# GTFS

## Temporal resolution

The study of an impact of temporal resolution on precision of travel time and accessibility measurement in public transport analysis. Publication Stępniak, M., Pritchard, J. P., Geurs, K. T., & Goliszek, S. (2019). The impact of temporal resolution on public transport accessibility measurement: Review and case study in Poland. Journal of Transport Geography, 75, 8–24. https://doi.org/10.1016/j.jtrangeo.2019.01.007 (Open access) Abstract In recent years there has been a significant increase of temporally variable analyses of accessibility by public transport as a result of the increased availability of open and standardized time table information in the form of GTFS (General Transit Feed Specification) data.

## GTFS study

Evaluation of a supply side of public transport using GTFS data. Introduction The aim of the study is to evaluate a supply side of public transport. The assumption that lies behind this study is that it should minimize the amount of data required and to guarantee its fully replicability. The result is a set of indicators which enable to evaluate public transport network in a given area and easily compare the results between different cities, functional urban areas (FUA) or metropolises, including international comparisons.

## Policy support tool

Policy support tool for efficient transport policy: using temporal sensitive transport data to identify main accessibility restrictions. Introduction The main aim of the study is to prepare a methodological guidelines and describe data needs related to the evaluation of an impact of particular transport related restrictions of accessibility at the level of the whole city or metropolitan area (global restrictions) and spatial pattern of their distribution (local restrictions). The results of the analyses enable to identify main causes of the limited accessibility in a given area which in turn can be used as a base of the strategic decisions leading towards more efficient transport system.

## {DepartureTime} R package

I have created my first (ever!) #rstats package. It is called {DepartureTime} and its purpose is to prepare a dataset with several departure times for temporally sensitive accessibility analysis. What does {DepartureTime} do? The package consists of one function which permits you to generate a series of departure times applying user-defined temporal resolution and one of four different sampling procedures: Systematic sampling method: departure times are selected using a regular interval defined by the frequency Simple Random sampling method: a specified number of departure times (defined by the frequency) is randomly selected from the time window Hybrid sampling method: departure times are randomly selected from given time intervals (resulted from applied temporal resolution) Constrained Random Walk Sampling sampling method: a first departure time is randomly selected from the subset of the length defined by the frequency and beginning of the time window; then, the next departure time is randomly selected from the subset limited by $$Tn+f/2$$ and $$Tn+f+f/2$$.

## The impact of temporal resolution on public transport accessibility measurement: Review and case study in Poland

In recent years there has been a significant increase of temporally variable analyses of accessibility by public transport as a result of the increased availability of open and standardized time table information in the form of GTFS (General Transit …