Next Article in Journal
Decision Making within the Built Environment as a Strategy for Mitigating the Risk of Malaria and Other Vector-Borne Diseases
Next Article in Special Issue
Industrial Data-Based Life Cycle Assessment of Architecturally Integrated Glass-Glass Photovoltaics
Previous Article in Journal
Collaboration Enables Innovative Timber Structure Adoption in Construction
Previous Article in Special Issue
Comprehensive Evaluation of Carbon Emissions for the Development of High-Rise Residential Building
Article Menu
Issue 1 (January) cover image

Export Article

Open AccessArticle
Buildings 2019, 9(1), 1; https://doi.org/10.3390/buildings9010001

Life-Cycle Asset Management in Residential Developments Building on Transport System Critical Attributes via a Data-Mining Algorithm

1
School of Civil and Mechanical Engineering, Curtin University, Perth, WA 6845, Australia
2
Department of Civil and Environmental Engineering, United Arab Emirates University, Al Ain 17666, UAE
*
Author to whom correspondence should be addressed.
Received: 27 November 2018 / Revised: 13 December 2018 / Accepted: 18 December 2018 / Published: 20 December 2018
(This article belongs to the Special Issue Environmental Impact Assessment of Buildings)
Full-Text   |   PDF [3334 KB, uploaded 21 December 2018]   |  

Abstract

Public transport can discourage individual car usage as a life-cycle asset management strategy towards carbon neutrality. An effective public transport system contributes greatly to the wider goal of a sustainable built environment, provided the critical transit system attributes are measured and addressed to (continue to) improve commuter uptake of public systems by residents living and working in local communities. Travel data from intra-city travellers can advise discrete policy recommendations based on a residential area or development’s public transport demand. Commuter segments related to travelling frequency, satisfaction from service level, and its value for money are evaluated to extract econometric models/association rules. A data mining algorithm with minimum confidence, support, interest, syntactic constraints and meaningfulness measure as inputs is designed to exploit a large set of 31 variables collected for 1,520 respondents, generating 72 models. This methodology presents an alternative to multivariate analyses to find correlations in bigger databases of categorical variables. Results here augment literature by highlighting traveller perceptions related to frequency of buses, journey time, and capacity, as a net positive effect of frequent buses operating on rapid transit routes. Policymakers can address public transport uptake through service frequency variation during peak-hours with resultant reduced car dependence apt to reduce induced life-cycle environmental burdens of buildings by altering residents’ mode choices, and a potential design change of buildings towards a public transit-based, compact, and shared space urban built environment. View Full-Text
Keywords: sustainable-development; life-cycle social analysis; public-engagement; modal-variability; transit-policy; work-commute; travel-satisfaction sustainable-development; life-cycle social analysis; public-engagement; modal-variability; transit-policy; work-commute; travel-satisfaction
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Hasan, U.; Whyte, A.; Al Jassmi, H. Life-Cycle Asset Management in Residential Developments Building on Transport System Critical Attributes via a Data-Mining Algorithm. Buildings 2019, 9, 1.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Buildings EISSN 2075-5309 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top