Abstract
Transport systems exist within at least two types of space. One is the apparent geographic space, but equally important is the time–space implied by the travel time relations created by the system. Differences between the geographic and time–spaces are properties induced by the transport system. Methods for time–space transformations of geographic space to explore visualize and analyse transport systems were initially developed in the 1960s and 1970s but due to the low computational capacity not evolved yet. However, these methods have not been pursued beyond this initial flurry of research activity, most likely due to the difficulties associated with handling and processing huge amount of digital geographic data. This paper presents a case study of the transformation possibilities and particularly the usage of non-affine transformations of maps – Rubber-Sheet Method (RSM) – using a typical GIS software called ArcView in order to analyse the current status and development possibilities of the Hungarian railway system.
Highlights
It is very common to build distorted graphics in order to highlight relevant information in different cases, for example the CO2 emission on Earth by country (Fig. 1)
Understanding the travel time relationships induced by a transport system can be crucial for assessing its performance
The travel time relationships induced by a transport system imply a time–space connection where relative locations and proximity relationships can differ from those in geographic space
Summary
It is very common to build distorted graphics in order to highlight relevant information in different cases, for example the CO2 emission on Earth by country (Fig. 1). Understanding the travel time relationships induced by a transport system can be crucial for assessing its performance. Less time efficiency in geographic movement can reduce accessibility through the consumption of scarce temporal resources that could otherwise be used for travel and activity participation (Hägerstrand 1970). Spatial variations and patterns in these travel time relationships can help transport analysts and planners understand relative differences in system performance, guiding the planning, design and deployment of transport infrastructure and services towards efficient and equitable outcomes. The travel time relationships induced by a transport system imply a time–space connection where relative locations and proximity relationships can differ from those in geographic space. Time–space maps can provide a synoptic visual summary of the travel time relationships in a given environment, indicating areas where the transport system is
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