Estimating the effects of older people in pedestrian flow: A micro-simulation approach

As the percentage of older people (65 years or older) rapidly increases within the population, it becomes more important to provide with innovative transportation alternatives that would help maintain their independence while also assuring the safety and comfort of other public transit users. As a result, public transit providers should examine and address pedestrian preferences and expectations. Changes in physical factors associated with ageing affect the ability of older pedestrians to function in the traffic environment. Deteriorating eye sight and balance affect walking speed and reaction times. Established pedestrian design and evaluation criteria might need revisiting to reflect current population composition. This paper explores the effects of older pedestrian proportion on flow. Future population proportions are explored based on present trends in population. A micro-simulation approach is employed in order to investigate the potential effects of their increased proportion in pedestrian flow and on the level-of-service (LOS) criteria used in planning and design of pedestrian-dominated facilities. Simulation results show that increased proportion of older pedestrians has the potential to shift LOS to a lower level. A shift from LOS C to D, D to E, and E to F are notable for the higher proportions.

[1]  William H. K. Lam,et al.  PEDESTRIAN FLOW CHARACTERISTICS IN HONG KONG , 1995 .

[2]  B. D. Hankin,et al.  Passenger Flow in Subways , 1958 .

[3]  Joseph L. Schofer,et al.  A STATISTICAL ANALYSIS OF SPEED-DENSITY HYPOTHESES , 1965 .

[4]  K. Fitzpatrick,et al.  Another Look at Pedestrian Walking Speed , 2006 .

[5]  Michelle M. Porter,et al.  Pedestrians' Normal Walking Speed and Speed When Crossing a Street , 2007 .

[6]  John J Fruin,et al.  DESIGNING FOR PEDESTRIANS: A LEVEL-OF-SERVICE CONCEPT , 1971 .

[7]  Jake Pauls Demographic Changes Leading to Deterioration of Pedestrian Capabilities Affecting Safety and Crowd Movement , 2008 .

[8]  Ulrich Weidmann,et al.  Parameters of pedestrians, pedestrian traffic and walking facilities , 2006 .

[9]  Helbing,et al.  Social force model for pedestrian dynamics. , 1995, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[10]  Joseph L. Schofer,et al.  A STATISTICAL ANALYSIS OF SPEED-DENSITY HYPOTHESES. IN VEHICULAR TRAFFIC SCIENCE , 1967 .

[11]  Boris Pushkarev,et al.  CAPACITY OF WALKWAYS , 1975 .

[12]  Dirk Helbing,et al.  Dynamics of crowd disasters: an empirical study. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

[13]  Mark R Virkler,et al.  PEDESTRIAN SPEED-FLOW-DENSITY RELATIONSHIPS , 1994 .

[14]  Chao Yang,et al.  Walking Behavior and Pedestrian Flow Characteristics for Different Types of Walking Facilities , 2008 .

[15]  Ennio Cascetta,et al.  Transportation Systems Engineering: Theory and Methods , 2001 .

[16]  Partha Chakroborty,et al.  Comparison of Pedestrian Fundamental Diagram across Cultures , 2009, Adv. Complex Syst..

[17]  P N Daly,et al.  Pedestrian speed/flow relationships for underground stations , 1991 .

[18]  R. J. Wheeler,et al.  PEDESTRIAN FLOW CHARACTERISTICS , 1969 .

[19]  William H. K. Lam,et al.  Simulating pedestrian movements at signalized crosswalks in Hong Kong , 2008 .

[20]  J Coughlin,et al.  TRANSPORTATION AND OLDER PERSONS: PERCEPTIONS AND PREFERENCES. A REPORT ON FOCUS GROUPS , 2001 .