Changes in travel-times in the Capital Region of Helsinki

Vuokko Heikinheimo,

Henrikki Tenkanen,

Maria Salonen & Tuuli Toivonen

Accessibility Research Group

University of Helsinki

Changes in Regional Accessibility Patternsbased on the Helsinki Region Travel Time Matrix

Contents of this Presentation

• Background:

– New Transport Lines in the Capital Region

– Helsinki Region Travel Time Matrix data

– What’s new in the 2015 dataset?

• Regional changes:

– Most accessible locations (”Best 10 %”)

• Examples:

– Changes in public transport accessibility

– Travel time maps for selected destinations

CONTENTS BACKGROUND REGIONAL CHANGES EXAMPLES REFERENCES

New Transport Lines in the

Capital Region

• New rail line to the airport (Kehärata)

opened up for traffic on 1 July 2015

• New bus route network in Vantaa

was launched on 10 August 2015

• New transverse ”Trunk route” bus

560 between Rastila and Myyrmäki

More information on routes and schedules

from Helsinki Region Transport (HRT)


https://www.hsl.fi/en/ring-rail-line-and-vantaa-bus-network

Helsinki Region Travel Time Matrix


• Travel time and distanceinformation for walking, publictransportation and car from theCapital Region of Helsinki.

• Results between all 250 x 250 m grid squares in the Region areavailable for 2013 and 2015

• More information is available at the Accessibility ResearchGroup’s website:

http://blogs.helsinki.fi/accessibility/helsinki-region-travel-time-matrix/

Figure 1. Example visualization of travel time by public transportation during midday

traffic for one of the 13231 destinations (Helsinki Central Railway Station) included in

the Helsinki Region Travel Time Matrix datasets

http://blogs.helsinki.fi/accessibility/helsinki-region-travel-time-matrix/

What’s new in the 2015 dataset?

• Results for midday traffic are fullycomparable between the Travel Time Matrix datasets from 2013 and 2015. Comparisons in this presentation arebased on midday travel times.

• In addition, the 2015 dataset containsinformation for morning rush-hour for both public transportation and car.

• Furthermore, an additional dataset for travel-related CO2 emissions can belinked to the 2015 dataset. More information on our website!

CO2..?


http://blogs.helsinki.fi/accessibility/travel-co2-matrix/

Most Accessible Grid Squares

The most accessible 10 % of the 250 x 250 m grid squares by public tranportation and car

Car and public transportation

Car

Public transportation

2015


Figure 2. The best 10 % of the 250 x 250 m statistic grid squares in the Capital Region in terms of accessibility by public transportation and car in 2015.

• This map shows the best 10 % of all

the 250 x 250 m statistic grid squares

in the Capital Region (n=13231) in

terms of accessibility by public

transportation and car based on the

Helsinki Region Travel Time Matrix

2013.

• Here, the accessibility of a grid

square is calculated as the median

travel time from all other grid squares

to the particular grid square using the

selected mode of transport.

• ”Hotspot” grid squares that are the

most accessible ones with both car

and public tranpsortation are shown

with purple on the map.


• 10 % best grid squaresby public transportation

– The general pattern hasremained the same

– Destinations along newtransverse routes havebecome better

Figure 3. The best 10 % of the 250 x 250 m statistic grid squares in the Capital Region in terms of public transport accessibility.


Best 10 % (both years)

Best 10 % (only in 2015)



Figure 4. The best 10 % of the 250 x 250 m statistic grid squares in the Capital Region in terms of accessibility by private car.


Best 10 % (both years)


Best 10 % (only in 2013)• 10 % best grid squares by

private car

– The general pattern has

remained the same

– There is no clear pattern in

the grid squares that have

become more central

Changes in Public Transport

Accessibility

In the following slides, we visualize the changes in public transport

accessibility between 2013 and 2015 for selected destinations based

on the Helsinki Region Travel Time Matrix datasets.


Highlights:

• Travel times to the Helsinki City Center have become faster from along the

new rail line in Vantaa (compare figures 5 and 6).

• Connections to the Helsinki-Vantaa airport have become better – more people

can travel faster to the airport using public transport (see figure 8 c).

• Transverse trips towards Myyrmäki have become faster (figures 11 and 12),

while some transverse trips have become slower, for example when traveling

towards Tikkurila in Vantaa (figures 13 and 14).

a.

c.

b.

a. Travel time (minutes) to the

destination at midday traffic

by public transport.

b. Histogram of the travel

time values presented on

the map

c. Population curve: how

many people (2013

population) reach the

destination in given time

using the given mode of

transport.


Travel Time by Public Transport to..

Central Railway Station 2013

Figure 5.

a.

c.

b.






the map


many people (2013




transport.

Central Railway Station 2015



Figure 6.






the map


many people (2013




transport.

Helsinki-Vantaa Airport 2013



a.

c.

b.

Figure 7.

Helsinki-Vantaa Airport 2015

a.

c.

b.






the map


many people (2013




transport.


Figure 8.


a.

c.

b.






the map


many people (2013




transport.

Matinkylä 2013



Figure 9.

a.

c.

b.






the map


many people (2013




transport.

Matinkylä 2015



Figure 10.

a.

c.

b.






the map


many people (2013




transport.

Myyrmäki 2013



Figure 11.

a.

c.

b.






the map


many people (2013




transport.

Myyrmäki 2015



Figure 12.

a.

c.

b.






the map


many people (2013




transport.

Tikkurila 2013



Figure 13.

a.

c.

b.






the map


many people (2013




transport.

Tikkurila 2015



Figure 14.

a.

c.

b.






the map


many people (2013




transport.

Vuosaari 2013



Figure 15.

a.

c.

b.






the map


many people (2013




transport.

Vuosaari 2015



Figure 16.

References:

Data/Tools description:

Toivonen, T., M. Salonen, H. Tenkanen, P. Saarsalmi, T. Jaakkola & J. Järvi

(2014). Joukkoliikenteellä, autolla ja kävellen: Avoin saavutettavuusaineisto

pääkaupunkiseudulla. Terra 126: 3, 127-136.

Dataset DOI / Helsinki Region Travel Time Matrix 2015:

Toivonen, T., H. Tenkanen, V. Heikinheimo, T. Jaakkola, J. Järvi & M. Salonen

(2015). Helsinki Region-Travel Time Matrix 2015. DOI:

10.13140/RG.2.1.1901.3201

Dataset DOI / Helsinki Region Travel Time Matrix 2013:

Toivonen, T., M. Salonen, H. Tenkanen, P. Saarsalmi, T. Jaakkola & J. Järvi

(2014). Helsinki Region Travel Time Matrix 2014. DOI:

10.13140/RG.2.1.2159.3683


http://www.helsinki.fi/science/accessibility/publications/Toivonen_etal_2014_terra.pdf

Data & Analytics

Changes in travel-times in the Capital Region of Helsinki