Man-machine interactive transit system planning
Identifieur interne : 000C68 ( Istex/Corpus ); précédent : 000C67; suivant : 000C69Man-machine interactive transit system planning
Auteurs : Matthias H. RappSource :
- Socio-Economic Planning Sciences [ 0038-0121 ] ; 1971.
Abstract
The problem of finding the best fixed routes for node oriented transit systems is used for an initial implementation and evaluation of a man-machine interactive problem solving system. The interactive graphic system enables a planner/analyst to effectively search for and evaluate a large number of alternative designs in a short period of time. This evaluation is based on a modal split model which predicts the system utilization and cost consequences of each alternative design. The model performs a detailed analysis of the components of the trip of each potential trip maker by the alternative modes of travel by transit or private automobile and it is based on values reflecting the average trip makers perception of disutility of the various trip components. After a conceptual discussion of the problem, the interactive graphic problem solving environment and the model underlying the prediction process, the mechanics of the actual implemented system are described, both in terms of computer hardware and software features. The use of the system is then illustrated with a hypothetical problem situation and the ability of the interactive process to assist the resolution of conflicting objectives and to help a policy making body to reach compromises after a value-oriented discussion. Finally, the paper discusses some issues raised in the prototype analysis relative to (1) the role and performance of the human in the interactive process, (2) alternative solution generation schemes and (3) model calibration.
Url:
DOI: 10.1016/0038-0121(72)90009-2
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Rapp</name><affiliation><mods:affiliation>Urban Systems Laboratory, Departments of Civil Engineering and Urban Planning, University of Washington, Seattle, Washington, USA</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="j">Socio-Economic Planning Sciences</title><title level="j" type="abbrev">SEPS</title><idno type="ISSN">0038-0121</idno><imprint><publisher>ELSEVIER</publisher><date type="published" when="1971">1971</date><biblScope unit="volume">6</biblScope><biblScope unit="issue">1</biblScope><biblScope unit="page" from="95">95</biblScope><biblScope unit="page" to="123">123</biblScope></imprint><idno type="ISSN">0038-0121</idno></series><idno type="istex">CD245A6F01708521D98606653FABB56938722C0E</idno><idno type="DOI">10.1016/0038-0121(72)90009-2</idno><idno type="PII">0038-0121(72)90009-2</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0038-0121</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The problem of finding the best fixed routes for node oriented transit systems is used for an initial implementation and evaluation of a man-machine interactive problem solving system. The interactive graphic system enables a planner/analyst to effectively search for and evaluate a large number of alternative designs in a short period of time. This evaluation is based on a modal split model which predicts the system utilization and cost consequences of each alternative design. The model performs a detailed analysis of the components of the trip of each potential trip maker by the alternative modes of travel by transit or private automobile and it is based on values reflecting the average trip makers perception of disutility of the various trip components. After a conceptual discussion of the problem, the interactive graphic problem solving environment and the model underlying the prediction process, the mechanics of the actual implemented system are described, both in terms of computer hardware and software features. The use of the system is then illustrated with a hypothetical problem situation and the ability of the interactive process to assist the resolution of conflicting objectives and to help a policy making body to reach compromises after a value-oriented discussion. Finally, the paper discusses some issues raised in the prototype analysis relative to (1) the role and performance of the human in the interactive process, (2) alternative solution generation schemes and (3) model calibration.</div></front></TEI><istex><corpusName>elsevier</corpusName><author><json:item><name>Matthias H. 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