MICROCOMPUTERS IN TRANSPORTATION. USE OF GEOGRAPHIC INFORMATION SYSTEM FOR TRANSPORTATION DATA ANALYSIS
Shirley Hsiao, James W. Sterling
Abstract
Shirley Hsiao, James W. Sterling
Abstract
This is a description of how geographic information system techniques were applied to analyze commuter rail survey data from which a Los Angeles intercounty rail service design can be projected and tailored. It is noted that the use of the geographic information system enhances the accuracy and efficiency of O-D survey data analysis and provides detailed spatial analysis results for transportation service evaluation. The GIS provides a flexible approach for data analysis. It was found that both short term commuting service design and long range transportation planning activities can be developed based upon a common GIS database structure, from which specific information can be queried to address unique project purposes. This makes possible an integrated data analysis environment.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
This is a description of how geographic information system techniques were applied to analyze commuter rail survey data from which a Los Angeles intercounty rail service design can be projected and tailored. It is noted that the use of the geographic information system enhances the accuracy and efficiency of O-D survey data analysis and provides detailed spatial analysis results for transportation service evaluation. The GIS provides a flexible approach for data analysis. It was found that both short term commuting service design and long range transportation planning activities can be developed based upon a common GIS database structure, from which specific information can be queried to address unique project purposes. This makes possible an integrated data analysis environment.
Key concepts: Geographic information system, Service (business), Transport engineering, Computer science, Information system, GIS and public health, Spatial analysis, Database