRETIONARY ACTIVITY PARTICIPATION AND TIME-USE BEHAVIORErika SpissuThe University of Texas at AustinDepartment of AN ANALYSIS OF WEEKLY OUT-OF-HOME DISCRETIONARY ACTIVITY PARTICIPATION AND TIME-USE BEHAVIORthat their cyclic patterns are staggered. Similarly, single day analyses do not recognize that individuals who appear similar in their patterns on the survey day may have ver}' different patterns over longer periods of time. The net result is that models based on a single day of survey may reflect a AN ANALYSIS OF WEEKLY OUT-OF-HOME DISCRETIONARY ACTIVITY PARTICIPATION AND TIME-USE BEHAVIORrbitrary statistical correlations, rather than capturing underlying behavioral relationships between activity-travel patterns and individual/built envAN ANALYSIS OF WEEKLY OUT-OF-HOME DISCRETIONARY ACTIVITY PARTICIPATION AND TIME-USE BEHAVIOR
ironment characteristics. From a policy standpoint, because models based on a single day- do not provide information about the distribution of particiAN ANALYSIS OF WEEKLY OUT-OF-HOME DISCRETIONARY ACTIVITY PARTICIPATION AND TIME-USE BEHAVIORErika SpissuThe University of Texas at AustinDepartment of AN ANALYSIS OF WEEKLY OUT-OF-HOME DISCRETIONARY ACTIVITY PARTICIPATION AND TIME-USE BEHAVIORsuitable for the analysis of transportation policy actions, as discussed by Jones and Clark (1988) and Hirsh ci al. (1986). For example, when examining the impact of congestion pricing policies on trips for discretionary activities, it is important to know whether an individual participates in such AN ANALYSIS OF WEEKLY OUT-OF-HOME DISCRETIONARY ACTIVITY PARTICIPATION AND TIME-USE BEHAVIORactivities everyday or whether the individual has a weekly shopping rhythm. Besides, many policies are likely to result in re-scheduling of activitiesAN ANALYSIS OF WEEKLY OUT-OF-HOME DISCRETIONARY ACTIVITY PARTICIPATION AND TIME-USE BEHAVIOR
.irips over multiple days. For instance, a compressed work week policy may result in some activities being put off from the weekdays to the weekend daAN ANALYSIS OF WEEKLY OUT-OF-HOME DISCRETIONARY ACTIVITY PARTICIPATION AND TIME-USE BEHAVIORErika SpissuThe University of Texas at AustinDepartment ofAN ANALYSIS OF WEEKLY OUT-OF-HOME DISCRETIONARY ACTIVITY PARTICIPATION AND TIME-USE BEHAVIORErika SpissuThe University of Texas at AustinDepartment ofGọi ngay
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