Smart commuting for urban low-cost residents to workplace / Adzlia Noor Nadiah Abdul Rahman
Urban mobility is a challenge for urban developing country. Efficient and wellorganised mobility planning for urban areas brings significant benefit to the growth of the economy, society and the environment. Public transport services that offer proficient mobility option will help attract more passe...
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my-uitm-ir.1007232024-12-09T08:05:19Z Smart commuting for urban low-cost residents to workplace / Adzlia Noor Nadiah Abdul Rahman 2017 Abdul Rahman, Adzlia Noor Nadiah Geographic information systems Urban mobility is a challenge for urban developing country. Efficient and wellorganised mobility planning for urban areas brings significant benefit to the growth of the economy, society and the environment. Public transport services that offer proficient mobility option will help attract more passengers in making public transportation as obvious transport choice. A depressing consequence on daily life and productivity of the employee occurs due to these lateness problems because of the traffic congestion. Excellent time management enhances the quality life for employees that help decrease tardiness, absenteeism and improve productivity in the workplace. The research methodology comprises of the interview sessions with authorising personals and the distribution of questionnaire survey forms to the resident of low-cost housing areas in Melaka Tengah District in Malaysia. Social Package Statistical Software (SPSS) and Geographic Information System (GIS) techniques were used to show accessibility pattern preference of transportation mode and distance parameter to the workplace. Utilisation of GIS network analysis on pathfinding helps in reviewing the current path taken and also used to establish the optimal suggestion of routes that can be taken by the commuter. It is shown that higher numbers of the respondent choose private vehicle as the transportation mode to the workplace. This result to the traffic congestion during peak hours, especially when they're going to the workplace and back from the workplace. It is crucial that another alternative travelling mode reduces the problems of traffic congestion. The bus route network analysis showed that the existing bus route is taking too many hassles for respondent. The new bus route is proposed to cut down this hassle, which includes of reducing the travel time and distance from the increasing number of trips so that the public transport can be optimally utilised by commuting smartly when travelling to their workplace 2017 Thesis https://ir.uitm.edu.my/id/eprint/100723/ https://ir.uitm.edu.my/id/eprint/100723/1/100723.pdf text en public masters Universiti Teknologi MARA (UiTM) Faculty of Architecture, Planning and Surveying |
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Universiti Teknologi MARA |
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UiTM Institutional Repository |
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English |
topic |
Geographic information systems |
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Geographic information systems Abdul Rahman, Adzlia Noor Nadiah Smart commuting for urban low-cost residents to workplace / Adzlia Noor Nadiah Abdul Rahman |
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Urban mobility is a challenge for urban developing country. Efficient and wellorganised mobility planning for urban areas brings significant benefit to the growth of the economy, society and the environment. Public transport services that offer proficient mobility option will help attract more passengers in making public transportation as obvious transport choice. A depressing consequence on daily life and productivity of the employee occurs due to these lateness problems because of the traffic congestion. Excellent time management enhances the quality life for employees that help decrease tardiness, absenteeism and improve productivity in the workplace. The research methodology comprises of the interview sessions with authorising personals and the distribution of questionnaire survey forms to the resident of low-cost housing areas in Melaka Tengah District in Malaysia. Social Package Statistical Software (SPSS) and Geographic Information System (GIS) techniques were used to show accessibility pattern preference of transportation mode and distance parameter to the workplace. Utilisation of GIS network analysis on pathfinding helps in reviewing the current path taken and also used to establish the optimal suggestion of routes that can be taken by the commuter. It is shown that higher numbers of the respondent choose private vehicle as the transportation mode to the workplace. This result to the traffic congestion during peak hours, especially when they're going to the workplace and back from the workplace. It is crucial that another alternative travelling mode reduces the problems of traffic congestion. The bus route network analysis showed that the existing bus route is taking too many hassles for respondent. The new bus route is proposed to cut down this hassle, which includes of reducing the travel time and distance from the increasing number of trips so that the public transport can be optimally utilised by commuting smartly when travelling to their workplace |
format |
Thesis |
qualification_level |
Master's degree |
author |
Abdul Rahman, Adzlia Noor Nadiah |
author_facet |
Abdul Rahman, Adzlia Noor Nadiah |
author_sort |
Abdul Rahman, Adzlia Noor Nadiah |
title |
Smart commuting for urban low-cost residents to workplace / Adzlia Noor Nadiah Abdul Rahman |
title_short |
Smart commuting for urban low-cost residents to workplace / Adzlia Noor Nadiah Abdul Rahman |
title_full |
Smart commuting for urban low-cost residents to workplace / Adzlia Noor Nadiah Abdul Rahman |
title_fullStr |
Smart commuting for urban low-cost residents to workplace / Adzlia Noor Nadiah Abdul Rahman |
title_full_unstemmed |
Smart commuting for urban low-cost residents to workplace / Adzlia Noor Nadiah Abdul Rahman |
title_sort |
smart commuting for urban low-cost residents to workplace / adzlia noor nadiah abdul rahman |
granting_institution |
Universiti Teknologi MARA (UiTM) |
granting_department |
Faculty of Architecture, Planning and Surveying |
publishDate |
2017 |
url |
https://ir.uitm.edu.my/id/eprint/100723/1/100723.pdf |
_version_ |
1818587989660401664 |