Impacts of Flexible Working Arrangement on Departure Patterns
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    Abstract:

    In this paper, we establish an activitybased behavioral model for a specific flexible working arrangement (FWA) which is composed of core and flexible working times. The proposed behavioral model is distinguished from the traditional model with flexible parameters. Both analytical and simulationbased approaches are employed to analyze the impacts of FWA with different percentages of flexicommuters on the departure patterns and delays. The results show that FWA has positive effects on relieving congestion. The average travel time decreases with the increasing percentages of flexicommuters, especially for fixedtime commuters. However, the effects diminish gradually.

    Reference
    [1]. Kuzmyak JR, Schreffler EN. Evaluation of Travel Demand Management (TDM). Measures to relieve congestion[J]. Evaluation. 1990.
    [2]. 张瑞玲. 弹性工作制及其在中国的应用现状[J]. 东方企业文化. 2013(4):59-60.
    [3]. 陈梓烽, 柴彦威. 通勤时空弹性对居民通勤出发时间决策的影响——以北京上地—清河地区为例[J]. 城市发展研究. 2014(12):65-76.
    [4]. Yoshimura M, Okumura M, editors. Optimal commuting and work start time distribution under flexible work hours system on motor commuting. Proceedings of the Eastern Asia Society for Transportation Studies; 2001.
    [5]. Ettema D, Timmermans H. Modeling departure time choice in the context of activity scheduling behavior[J]. Transportation Research Record Journal of the Transportation Research Board. 2003,1831(1):39-46.
    [6]. Ettema D, Bastin F, Polak J, Ashiru O. Modelling the joint choice of activity timing and duration[J]. Transportation Research Part A-Policy and Practice. 2007,41(9):827-41.
    [7]. Jenelius E, Mattsson LG, Levinson D. Traveler delay costs and value of time with trip chains, flexible activity scheduling and information[J]. Transp Res Pt B-Methodol. 2011,45(5):789-807.
    [8]. Li ZC, Lam WHK, Wong SC. Bottleneck model revisited: An activity-based perspective[J]. Transportation Research Part B Methodological. 2014,68:262-87.
    [9]. Jenelius E. The value of travel time variability with trip chains, flexible scheduling and correlated travel times[J]. Transp Res Pt B-Methodol. 2012,46(6):762-80.
    [10]. Tacken M, De Boer E. FLEXITIME AND THE SPREAD OF TRAFFIC PEAK HOUR, AN ANALYSIS OF CONDITIONS AND BEHAVIOUR[J]. OSPA-RAPPORT. 1990(27).
    [11]. He SY. Does flexitime affect choice of departure time for morning home-based commuting trips? Evidence from two regions in California[J]. Transport Policy. 2013,25:210-21.
    [12]. 刘春波. M公司弹性工作制方案设计研究 [硕士]. 大连: 大连理工大学; 2014.
    [13]. Kawakami S, Isobe T. Development of a one-day travel-activity scheduling model for workers[J]. Developments in dynamic and activity-based approaches to travel analysis. 1990:184-205.
    [14]. Vickrey WS. Congestion theory and transport investment[J]. The American Economic Review. 1969,59(2):251-60.
    [15]. Li H, Tu H, Zhang X. Travel time variations over time and routes: endogenous congestion with degradable capacities[J]. Transportmetrica B. 2016:1-22.
    [16]. Han K, Friesz TL, Yao T. Existence of simultaneous route and departure choice dynamic user equilibrium[J]. Transportation Research Part B: Methodological. 2013,53:17-30.
    [17]. Heydecker BG, Addison J. Analysis of dynamic traffic equilibrium with departure time choice[J]. Transportation Science. 2005,39(1):39-57.
    [18]. Tseng Y-Y, Verhoef ET. Value of time by time of day: A stated-pReference study[J]. Transportation Research Part B: Methodological. 2008,42(7):607-18.
    [19]. Li Z-C, Lam WH, Wong S. Bottleneck model revisited: An activity-based perspective[J]. Transportation research part B: methodological. 2014,68:262-87.
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LI Hao, NING Xuqi, LIU Xing. Impacts of Flexible Working Arrangement on Departure Patterns[J].同济大学学报(自然科学版),2017,45(12):1791~1801

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History
  • Received:March 08,2017
  • Revised:October 23,2017
  • Adopted:September 06,2017
  • Online: December 29,2017
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