Urban footpath quality and pedestrian level of service is a popular subject for modelling and simulation in transport engineering. This paper reports an investigation into the capacity of footpaths alongside a city street in Sari, Iran to determine whether the current provision can meet the present and forecast pedestrian demand, or whether improvements are required. To assess the capacity of the footpaths, a database including the location and time, speed and number of pedestrians, as well as determining and identifying points of footpaths with relatively high crowding, was prepared. Finally, the level of service (LOS) was obtained using a US code and proprietary modelling tool. The results indicated that some sections of the route were currently below an acceptable LOS and needed improvement to provide an adequate provision for pedestrians. When factoring in forecast growth, the LOS in these substandard sections was predicted to reduce even further and, without improvement, could undermine future economic growth.
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September 2019
Research Article|
April 26 2018
Urban footpath analysis and simulation – a case study in Sari – Iran Available to Purchase
Milad Rahmati;
Milad Rahmati
Graduated MSc, Department of Civil Engineering, Shahrood Branch, Islamic Azad University, Shahrood, Iran
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Ehsan Kashi
Ehsan Kashi
Assistant Professor, Department of Civil Engineering, Shahrood Branch, Islamic Azad University, Shahrood, Iran (corresponding author: e.kashi@iau-shahrood.ac.ir)
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Publisher: Emerald Publishing
Received:
July 07 2017
Accepted:
January 14 2018
Online ISSN: 1751-7699
Print ISSN: 0965-0903
ICE Publishing: All rights reserved
2018
Proceedings of the Institution of Civil Engineers - Municipal Engineer (2019) 172 (3): 164–174.
Article history
Received:
July 07 2017
Accepted:
January 14 2018
Citation
Rahmati M, Kashi E (2019), "Urban footpath analysis and simulation – a case study in Sari – Iran". Proceedings of the Institution of Civil Engineers - Municipal Engineer, Vol. 172 No. 3 pp. 164–174, doi: https://doi.org/10.1680/jmuen.17.00023
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