{"title":"GTFS中的ÖV-Erreichbarkeitsanalysen /公共交通可达性分析中的GTFS","authors":"Michael Gidam, Robert Kalasek, Florian Pühringer","doi":"10.14627/537698031","DOIUrl":null,"url":null,"abstract":"Public transport – as the key element of an eco-friendly mobility system – is currently underrepresented in GIS-based accessibility analyses due to a lack of data. Efforts to make machinereadable timetable information available in the open GTFS format as OpenData offer new possibilities. The integration of these data into geographical information systems provides the basis for spatial analyses in the field of accessibility and thus the possibility to generate valid accessibility indicators for public transport. This paper discusses examples of first implementations of common indicators, such as travel time budget indicators and gravity based indicators, and shows potentials of enhancing these indicators by incorporating a “probability dimension”.","PeriodicalId":36308,"journal":{"name":"AGIT- Journal fur Angewandte Geoinformatik","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"GTFS in ÖV-Erreichbarkeitsanalysen / GTFS in Public Transport Accessibility Analysis\",\"authors\":\"Michael Gidam, Robert Kalasek, Florian Pühringer\",\"doi\":\"10.14627/537698031\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Public transport – as the key element of an eco-friendly mobility system – is currently underrepresented in GIS-based accessibility analyses due to a lack of data. Efforts to make machinereadable timetable information available in the open GTFS format as OpenData offer new possibilities. The integration of these data into geographical information systems provides the basis for spatial analyses in the field of accessibility and thus the possibility to generate valid accessibility indicators for public transport. This paper discusses examples of first implementations of common indicators, such as travel time budget indicators and gravity based indicators, and shows potentials of enhancing these indicators by incorporating a “probability dimension”.\",\"PeriodicalId\":36308,\"journal\":{\"name\":\"AGIT- Journal fur Angewandte Geoinformatik\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"AGIT- Journal fur Angewandte Geoinformatik\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.14627/537698031\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"AGIT- Journal fur Angewandte Geoinformatik","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14627/537698031","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
GTFS in ÖV-Erreichbarkeitsanalysen / GTFS in Public Transport Accessibility Analysis
Public transport – as the key element of an eco-friendly mobility system – is currently underrepresented in GIS-based accessibility analyses due to a lack of data. Efforts to make machinereadable timetable information available in the open GTFS format as OpenData offer new possibilities. The integration of these data into geographical information systems provides the basis for spatial analyses in the field of accessibility and thus the possibility to generate valid accessibility indicators for public transport. This paper discusses examples of first implementations of common indicators, such as travel time budget indicators and gravity based indicators, and shows potentials of enhancing these indicators by incorporating a “probability dimension”.