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.

Highlights

  • Mobility is a critical challenge for developing cities because it is separate from health, schooling, and accommodations [1,2]

  • An approach that combines the revealed preference (RP) and the stated preference (SP) was adopted in this study to model the determining factors that influence the traveler’s mode choice

  • This section first developed a series of models to find the best-fitted model for the collected results from Putrajaya

Read more

Summary

Introduction

Mobility is a critical challenge for developing cities because it is separate from health, schooling, and accommodations [1,2]. According to the Interesting Engineering media report the average driver in Mexico City spends 218 h each year sitting in traffic. This means, if a person works for 35 years, they would be spending more than 315 days stuck behind the wheel. It is difficult to observe the inequality in developing nations. When it comes to travel, a developed country is not a location where the poor owns cars, it is a location where the wealthy use public transportation. In Amsterdam, 30% of the inhabitants use bicycles, even though

Objectives
Methods
Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call