GIS and Transportation Planning

Details

• Creators:
  Khatib, Zaher ; Ou, Yanmei ; Change, Karl
• Corporate Contributors:
  Washington (State). Department of Transportation ; National Research Council (U.S.). Transportation Research Board
• Subject/TRT Terms:
  ARC/INFO Data Collection Digital Mapping Geographic Information Systems GIS Information Processing Latah County (Idaho) Statistical Analysis Traffic Analysis Zones (TAZs) Traffic Demand Modeling Traffic Forecasting Traffic Models Traffic Simulation TRANPLAN, Transportation Planning Trip Distribution

  More +
• DOI:
  https://doi.org/10.21949/1404170
• Resource Type:
  Proceedings
• Geographical Coverage:
  Idaho
• TRIS Online Accession Number:
  00780106
• NTL Classification:
  NTL-PUBLIC TRANSPORTATION-PUBLIC TRANSPORTATION ; NTL-HIGHWAY/ROAD TRANSPORTATION-HIGHWAY/ROAD TRANSPORTATION ; NTL-GEOGRAPHIC INFORMATION SYSTEMS-GEOGRAPHIC INFORMATION SYSTEMS ; NTL-PLANNING AND POLICY-PLANNING AND POLICY ; NTL-PLANNING AND POLICY-Travel Demand ; NTL-OPERATIONS AND TRAFFIC CONTROLS-Traffic Flow ; NTL-REFERENCES AND DIRECTORIES-Statistics
• Abstract:
  Two main objectives of transportation planning are to simulate the current
  
  traffic volume and to forecast the future traffic volume on a transportation
  
  network. Traffic demand modeling typically consists of the following
  
  tasks (1)defining traffic analysis zones (TAZs) based on land-use
  
  characteristics, (2)building the transportation network, (3)collecting traffic
  
  data for calibration, and (4)performing the four-step traffic demand modeling
  
  process of trip generation, trip distribution, mode choice, and trip assignment.
  
  The first two tasks used to be time-consuming because paper maps and aerial
  
  photographs were the primary tools for constructing TAZs and the transportation
  
  network. In recent years, transportation planners have used geographic
  
  information systems (GIS) to perform the tasks. A GIS is a tool capturing,
  
  storing, and analyzing spatial or geo-referenced data. It also has the
  
  additional capability in data integration, such as integration of socioeconomic
  
  and traffic data for traffic demand modeling.
  
  This paper describes our experience of using a GIS to prepare TAZs and the
  
  transportation network for an Idaho statewide traffic demand model. ARC/INFO is
  
  the GIS software package for our pilot study, Latah County. We have used
  
  ARC/INFO to construct TAZs from TIGER files at different spacial scales
  
  and to build the transportation network from different data sources. Using AML
  
  programs, we have run experiments to automatically assign TAZ controids and
  
  centroid connectors, and to measure the effect of centroids and centroid
  
  connectors on traffic demand forecast. Overall, GIS has proved to be an
  
  efficient and effective tool for our study. It should be noted, however, GIS
  
  cannot by itself improve the quality of input data, a critical factor in
  
  transportation planning. This paper describes use of GIS to prepare TAZs and
  
  the transportation network for an Idaho statewide traffic demand model.
  
  Overall, GIS has proved to be an efficient and effective tool. It should be
  
  noted, however, GIS cannot by itself improve the quality of input data, a
  
  critical factor in transportation planning. 10p.
  
  
• Format:
  PDF
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha256:ef1a711167e634ce645b8bd7d83da326448541a898fc37880b8387616a358047
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/12670/dot_12670_DS1.pdf
• File Type:
  [PDF - 636.61 KB ]