Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Reducing the uncertainty induced by spatial aggregation in accessibility and spatial interaction applications
https://orcid.org/0000-0002-6489-5443
https://orcid.org/0000-0001-6225-4813
AbstractAnalyses of spatial interaction are to some degree plagued by uncertainty regarding the impact of spatially dispersed interaction masses within zones on travel times. In this paper, interaction-weighted travel times are computed from a matrix between regularly distributed points at fine resolution, and used together with secondary data to improve estimates of interaction weighted travel time based on commonly applied methods. The paper proposes a method for computing intra-zonal, interaction weighted travel times that is considerably less sensitive to spatial aggregation than existing approaches, and demonstrates that population-weighted centroids are to be preferred over geographically-weighted centroids.
HighlightsWe focus on methods to reduce scale dependencies in estimation of travel time.Harmonic-mean methods are used to obtain benchmark travel times and distances.Methods are introduced to substantially improve intra-zonal travel time accuracy.Mass-weighted centroids should be used to compute extra-zonal travel time.Errors in extra-zonal travel times are largely zone-specific, but no useful penalty variable is found.
Reducing the uncertainty induced by spatial aggregation in accessibility and spatial interaction applications
https://orcid.org/0000-0002-6489-5443
https://orcid.org/0000-0001-6225-4813
AbstractAnalyses of spatial interaction are to some degree plagued by uncertainty regarding the impact of spatially dispersed interaction masses within zones on travel times. In this paper, interaction-weighted travel times are computed from a matrix between regularly distributed points at fine resolution, and used together with secondary data to improve estimates of interaction weighted travel time based on commonly applied methods. The paper proposes a method for computing intra-zonal, interaction weighted travel times that is considerably less sensitive to spatial aggregation than existing approaches, and demonstrates that population-weighted centroids are to be preferred over geographically-weighted centroids.
HighlightsWe focus on methods to reduce scale dependencies in estimation of travel time.Harmonic-mean methods are used to obtain benchmark travel times and distances.Methods are introduced to substantially improve intra-zonal travel time accuracy.Mass-weighted centroids should be used to compute extra-zonal travel time.Errors in extra-zonal travel times are largely zone-specific, but no useful penalty variable is found.
Reducing the uncertainty induced by spatial aggregation in accessibility and spatial interaction applications
https://orcid.org/0000-0002-6489-5443
https://orcid.org/0000-0001-6225-4813
AbstractAnalyses of spatial interaction are to some degree plagued by uncertainty regarding the impact of spatially dispersed interaction masses within zones on travel times. In this paper, interaction-weighted travel times are computed from a matrix between regularly distributed points at fine resolution, and used together with secondary data to improve estimates of interaction weighted travel time based on commonly applied methods. The paper proposes a method for computing intra-zonal, interaction weighted travel times that is considerably less sensitive to spatial aggregation than existing approaches, and demonstrates that population-weighted centroids are to be preferred over geographically-weighted centroids.
HighlightsWe focus on methods to reduce scale dependencies in estimation of travel time.Harmonic-mean methods are used to obtain benchmark travel times and distances.Methods are introduced to substantially improve intra-zonal travel time accuracy.Mass-weighted centroids should be used to compute extra-zonal travel time.Errors in extra-zonal travel times are largely zone-specific, but no useful penalty variable is found.
Reducing the uncertainty induced by spatial aggregation in accessibility and spatial interaction applications
Stępniak, Marcin (Autor:in) / Jacobs-Crisioni, Chris (Autor:in)
Journal of Transport Geography ; 61 ; 17-29
14.04.2017
13 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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