The ideal isochrone is a circle in geographical space with a radius that results from unimpeded movement in all directions based on uniform, uninterrupted speed. We propose the ideal (perfect, radial) isochrone and use it to develop indicators for the assessment of the spatio-temporal efficiency of transport systems for use in urban planning and business location decisions. Five selected examples that have been generated with a new software tool and that cover important combinations are presented and discussed. This framework leads to a large set of possible combinations of uncertainty categories. On the other hand, the visualization component is emphasized by applying a dichotomous classification of uncertainty visualization methods. Particular attention is paid, on the one hand, to the impact of the uncertainties in the target values, as these are key factors for reasoning and decision making. This framework takes uncertainties in the input data, in the processing step, in the target variables, and in the final visualization into account. The aim of this contribution is, therefore, to set up a structured framework that describes the integration of uncertainty information for accessibility analyses. Uncertainties in the input data are usually not taken into account. However, these studies generally produce sharply defined lines (called isovarones) or areas (called isovarone areas) that represent the same or similar accessibility. Users can dynamically analyze the areas and people who can reach various home interior stores in the Netherlands within a given time, taking into account traffic conditions and the location of people throughout the day.Īccessibility analyses are an essential step in the evaluation and planning of urban infrastructures such as transport or pipeline networks. A case study is used for the development of this isochrone map. The novelty of this research lies in the combination of spatiotemporal traffic data and spatiotemporal population distribution data presented in a dynamic isochrone web map. However, as a result of new data sources like GSM data, the opportunity arises to investigate how variation in traffic conditions and variation in people’s location influences accessibility through space and time. Until recently, we lacked insight in where people were located throughout the day. Typically, accessibility research includes neither one or only variation in travel time. To analyze the number of people who have access to a given area or location within a given time, two spatiotemporal variations should ideally be taken into account: (1) variation in travel time, which tend to differ throughout the day as a result of changing traffic conditions, and (2) variation in the location of people, as a result of travel. This research combines spatiotemporal traffic and population distribution data in a dynamic isochrone map.
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