Assessing asset management competency with focus on levels of service and climate change

Author:

Piryonesi S Madeh1ORCID,El-Diraby Tamer1

Affiliation:

1. Department of Civil and Mineral Engineering, University of Toronto, Toronto, ON, Canada

Abstract

This paper aims at exploring the practice of municipal asset management (AM) planning in Ontario, Canada, and discovering the needs of municipalities. The study is based on conducting a survey of 58 municipalities, studying their AM plans and interviewing municipalities and experts. The findings show that the state of awareness and practice of AM in Ontario has progressed well. Almost all municipalities in Ontario are involved or working on AM systems, and some have reached advanced levels of AM practices. However, several issues persist. Capacity building is at the core of the gaps. There is a need for training professionals on AM concepts and tools. Also, providing guidelines and support for change management in decision-making practices is needed. Smaller municipalities are still facing issues defining the levels of service and linking them to decision making. The next need for AM in Ontario is to link it to climate change strategies and programmes. While some of the municipalities are aware of climate change, they mostly have taken no practical steps regarding adaptation or mitigation. Among key challenges to the success of the Ontario AM strategy is the management of data. There is inconsistency in the specifications for data and limited quality assessment or interoperability guidelines.

Publisher

Thomas Telford Ltd.

Subject

Public Administration,Safety Research,Transportation,Building and Construction,Geography, Planning and Development

Reference27 articles.

1. Esmaili D 2012 Assessing Organizational Competency in Infrastructure Asset Management: The Case of Water and Wastewater in Ontario Municipalities. MSc thesis University of Toronto Toronto, ON, Canada

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Climate change impact on infrastructure: A machine learning solution for predicting pavement condition index;Construction and Building Materials;2021-11

2. Editorial;Infrastructure Asset Management;2021-06

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3