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Beijing rail transit can actively control the density of rail transit passenger flow, ensure travel facilities and provide a safe and comfortable riding atmosphere for rail transit passengers during the epidemic. The purpose of this paper is to efficiently monitor the flow of rail passengers, the first method is to regulate the flow of passengers by means of a coordinated connection between the stations of the railway line; the second method is to objectively distribute the inbound traffic quotas between stations to achieve the aim of accurate and reasonable control according to the actual number of people entering the station.

This paper analyzes the rules of rail transit passenger flow and updates the passenger flow prediction model in time according to the characteristics of passenger flow during the epidemic to solve the above-mentioned problems. Big data system analysis restores and refines the time and space distribution of the finely expected passenger flow and the train service plan of each route. Get information on the passenger travel chain from arriving, boarding, transferring, getting off and leaving, as well as the full load rate of each train.

A series of digital flow control models, based on the time and space composition of passengers on trains with congested sections, has been designed and developed to scientifically calculate the number of passengers entering the station and provide an operational basis for operating companies to accurately control flow.

This study can analyze the section where the highest full load occurs, the composition of passengers in this section and when and where passengers board the train, based on the measured train full load rate data. Then, this paper combines the full load rate control index to perform reverse deduction to calculate the inbound volume time-sharing indicators of each station and redistribute the time-sharing indicators for each station according to the actual situation of the inbound volume of each line during the epidemic. Finally, form the specified full load rate index digital time-sharing passenger flow control scheme.

The importance of tourism for France's economy and society means that proper knowledge of tourism flows is essential. But designing a measuring system and periodic gathering of statistical data raise several difficulties. First, tourism is, by definition, based on movement, and all phenomena involving movement are difficult to measure. Second, there are many different forms of tourism, including holidays and business trips, short and long stays and so forth. Third, the notion of tourism flows has different meanings for those in charge of road, rail or air traffic management, and for those in charge of tourist visits.

This paper first discusses the ambiguities of the notions used in tourism studies. It emphasises the distinction between tourist flows along transportation routes and those in specific places. It then reviews the proper calculation rules for each of the geographical objects used for measuring tourism phenomena, which are primarily lines and areas. It also addresses some of the problems raised by the failure to comply with these rules in published information.

Third, this paper presents the various systems used to measure tourist flows and inflows, and discusses their usefulness and limitations, before discussing some new developments in the field.

Finally, it examines the potential value of modern communication technologies for mobility studies. More specifically, it raises the issue of striking the right balance between statistical accuracy and individual freedom.

This chapter examines the issues of the low-cost carriers (LCCs) in Japan and their impact on the domestic and international aviation markets. “Genuine” LCCs, such as Peach Aviation and Jetstar Japan, began their operations in 2012 to follow the new movement of low-cost and low-fare airlines, which are different from the “new emerging” airlines, such as Skymark and AIRDO that appeared in the late 1990s. We discuss the recent history of LCCs in Japan, the characteristics of each LCC, the competitiveness of the high-speed railway in the domestic market, the impact of open sky policies, and the contribution of inbound foreign visitors to the international passenger volume increase. As LCCs in Japan have recently begun operations, they can continue to play a significant role in the Japanese aviation market.

This paper presents the UE‐Eurostat methodology to design and implement a system of surveys of inbound tourism. It has been thought for the homogeneisation of the information systems of the EU countries and for the development of the cooperation in the field of tourism statistics between the European Union and other relevant extra‐Europe regions. Furthermore, the methodology wants to give a common framework of analysis for the collection and processing of comparable statistics at each territorial level. The general research process has been split up into nine fundamental steps which represent the stages a researcher has to follow in order to obtain reliable data on visitor flows, visitors' and trip characteristics, consumption behaviour and opinions and impressions on the trip and the visit. It has been implemented for closed areas (areas with political borders, e.g. a country, geographical borders, e.g. a island, artificial borders, e.g. a museum, a theme park, an archaeological area) and open areas (a macro‐region, a region, a single tourist destination, e.g. a city, or tourist site, e.g. a square).