Civil and Sustainable Urban Engineering
Vol. 1 Iss. 1 (2021)

Investigating the Use of Active Transportation Modes Among University Employees Through an Advanced Decision Tree Algorithm

Mahdi Aghaabbasi (Centre for Sustainable Urban Planning and Real Estate (SUPRE), Department of Urban and Regional Planning, Faculty of Built Environment, University of Malaya, Malaysia)
Muhammad Zaly Shah (Center for Innovative Planning and Development (CIPD), Department of Urban and Regional Planning, Faculty of Built Environment and Surveying, Universiti Teknologi Malaysia, Malaysia)
Rosilawati Zainol (Centre for Sustainable Urban Planning and Real Estate (SUPRE), Department of Urban and Regional Planning, Faculty of Built Environment, University of Malaya, Malaysia)



Article Info

Publish Date
15 Nov 2021

Abstract

Now more than ever, the health and economic benefits of active transportation (AT) are evident and several planning efforts and programs are particularly targeted at improving active transportation options for different populations, such as students and seniors. Administrative employees at universities received less attention in the literature than other population groups.This population spends a lot of time doing sedentary activities and behaviors during their working time. Thus, the present study used a C5 decision tree to examine the usage of university employees’ AT modes when they are out of campus to get to work, shopping, and leisure. The effects of the sociodemographic and living environment of employees on their AT mode choice were also examined. According to the results, walking was the most frequently used mode to get to work and leisure and public transport was the most frequently used mode to get to shopping. Transit station conditions (25), sidewalk availability and coverage (36), and bike path availability and coverage (30) were the most important factors in the use of AT modes by employees to get to work, shop, and leisure, respectively. Furthermore, several decision rules were extracted from the C5 tree, which included combinations of multiple factors.

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Journal Info

Abbrev

csue

Publisher

Subject

Civil Engineering, Building, Construction & Architecture Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Transportation

Description

The journal is intended to provide a platform for research communities from different disciplines to disseminate, exchange and communicate all aspects of basic and applied research involving three important divisions of Civil Engineering, Construction Management and Urban Engineering. The journal ...