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YANG Li-ya, SHAO Chun-fu, HAGHANI A. Nested logit model of combined selection for travel mode and departure time[J]. Journal of Traffic and Transportation Engineering, 2012, 12(2): 76-83. doi: 10.19818/j.cnki.1671-1637.2012.02.011
Citation: YANG Li-ya, SHAO Chun-fu, HAGHANI A. Nested logit model of combined selection for travel mode and departure time[J]. Journal of Traffic and Transportation Engineering, 2012, 12(2): 76-83. doi: 10.19818/j.cnki.1671-1637.2012.02.011
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Nested logit model of combined selection for travel mode and departure time

doi: 10.19818/j.cnki.1671-1637.2012.02.011
  • 1.

    School of Public Administration and Policy, Renmin University of China, Beijing 100872, China

  • 2.

    School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China

  • 3.

    Department of Civil and Environment Engineering, University of Maryland, Park 20742, Maryland, USA

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  • Author Bio:

    YANG Li-ya(1978-), female, lecturer, PhD, +86-10-62514875, liya_yang@263.net

  • Received Date: 2011-11-26
  • Publish Date: 2012-04-25
    Abstract
  • Based on the maximum random utility theory, traveler characteristic, travel characteristic and the service level of travel mode were taken as utility variables, travel mode and departure time were taken as alternative parts, and two nested logit(NL) models were built, one structure with departure time located in lower layer and another structure with travel mode located in lower layer.The sample data of resident travel in Beijing City were analyzed, and the travel behavior changes of car travelers were simulated when different car travel costs were charged in morning peak period.Calculation result shows that compared with traditional MNL model, there is better statistic characteristic in NL model.After adjustment, the goodness of fit increases from 0.338 to 0.404.In the two NL models, the structure with departure time located in lower layer has stronger adaptability on sample data than the structure with travel mode located in lower layer.While car travel cost in morning peak period is 5 yuan, 72.6% of car travelers will still insist on original travel mode and departure time, 22.4% of car travelers will still insist on original travel mode, but will change departure times, 4.8% of car travelers will turn to public transit, but will still insist on original departure time, and only 0.2% of car travelers will change travel mode and departure time simultaneously.While car travel cost in morning peak period is 10 yuan, 51.7% of car travelers will still insist on original travel mode and departure time, 40.4% of car traveler will still insist on original travel mode, but will change departure times, and only 7.9% of car travelers will turn to public transit, but will still insist on original departure time.While car travel cost in morning peak period is 20 yuan, 27.5% of car travelers will still insist on original travel mode and departure time, 60.6% of car travelers will still insist on original travel mode, but will change departure times, and only 11.9% of car travelers will turn to public transit, but will still insist on original departure time.

     

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