CN113674129B - Airport population coverage calculation method and device and electronic equipment - Google Patents

Airport population coverage calculation method and device and electronic equipment Download PDF

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CN113674129B
CN113674129B CN202110975007.5A CN202110975007A CN113674129B CN 113674129 B CN113674129 B CN 113674129B CN 202110975007 A CN202110975007 A CN 202110975007A CN 113674129 B CN113674129 B CN 113674129B
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airport
train
travel time
population coverage
population
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CN113674129A (en
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张慧如
张昆
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Civil Aviation Airport Planning And Design Research Institute Ltd
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Civil Aviation Airport Planning And Design Research Institute Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract

The invention provides a method and a device for calculating airport population coverage and electronic equipment, wherein the method comprises the following steps: acquiring airport geographic position information; obtaining all train stations accessed to the airport according to the airport geographic position information; acquiring train operation schedule data of all train stations; preprocessing train operation schedule data to obtain train stations meeting travel time requirements; and obtaining airport population coverage according to the train stations meeting travel time requirements. According to the train station meeting the travel time requirement is obtained by preprocessing the train operation schedule data, and the airport population coverage is obtained according to the train station, so that the aggregation of railway transportation data of each level in the air-iron intermodal transportation system is realized, the airport space layout is optimized, and the more effective air-iron integrated comprehensive transportation hub is constructed conveniently.

