Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Fotgängares gånghastigheter i bytespunkter för kollektivtrafik
KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport Planning, Economics and Engineering.
KTH, School of Architecture and the Built Environment (ABE), Transport Science, Transport Planning, Economics and Engineering.
2017 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Walking speeds are an important parameter in the process of designing for example arenas, malls

and station environments, to be able to make them safe and comfortable for the users. Previous

studies have mainly focused on pedestrian walking speeds at zebra crossings and the results of these

are the basis for traffic signal timing. The studies have also investigated the relationship between

walking speed and gender, age and density of pedestrians. From the results of these studies,

conclusions have been drawn that these three factors have an impact on pedestrian walking speeds.

To make microsimulations of pedestrians reflect reality as well as possible, pedestrian walking speeds

should be investigated at regular intervals, as walking speeds change with the ongoing change of the

composition of the population. In the simulation of station environments, pedestrian speeds should

also be used that have been measured in these types of environments. Alternatively, the speeds

should be measured at locations near stations, rather than using speeds from zebra crossings.

As a step in improving the above-mentioned microsimulations, the aim of this work is to study

walking speeds at a public transport hub during rush hour. The work also focuses on connecting

walking speeds to each sex and level of crowding. To achieve this goal, video recordings were

performed at the exchange point between Stockholms östra and Tekniska högskolan in Stockholm,

Sweden, where public transport passengers change between light rail and subway.

Analysis of the video films resulted in walking speeds which were higher than those previously

measured at zebra crossings. The most obvious factors explaining this are the differences in the

environment where the studies were conducted and that the walking speeds in this thesis were

measured during rush hour. The results show that simulations of stations and locations nearby

should not be based on walking speeds measured at zebra crossings. Analysis of the video films also

resulted in the calculated mean walking speed of women being marginally lower than for men.

Regarding the link between density of pedestrians and their walking speeds a conclusion can be

drawn that at low densities pedestrians have good opportunities to freely select their own walking

speed. The freely chosen walking speed which can thus be maintained at low densities can vary

widely between different individuals. At higher, unlike at lower densities, it is difficult for pedestrians

to maintain a freely chosen speed due to interactions with other pedestrians. The calculated average

walking speed at higher densities therefor decreases as the density increases. Interactions with other

pedestrians can either mean that a pedestrian is forced to lower the speed or that he or she must

walk faster to keep up with the current pace.

When analyzing the video films, several other factors effecting the walking speed could be noted. Of

these factors, grouping of pedestrians and if the pedestrian is using a phone or carrying luggage

could be seen to decrease the pedestrian speed.

These factors’ impact on walking speeds was only

superficially studied in this thesis, and no reliable conclusions can therefore be drawn.

Keywords:

Pedestrian walking speed, public transport traffic hub, density of pedestrians, Level of

Place, publisher, year, edition, pages
2017.
Series
TSC-BT ; 17-001
Keywords [en]
Pedestrian walking speed, public transport traffic hub, density of pedestrians, Level of Service, microsimulation, Vissim, Viswalk
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-209909OAI: oai:DiVA.org:kth-209909DiVA, id: diva2:1115063
Available from: 2017-06-26 Created: 2017-06-26

Open Access in DiVA

fulltext(2275 kB)40 downloads
File information
File name FULLTEXT01.pdfFile size 2275 kBChecksum SHA-512
76887b09cab6e5ef0b5a39f4aa065d9778cded395842848abab9c6255b28a84364fc2b3698bb10f242ea2121be8025b68642747ce746b408de5cbcf49b94396f
Type fulltextMimetype application/pdf

By organisation
Transport Planning, Economics and Engineering
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 40 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 48 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf