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  • ...and modeling. Chapter 1 covers ''Why do we model travel?'' and ''What is a travel demand model?'' Among the approaches to travel demand models are:
    838 bytes (104 words) - 16:47, 29 November 2016
  • *Travel forecasting resource's Activity-based models page http://tfresource.org/Category:Activity-based_models *Activity-Based Travel Demand Models: A Primer. The Second Strategic Highway Research Program. published by TRB
    332 bytes (42 words) - 06:09, 24 May 2017
  • ...avel, the types of vehicles and fuels used, energy consumption for vehicle travel and resulting greenhouse gas (GHG) emissions."<ref>Oregon Department of Tra [[Category:Travel models]]
    619 bytes (94 words) - 01:15, 10 February 2017
  • [[File:4stepmodel.png|frame|Illustration of the Four-step travel model <ref>Metropolitan Washington Council of Governments. Accessed Decembe ...recasts that goes back to the 1950s. It was one of the first travel demand models that sought to link land use and behavior to inform transportation planning
    3 KB (398 words) - 22:10, 5 December 2019
  • |data_in=[[GTFS]], [[CTPP]], [[GIS]] shapefiles, travel time (.txt) ===Four-step travel model===
    7 KB (938 words) - 22:27, 6 April 2017
  • ...rs that offer other types of analysis. Visum models transport networks and travel demand, generating forecasts for traffic flows upon which policy and projec ...for road and transit assignment. These include dynamic assignment, static models such as toll and node impedance, time-table assignment, headway assignment,
    4 KB (624 words) - 21:05, 13 June 2017
  • ...closer to the present reduces the uncertainty of inputs that affect future travel.
    3 KB (355 words) - 22:31, 10 September 2012
  • ...in a specific area has the same housing and transportation costs. The LAI models these differences in two ways. First, it distinguishes between renters and ...th a VMT regression model, the SEM allowed for the estimation of household travel behavior. Combined with cost per use data from the Consumer Expenditure Sur
    6 KB (900 words) - 20:47, 31 May 2017
  • One strategy to reduce travel times and provide more reliable transit service is through bus prioritizati ...flex schedule that performed better and faster than other machine learning models and made collecting additional GPS data unnecessary.<ref>Tony Hernandez, [h
    13 KB (1,987 words) - 00:43, 16 February 2019
  • Conveyal Analysis measures travel time as multiple iteration within a travel time window. For example, if the time window is set to 7am to 9am, Conveyal ...wo isochrones are shown for a baseline and project scenario, demonstrating travel accessibility in a 45 minute time window <ref>Analysis-Conveyal https://www
    8 KB (1,180 words) - 12:21, 13 November 2019
  • ...ransportation GIS software product sold by Caliper Corporation that can do travel demand forecasting. Starting with TransCAD 6.0, [[GTFS]] file format input ...one year from the date of delivery, but does not include the travel demand models or the logistics procedures.
    5 KB (640 words) - 02:59, 7 April 2017
  • ...s,"] TR News, Number 292, May-June 2014, p. 65.</ref> All this may affect travel behavior and change how transit agencies schedule service and the emphasis ...ime, reduce actual wait times or lead to changes in trip plans to minimize travel time, as well as increase passengers’ sense of security while waiting. O
    8 KB (1,154 words) - 00:46, 24 April 2015
  • ...vel trends across various demographics. This lets you update travel demand models and plan future routes. Planners can also identify underutilized areas in w
    6 KB (931 words) - 17:46, 8 November 2016
  • ...sively fixed-route or demand-responsive models. Compared to those standard models, in some cases flexible services may be more cost-effective, efficient, ser ...xible service is a more effective use of resources compared to traditional models <ref>[http://www.apta.com/mc/bus/previous/2012/presentations/Presentations/
    13 KB (1,818 words) - 22:59, 9 December 2017
  • Connect bases its model on three factors: vehicle miles of travel (VMT), GreenTRIP Strategy VMT reduction, and parking prediction. ...'' - Using a Center for Neighborhood Technology (CNT) white paper, Connect models the VMT impact of a proposed project using four variables: income, location
    6 KB (892 words) - 17:47, 8 November 2016
  • ...come to be an appropriate metric of location affordability. The Index also models vehicle-miles traveled in order to calculate greenhouse gas emissions. ...ransportation planners a new way to think about the link between land use, travel behavior, and cost of living. By providing a more comprehensive view of the
    7 KB (1,042 words) - 20:49, 31 May 2017
  • ...longer periods in MATSim. The primary advantage of the program is that it models all agents within the population as individuals, acting to maximize their p ...a plan is based on the sum of all activity utilities, plus the sum of all travel disutilities.
    7 KB (983 words) - 18:51, 13 December 2019
  • ...n"; since flat fares do not distinguish between time, type, or distance of travel, transit users traveling shorter distances, during off-peak hours, and usin ...better reflect the variable costs of transit service, encourage riders to travel when excess capacity is available, and subsidize all types of riders roughl
    20 KB (2,947 words) - 18:28, 13 December 2019
  • ...ections|ADA-compliant pedestrian infrastructure]] is a foundation of local travel anywhere, and is especially important in planning transit service. Transit ...nsportation agencies are experimenting with on-demand, shared, and dynamic models to augment traditional fixed-route bus and train services. These services,
    8 KB (1,145 words) - 19:56, 20 May 2019
  • ...educe these barriers, especially as we seek to enable seamless, integrated travel both within and across regions. Leveraging the smartphones most people alre ...microprocessor chip (or “secure element”) embedded in certain smart phone models<ref name=":11">Smart Card Alliance Transportation Council. “Near Field Co
    18 KB (2,424 words) - 17:49, 4 December 2019

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