Key regions: South America, Malaysia, China, Thailand, United States
The Public Transportation market in Eastern Asia is experiencing significant growth and development, driven by various factors such as increasing urbanization, population growth, and government initiatives to reduce traffic congestion and promote sustainable transportation options. Customer preferences in the Public Transportation market in Eastern Asia are shifting towards more convenient, efficient, and environmentally friendly modes of transportation. People are increasingly opting for public transportation options such as buses, trains, and subways to avoid traffic congestion, save time, and reduce their carbon footprint. Additionally, the younger generation is showing a preference for shared mobility services, such as ride-hailing and bike-sharing, which offer flexibility and affordability. Trends in the market reflect the growing demand for public transportation services. Governments in Eastern Asian countries are investing heavily in the development of modern and efficient transportation infrastructure, including the expansion of subway networks, the introduction of high-speed rail systems, and the implementation of smart transportation technologies. These investments aim to improve connectivity, enhance passenger experience, and reduce travel time. In China, for example, the government has been actively promoting the development of high-speed rail networks, which have become a popular mode of transportation for both domestic and international travel. The expansion of these networks has not only improved connectivity between cities but has also boosted tourism and economic development in the region. Local special circumstances also play a significant role in shaping the Public Transportation market in Eastern Asia. For instance, densely populated cities like Tokyo and Seoul face severe traffic congestion, making public transportation the preferred choice for commuting. The limited availability of parking spaces and high costs associated with private vehicle ownership further drive the demand for public transportation options. Underlying macroeconomic factors, such as economic growth and rising disposable incomes, also contribute to the development of the Public Transportation market in Eastern Asia. As economies in the region continue to grow, more people are able to afford public transportation services, leading to increased ridership and revenue for public transportation operators. In conclusion, the Public Transportation market in Eastern Asia is experiencing growth and development due to changing customer preferences, government initiatives, and underlying macroeconomic factors. The shift towards more convenient and sustainable transportation options, coupled with investments in transportation infrastructure, is driving the demand for public transportation services in the region.
Data coverage:
The data encompasses B2C enterprises. Figures are based on bookings, revenues, and online shares of public transportation.Modeling approach:
Market sizes are determined through a bottom-up approach, building on a specific rationale for each market. As a basis for evaluating markets, we use financial reports, third-party studies and reports, federal statistical offices, industry associations, and price data. To estimate the number of users and bookings, we furthermore use data from the Statista Consumer Insigths Global survey. In addition, we use relevant key market indicators and data from country-specific associations, such as demographic data, GDP, consumer spending, internet penetration, and device usage. This data helps us estimate the market size for each country individually.Forecasts:
In our forecasts, we apply diverse forecasting techniques. The selection of forecasting techniques is based on the behavior of the relevant market. For example, ARIMA, which allows time series forecasts, accounting for stationarity of data and enabling short-term estimates. Additionally, simple linear regression, Holt-Winters forecast, the S-curve function and exponential trend smoothing methods are applied.Additional notes:
The data is modeled using current exchange rates. The market is updated twice a year in case market dynamics change.
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