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Dynamic accessibility analysis using big data

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(1)

Juan Carlos García Palomares

Javier Gutiérrez

María Henar Salas-Olmedo

Borja Moya-Gómez

ERSA 55th Congress | World Renaissance: Changing roles for people and places

Lisbon, 25-28 August 2015

tGIS | Transport, infrastructure & territory

Departamento de Geografía Humana

Universidad Complutense de Madrid

www.ucm.es/tgis

(2)

Accessibility facilitates modelling

the interaction between land use

and transport systems

People

(3)

ERSA 55th Congress | World Renaissance: Changing roles for people and places Lisbon, 25-28 August 2015

Scarce time

resolution

Static

accessibility

analysis

Traditional

data

sources

(4)
(5)

ERSA 55th Congress | World Renaissance: Changing roles for people and places

Lisbon, 25-28 August 2015

Ciuccarelli, P., Lupi, G., & Simeone, L. (2014): Visualizing the Data City (pp. 17-22). Springer International Publishing.

(6)

Mapping the

dynamics of accessibility

along the

day in order to provide

policy makers

with a

closer vision of accessibility issues

that are

otherwise masked in static accessibility analysis.

(7)

ERSA 55th Congress | World Renaissance: Changing roles for people and places

Lisbon, 25-28 August 2015

Our data

TomTom Speed profiles

Geo-located tweets

INE 2011 Census

(8)

TomTom collects data since 2007

With over 400 million users worldwide

Gets over 7 billion speed and distance

(9)

TomTom Speed profiles

Speed profile data

on every street

segment with over

1,000 observations

98 speed profiles according to speed

(10)

Initial dataset: +6 million tweets in Madrid along 2014

Madrid study area

A grid of 1236 cells (2x2 km) covering:

a) All populated areas in

municipalities with an average density over 500

inhabitants/sq.km. (490 cells)

b) Areas within 15 minutes of travel time (free flow) from any of the cells in a) (746 cells)

(11)

ERSA 55th Congress | World Renaissance: Changing roles for people and places Lisbon, 25-28 August 2015 0 10000 20000 30000 40000 50000 60000 70000 80000 90000 00:00 - 00:59 01:00 - 07:59 08:00 - 08:59 09:00 - 11:59 12:00 - 12:59 13:00 - 16:59 17:00 - 17:59 18:00 - 23:59 Monday Tuesday Wednesday Thursday Friday Saturday Sunday

Number of tweets per hour in each time slot and day of the week

Madrid, 2014

(12)

Number of tweets per hour on Wednesdays

Madrid, 2014

(13)

ERSA 55th Congress | World Renaissance: Changing roles for people and places

Lisbon, 25-28 August 2015

Morning

(09:00 – 11:59)

Number of Twitter users per hour on Wednesdays

Madrid, 2014

Afternoon

(13:00 – 16:59)

Evening

(18:00 – 23:59)

(14)

Morning

(09:00 – 11:59)

Number of Twitter users per hour (relative to total Twitter users)

on Wednesdays, Madrid, 2014

Afternoon

(13:00 – 16:59)

Evening

(18:00 – 23:59)

(15)

ERSA 55th Congress | World Renaissance: Changing roles for people and places

Lisbon, 25-28 August 2015

User profiles

(16)
(17)

ERSA 55th Congress | World Renaissance: Changing roles for people and places

Lisbon, 25-28 August 2015

Preliminary results – potential accessibility

Morning

(09:00 – 11:59)

Afternoon

(13:00 – 16:59)

Evening

(18:00 – 23:59)

(18)

Preliminary results – average total travel time

Morning

(09:00 – 11:59)

Afternoon

(13:00 – 16:59)

Evening

(18:00 – 23:59)

(19)

ERSA 55th Congress | World Renaissance: Changing roles for people and places

Lisbon, 25-28 August 2015

Preliminary results – accumulated opportunities

(30 minutes)

Morning

(09:00 – 11:59)

Afternoon

(13:00 – 16:59)

Evening

(18:00 – 23:59)

(20)
(21)

ERSA 55th Congress | World Renaissance: Changing roles for people and places

Lisbon, 25-28 August 2015

New data sources increase temporal and spatial resolution

This data can be introduced in accessibility indices to evidence

more accurate spatiotemporal patterns

This will help urban and transport planners to make decisions for

specific parts of the city at specific time frames

Further analyses are required to find a better match of time slots

(22)

To analyse the impact of the activity intensity (demand) and the

circumstances of the transport system (offer) separately

To make use of the information contained in each tweet:

Language detection for identifying migrant and tourist patterns

Replies and hashtags for mapping people networks

(23)

ERSA 55th Congress | World Renaissance: Changing roles for people and places

Lisbon, 25-28 August 2015

Juan Carlos García Palomares

Javier Gutiérrez

María Henar Salas-Olmedo

Borja Moya-Gómez

tGIS | Transport, infrastructure & territory

Departamento de Geografía Humana

Universidad Complutense de Madrid

www.ucm.es/tgis

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