Choice Modelling of a Car Traveler towards Park-and-Ride Services in Putrajaya to Create Green Development

Irfan Ahmed Memon, Noman Sahito, Saima Kalwar, Jinsoo Hwang, Madzlan Napiah and Muhammad Zaly Shah
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Irfan Ahmed Memon: Department of City & Regional Planning, Mehran University of Engineering & Technology, Jamshoro 76062, Pakistan
Noman Sahito: Department of City & Regional Planning, Mehran University of Engineering & Technology, Jamshoro 76062, Pakistan
Saima Kalwar: Department of City & Regional Planning, Mehran University of Engineering & Technology, Jamshoro 76062, Pakistan
Jinsoo Hwang: College of Hospitality and Tourism Management, Sejong University, 98 Gunja-dong, Gwanjin-gu, Seoul 143-747, Korea
Madzlan Napiah: Department of Civil & Environmental Engineering, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Malaysia
Muhammad Zaly Shah: Department of Urban & Regional Planning, Faculty of Built Environment, Universiti Teknologi Malaysia, Skudai 81310, Malaysia

Sustainability, 2021, vol. 13, issue 14, 1-25

Abstract: Putrajaya is facing an increasing number of private car ownership and its usage. Integrated transportation infrastructure connecting the city with suburban areas and comparatively low-cost housing schemes are at the fringes of Putrajaya City. It creates a discrepancy between housing and employment attentiveness. Due to the attractiveness of jobs in the city centre, commuters’ travelling pattern is morning/evening peak hours, and it leads to traffic congestion on a few major artilleries leading to and from the city. In contrast, Putrajaya was designed to achieve a 70:30 modal split ratio. This policy was introduced to target 70% of the commuters towards a sustainable mode of transport as their mode choice. Currently, congestion in Putrajaya is due to the use of single-occupant vehicles (SOV). The SOV users cannot be convinced to use the park-and-ride services (P&RS) without understanding their travel behaviors. Therefore, the mode choice models (MCM) were developed through binary logit regression (BLR) approaches to determine the factors that influence the SOV travelers’ decisions to adopt the P&RS. As a result, several factors, which included the socio-demographic factors, travel time, travel expenses, environmental protection, avoiding stress, parking problems, vehicles sharing, and traveling directly, were found to be significant and will promote green development. Furthermore, the quality of the developed mode choice model was validated through the training and testing approach of logistic regression. Ultimately, this study can help stakeholders to encourage SOV users towards P&RS by overcoming these factors.

Keywords: park-and-ride service; mode choice model (MCM); travel behavior; single occupant vehicle (SOV); binary logit regression (BLR); Putrajaya; green development (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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