EconPapers    
Economics at your fingertips  
 

Defining the Pedestrian Fundamental Diagram

Ernst Bosina () and Ulrich Weidmann ()
Additional contact information
Ernst Bosina: ETH Zurich, Institute for Transport Studies and Systems (IVT)
Ulrich Weidmann: ETH Zurich, Institute for Transport Studies and Systems (IVT)

A chapter in Traffic and Granular Flow '17, 2019, pp 383-391 from Springer

Abstract: Abstract First introduced in vehicular traffic, the fundamental diagram is now also used widely in pedestrian transport to describe the relationship between speed, flow, and density. Various equations have been proposed, which often exhibit strong differences. So far, several parameters that influence the pedestrian fundamental diagram have been identified. These parameters do not, however, explain the differences in proposed representations of the fundamental diagrams. Examining the literature, it becomes obvious that even though the concept is applied widely, a detailed and commonly accepted definition of the fundamental diagram for pedestrians is missing. Thus, the term “fundamental diagram” is used to describe different speed–density or flow–density relations. Without a proper definition, also the measurement and data evaluation methods differ strongly, which is then reflected in the resulting fundamental diagram curves. This contribution aims at providing a definition for the pedestrian fundamental diagram. Starting from its origin as a model for pedestrian flow, its background and area of application are discussed. Based on these fundamental insights, a definition for the pedestrian fundamental diagram is proposed. An important aspect of the fundamental diagram concept is its stochastic nature. As the flow at a specific density is not constant, but shows certain variations over time, the fundamental diagram can either be described by its mean value or by using a probabilistic approach. In this contribution, an extension of the fundamental diagram to include its stochastic nature is discussed.

Date: 2019
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-11440-4_42

Ordering information: This item can be ordered from
http://www.springer.com/9783030114404

DOI: 10.1007/978-3-030-11440-4_42

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-06-01
Handle: RePEc:spr:sprchp:978-3-030-11440-4_42