Abstract
Hyperloop, projected as fast and efficient, and envisaged as the future of high-speed transportation, does not have much published information about its demand estimation. This paper aims to estimate the willingness of air and car passengers to shift to hyperloop. A nested logit model was used to analyze stated preference data gathered from the air and car travelers along the Bangkok–Chiang Mai sector in Thailand. The variables contributing the most to the modal shift towards hyperloop are total travel cost, total travel time, monthly income, gender, education level, bearer of trip expenses, and number of trips in the last 6 months and duration of stay at the destination. The highest value of elasticity for hyperloop is obtained for the total travel cost followed by total travel time and monthly income. It is concluded that hyperloop will be the predominant mode of transportation between the Bangkok–Chiang Mai sectors with a modal share of almost 50% by the year 2025. Survey results also revealed that the preferences of the passengers in order of priorities for long distance travel are comfort, low travel cost, less travel time, safety, high frequency of travel mode and low CO2 emission. The main contribution of this paper is to provide an insight on factors that may contribute towards a possible shift in mode from car and air to hyperloop. The study will be beneficial to policy makers in developing a strategy for a more efficient mass transportation system using new and emerging technologies.
Highlights
Bangkok, the capital of Thailand, is among one of the well-developed cities in theAsian region
The main contribution of this paper is to provide an insight on factors that may contribute towards a possible shift in mode from car and air to hyperloop
An important property of the multinomial logit (MNL) model is that the ratio of choice probabilities of a pair of alternatives is independent from other alternatives, i.e., the independent from irrelevant alternatives (IIA) property [37]
Summary
The capital of Thailand, is among one of the well-developed cities in the. With the economic development of the Bangkok region, the vehicle ownership in the region has increased significantly in last two decades, resulting in traffic congestion. Bangkok is ranked 11th among the cities that face the worst traffic congestions around the globe [1]. Chiang Mai is among the top three travel destinations in Thailand along with. Being a regional economic and cultural/heritage hub, Chiang Mai attracts millions of tourist and business personnel every year.
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