CALCULUS project overview | Marcin Stępniak

Open Data

Sun, 05 May 2019 00:00:00 +0100

This section collects links to all the data produced during the project liftime and deposited in open data repository. Apart from the link, a short summary is added to each of the data repositories.

Note that most of the data will be consecutively shared along with the publication of the results.

List of available datasets:

Temporal resolution data: origin-destination matrices (census tracks to public service providers) of travel times by public transport in the city of Szczecin (Poland).
Madrid accessibility: an example datatset of accessibility used for Policy support tool: accessibility to jobs in Madrid at the transport zones level (car and public transport, several scenarios) computed for Madrid case study.

Temporal resolution data

Link to the dataset: Temporal resolution dataset

DOI: 10.18150/repod.7727991

The dataset is compiled to share raw data used for the paper: Stepniak, 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, doi: https://doi.org/10.1016/j.jtrangeo.2019.01.007. accepted for publication on 11th January 2019 (submitted: 18th July 2018).

Authors:

Marcin Stępniak (tGIS, Department of Geography, Complutense University of Madrid, Spain)
Sławomir Goliszek (Institute of Geography and Spatial Organization, Polish Academy of Sciences)
John P. Pritchard (Centre for Transport Studies, University of Twente)
Karst T. Geurs (Centre for Transport Studies, University of Twente)

Description of dataset

The case study area is the city of Szczecin (Poland). The dataset consists of origin-destination (OD) matrices calculated every 1-minute during the four 1-hour-long periods:

1: 02:00 - 03:00
2: 07:00 - 08:00
3: 10:00 - 11:00
4: 22:00 - 23:00

The OD are calculated using the schedule for 21st April 2015. Source of data: http://www.zditm.szczecin.pl/rozklady/GTFS/ [access: 15.04.2015]

Travel times are calculated using the Network Analyst extension of ArcGIS. The network database is built using the Add GTFS to a Network Dataset tool.

Origins: census track centroids (1745 points); Source: https://geo.stat.gov.pl/ [access: 10.11.2015]. These points are used also as destinations (code: OBWOD).

Destinations: geolocated providers of public services:

Adm: City council; source: http://www.szczecin.pl/chapter_59000.asp [access: 10.11.2015]
Zlob: Nurseries; source: http://empatia.mpips.gov.pl/web/piu/dla-swiadczeniobiorcow/rodzina/d3/rejestr-zlobkow-i-klubow# [access: 10.11.2015]
Teatr: Theatres; Source: http://www.e-teatr.pl/pl/instytucje/lista.html [access: 05.09.2015]
SpecHC: Specialized health care; Source: http://www.e-teatr.pl/pl/instytucje/lista.html [access: 05.09.2015]
HOS: Hospitals; Source: http://nfz.gov.pl/ [access: 10.11.2015]
Edu_LO: Secondary schools; Source: https://sio.men.gov.pl/ [access 10.11.2015]

Dataset structure

The main dataset consists of 28 .csv files stored in two subfolders: f03_Aggregates (destinations: Adm, Teatr, SpecHC and Zlob) and f03_Aggregates_Ai (destinations: OBWOD, Edu_LO and HOS). One file contains OD travel time to one destination during one time window. File names: AAAn.csv where AAA is a code of destination and n is the code of time windom [1:4], e.g. HOS2.csv contains travel times from census track centroids to hospitals calculated every 1 minute between 07:00 and 08:00.

Column names:

Or - code of origin
Des - code of destination
61 columns with travel times codes as TtHHMM where HH stands for an hour, and MM for minute of the evaluated departure time (e.g. Tt0205 for the departure time = 02:05).

The supplementary dataset is stored in t00_data subfolder and it consists of 3 .csv files which quantitatively describes attractiveness of selected destinations:

EduLO.csv: number of classess in secondary schools;
HOS.csv: number of beds in hospitals’ departments;
POP.csv: number of population in census tracks.

Licence

License for files: CC-BY-4.0

Column name	Description	Comment
Or	ID of transport zone
Car accessibility
FreeFlow	Free flow speed	Benchmark scenario
Car_Best	Car best-case scenario	Congestion
Car_Avg	Average car	Congestion
Car_Worst	Car worst-case scenario	Congestion
Public transport accessibility
FullFreq	PT - no waiting time	PT route network
PT_Best	PT best-case scenario	Frequency of PT
PT_Avg	Average PT	Frequency of PT
PT_Worst	PT worst-case scenario	Frequency of PT
PT_VarCoeff	Coefficient of variation of PT accessibility	variability of PT accessibility

city	FUA
stops in service during peak hours

stops in service during a night

city	FUA
walking distance to stops in service during peak hours

walking distance to stops during a night

city	FUA
accessibility by public transport during peak hours

accessibility by public transport during a night

ID	Date
rowID (integer), starts with 0	Departure date & hour
Example
0	05/14/2017 00:00
1	05/14/2017 00:09
2	05/14/2017 00:10

	Car accessibility	Public transport accessibility
scenario	Free flow	Best	Average	Worst	no waiting times	Best	Average
Car Best case	95.4
Car Average	90.3	94.6
Car Worst case	86.5	90.7	95.8
PT no waiting times	87.1	91.3	96.6	100.9
PT Best case	76.5	80.2	84.8	88.5	87.7
PT Average	68.0	71.2	75.3	78.6	77.8	88.7
PT Worst case	59.9	62.7	66.3	69.2	68.5	78.1	87.9

Spatial pattern of accessibility restrictions

CALCULUS project overview | Marcin Stępniak

Open Data

Temporal resolution data

Description of dataset

Dataset structure

Licence

Madrid accessibility

Description of dataset

Dataset structure

Licence

Temporal resolution

Publication

Abstract

Repository

CALCULUS project main results

CALCULUS project repository

GTFS study

Introduction

Data

GTFS feed (part)

Evaluation

Preview

Stops location

Frequency

Accessibility by public transport

Contributors

Open code

Sampling departure times

Temporal resolution paper

GTFS Full Frequency

GTFS moveVis

Policy support tool

Introduction

Data

Figure: Speed Profiles

Figure: Structure of GTFS feed (sample)

Data preparation and preliminary analysis

Preparation of Origin-Destination matrices

Accessibility calculation

Spatial pattern of accessibility

Accessibility restrictions at city scale

Speed Profiles

Accessibility restrictions at local scale

Bivariate maps

Concluding remarks

Contributors

Interactive map

Publications

Slides and talks

Invited talks

Conferences and workshops

NECTAR workshops & conferences

Other conferences:

Seminars