Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Pedestrian self-reports of factors influencing the use of pedestrian bridges
Date
2007-09-01
Author
Rasanen, Mikko
Lajunen, Timo
Alticafarbay, Farahnaz
Aydin, Cumhur
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
220
views
0
downloads
Cite This
The study was designed to find out factors that influence use/non-use of pedestrian bridges. The use rate of five pedestrian bridges was observed in the central business district (CBD) of Ankara. After the observations, a survey was conducted among pedestrians using those bridges and crossing contrary to safe practice under them at street level (n = 408). In the present data, the use rate of pedestrian bridges varied from 6 to 63%. The frequent use of the bridge when crossing the road concerned, and seeing bridge use as time saving and safe in general were positively related to respondents' bridge use. Frequent visits to CBD decreased the likelihood of using the bridge. Other factors accounted only for a small proportion of variance in bridge use. The study suggests that bridge use or non-use is a habit and not coincidental behaviour. For increasing the pedestrians' bridge use, escalators seem to be a good solution, but traffic signals under a bridge may deteriorate the use rate. In addition, increasing the number of legs leading to the bridge may not increase the use rate. The use rate is likely to improve, if the safety benefits and convenience of using the bridge without considerable time loss are clearly visible to pedestrians.
Subject Keywords
Pedestrian Bridge
,
Use rate
,
Traffic Safety
,
Design
,
Habit
URI
https://hdl.handle.net/11511/67850
Journal
ACCIDENT ANALYSIS AND PREVENTION
DOI
https://doi.org/10.1016/j.aap.2007.01.004
Collections
Department of Philosophy, Article
Suggestions
OpenMETU
Core
Pedestrian experiences in Bahçelievler 7th Street: setting the design criteria for the enhancement of urban public realm
Akit, Mert; Bilsel, Fatma Cânâ; Department of City and Regional Planning (2004)
This thesis aims to set out an urban design framework, based on pedestrian experiences and pedestrian spaces, in order to take up streets to design or enhance them as pedestrian friendly urban public places. This could also be considered as a model of approach, which assumes a normative manner. Pedestrian urban places are surveyed, then analyses are drawn that will lead to design. In that framework, the study first summarizes theoretical concepts of urbanity, urban quality and pedestrian experiences, which ...
Live load reliability index evaluation for post tensioned balanced cantilever bridges
Çakır, Berk Bora; Caner, Alp; Department of Civil Engineering (2015)
The purpose of this study is to determine the level of safety of the segmental post tensioned bridges designed according to AASHTO LRFD. Main span lengths are 90, 120, 150, 180 are studied in this paper. Four types of trucks are used; H30-S24T and L (currently be in use to design bridges in Turkey), HL-93(AASHTO), KGM-45 (is a new type of load consisting both axle load and lane load). Statistical parameters of truck loads are determined according to the data gathered from the Division of Transportation and ...
Peak-aware traffic prediction with deep learning models and a driver simulation method with probabilistic hybrid automaton
Acun, Fatih; Aydın Göl, Ebru; Kalkan, Sinan; Department of Computer Engineering (2022-8)
Accurately predicting traffic is crucial due to its impact on urban life in many aspects. Several statistical methods, machine learning, and deep learning approaches are applied to different traffic datasets. In general, traffic follows a stable behavior except for the morning and evening peaks which span a small period in time. To consider a prediction model to be accurate, it must demonstrate successful results during peak hours. In this thesis, a novel distance to mean weighting technique is presented th...
Lifetime Performance Analysis of Existing Reinforced Concrete Bridges. II: Application
Akgül, Ferhat (American Society of Civil Engineers (ASCE), 2005-06-01)
This study, being the second part of a two-part paper, presents the application of a lifetime performance analysis methodology to three reinforced concrete bridges located in an existing bridge network in Colorado. The focus of this paper is on reinforced concrete slabs and girders of these bridges. The limit state equations were previously derived in the companion paper by grouping the random variables, deterministic parameters, and constant coefficients in such a way that the formulas are applicable to re...
Lifetime performance analysis of existing prestressed concrete bridge superstructures
Akgül, Ferhat (American Society of Civil Engineers (ASCE), 2004-12-01)
A general methodology for lifetime performance analysis of existing prestressed concrete girder bridges is presented. Only the superstructure components (slab and girders) are considered. The framework for the methodology is established by identifying four distinct categories: limit state equations, random variables, deterministic parameters, and constant coefficients. The limit state equations are derived by strictly adhering to the load and capacity formulas and requirements set forth in AASHTO specificat...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
M. Rasanen, T. Lajunen, F. Alticafarbay, and C. Aydin, “Pedestrian self-reports of factors influencing the use of pedestrian bridges,”
ACCIDENT ANALYSIS AND PREVENTION
, pp. 969–973, 2007, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/67850.