Description

Airport population coverage calculation method and device and electronic equipment
Technical Field
The invention relates to the technical field of airport big data, in particular to an airport population coverage area calculation method, an airport population coverage area calculation device, electronic equipment and a computer readable storage medium.
Background
At present, china is still in an overall rising development period, and the 'air-iron intermodal' is one of core development contents for releasing economic new vigor and triggering economic new growth in various cities in the face of national and international economic double-circulation economic situation. The civil aviation transport has the convenience of quick arrival in middle and long distance transport, the railway transport has obvious advantages in middle and short distance, the air-iron intermodal transport exerts the transport advantages of different civil aviation and railways, the air transport network is effectively connected with the railway network, and a travel mode of efficient and integrated transport service is provided for passengers. Air-to-air intermodal airport population coverage is an important index for evaluating the service level of the air-to-air intermodal airport in China. The ground service capability of the air-iron intermodal airport in China can be known by analyzing the population coverage of the air-iron intermodal airport, the space layout of the air-iron intermodal airport in China is optimized, the market development potential is predicted more accurately, and a solid foundation is laid for realizing the civil aviation.
However, the air-iron intermodal airport population coverage obtained by the existing estimation method has the defect of low precision because the passenger flow of the airport is greatly changed.
Disclosure of Invention
In order to solve the above problems, an object of an embodiment of the present invention is to provide a method, an apparatus, an electronic device, and a computer readable storage medium for calculating airport population coverage.
An airport population coverage calculation method, comprising:
step 1: acquiring airport geographic position information;
step 2: obtaining all train stations accessing the airport according to the airport geographical position information;
step 3: acquiring train operation schedule data of all train stations;
step 4: preprocessing the train operation schedule data to obtain train stations meeting travel time requirements;
step 5: and obtaining the population coverage range of the airport according to the train stations meeting the travel time requirements.
Preferably, the step 4: preprocessing the train operation schedule data to obtain train stations meeting travel time requirements, wherein the train stations comprise:
step 4.1: judging whether the time interval of each train arriving at the airport in the train operation schedule data is less than or equal to the travel time requirement;
step 4.2: and selecting train stations where the trains with the time intervals smaller than or equal to the travel time requirements are located, and marking the train stations as train stations meeting the travel time requirements.
Preferably, the step 5: obtaining airport population coverage according to the train station meeting travel time requirements, comprising:
step 5.1: acquiring a route coverage area of each train station meeting travel time requirements, which is reached in a preset time by adopting a preset transportation mode;
step 5.2: and merging all the route coverage areas to obtain airport population coverage.
Preferably, in said step 5: after obtaining airport population coverage according to the train station meeting travel time requirements, the method further comprises the following steps:
population density data is used to calculate population numbers within the airport population coverage.
The invention also provides an airport population coverage calculating device, which comprises:
the airport geographic position acquisition module is used for acquiring airport geographic position information;
the train station acquisition module is used for acquiring all train stations accessing the airport according to the airport geographical position information;
the operation schedule acquisition module is used for acquiring train operation schedule data of all train stations;
the preprocessing module is used for preprocessing the train operation schedule data to obtain train stations meeting travel time requirements;
and the airport population coverage calculation module is used for obtaining airport population coverage according to the train stations meeting travel time requirements.
Preferably, the preprocessing module includes:
the judging unit is used for judging whether the time interval of each train reaching the airport in the train operation schedule data is smaller than or equal to the travel time requirement;
and the selecting unit is used for selecting train stations where all trains with the time intervals smaller than or equal to the travel time requirements are located and recording the train stations as train stations meeting the travel time requirements.
Preferably, the airport population coverage calculation module includes:
the route coverage area acquisition unit is used for acquiring route coverage areas of train stations which reach each train station meeting travel time requirements in preset time by adopting a preset transportation mode;
and the merging unit is used for merging all the route coverage areas to obtain airport population coverage.
Preferably, the method further comprises:
and the population quantity calculation module is used for calculating the population quantity in the airport population coverage range by using population density data.
The invention also provides an electronic device comprising a bus, a transceiver (display unit/output unit, input unit), a memory, a processor and a computer program stored on the memory and executable on the processor, the transceiver, the memory and the processor being connected by the bus, the computer program when executed by the processor implementing the steps in an airport population coverage calculation method according to any of the above.
The invention also provides a computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of a method of airport population coverage calculation according to any of the preceding claims.
The airport population coverage calculating method, the airport population coverage calculating device, the electronic equipment and the computer readable storage medium have the beneficial effects that: compared with the prior art, the airport population coverage calculating method comprises the following steps: acquiring airport geographic position information; obtaining all train stations accessed to the airport according to the airport geographic position information; acquiring train operation schedule data of all train stations; preprocessing train operation schedule data to obtain train stations meeting travel time requirements; and obtaining airport population coverage according to the train stations meeting travel time requirements. According to the train station meeting the travel time requirement is obtained by preprocessing the train operation schedule data, and the airport population coverage is obtained according to the train station, so that the aggregation of railway transportation data of each level in the air-iron intermodal transportation system is realized, the airport space layout is optimized, and the more effective air-iron integrated comprehensive transportation hub is constructed conveniently.
In order to make the above objects, features and advantages of the present invention more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 shows a flow chart of a method for airport population coverage calculation provided by an embodiment of the invention;
FIG. 2 illustrates a schematic diagram of computer airport population coverage provided by an embodiment of the present invention;
FIG. 3 is a schematic diagram of a system for analyzing air-to-iron intermodal airport population coverage according to one embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device for performing an airport population coverage calculation method according to an embodiment of the present invention.
Detailed Description
In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", etc. indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present invention.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. In the description of the present invention, the meaning of "a plurality" is two or more, unless explicitly defined otherwise.
In the present invention, unless explicitly specified and limited otherwise, the terms "mounted," "connected," "secured," and the like are to be construed broadly and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention can be understood by those of ordinary skill in the art according to the specific circumstances.
In order to solve the problem of low accuracy of the existing airport population coverage calculation method, an embodiment of the invention aims to provide an airport population coverage calculation method, an airport population coverage calculation device, electronic equipment and a computer readable storage medium.
Referring to fig. 1, a method for calculating airport population coverage includes:
s1: acquiring airport geographic position information;
in the invention, the geographic position information of the airport can be converted into longitude and latitude coordinates corresponding to the airport by utilizing the existing server for calculating the longitude and latitude information. The airport in the invention can be an air-iron intermodal airport or a common civil airport.
S2: and obtaining all train stations accessing the airport according to the airport geographical position information. Wherein the train station includes a train station name and its corresponding geographic location data.
In the embodiment of the invention, the railway station name and the geographic position data of the airport which is introduced with the high-speed rail (inter-city) railway are obtained. If multiple railway stations are accessed at the same airport, all station names and corresponding geographic position data are obtained. All train stations accessing an airport may be referred to herein as airport stations.
S3: train operation schedule data of all train stations are acquired.
S4: and preprocessing train operation schedule data to obtain train stations meeting travel time requirements.
Further, S4 specifically includes:
s4.1: and judging whether the time interval of each train in the train operation schedule data reaching the airport is smaller than or equal to the travel time requirement.
S4.2: and selecting train stations where the trains with the time intervals smaller than or equal to the travel time requirements are located, and marking the train stations as train stations meeting the travel time requirements.
S5: and obtaining airport population coverage according to the train stations meeting travel time requirements.
In the present invention, S5 specifically includes:
s5.1: and acquiring a route coverage area of each train station meeting travel time requirements, which is reached in a preset time by adopting a preset transportation mode.
S5.2: combining all route coverage areas results in airport population coverage.
Preferably, after S5, the method further includes:
population density data is used to calculate population numbers within airport population coverage.
In practical application, a train operation schedule database is firstly required to be established, and then train operation schedule data is acquired from the database, and the specific flow is as follows:
s100: the current train operation schedule data is obtained, and the train number and schedule passing through the station can be obtained by using a railway operation information website server, but not limited to. If the train operation schedule is collected in daily units, the train operation schedule needs to be collected for a plurality of continuous days due to different train operation schedules, so that complete train number operation data is obtained. The data entry includes: train number, station order, station name, arrival time, residence time, and departure time.
S200: and (3) presetting railway travel time requirements according to the train operation schedule obtained in the step (S100), and calculating to obtain a train station list meeting the travel time requirements. Considering all train stations and train numbers reaching the airport station, if the time for a certain train station to reach the airport station is not more than the travel time requirement (including the direct stay time of the train at two stations), the passenger is considered to reach the airport station from the train station to meet the travel time requirement.
S300: a train operation schedule database (as shown in table 1) is established. The data entry includes: travel time requirements, airport names, airport geographical coordinates, train station names, and train station geographical coordinates.
TABLE 1
The flow of computer field population coverage in the present invention is further described in connection with specific embodiments as follows:
s201: and inquiring a train schedule database aiming at an airport to obtain the geographic position information of the related railway station. And inquiring to obtain geographic coordinates of the railway station meeting the railway travel time requirements by utilizing the database established in the step S300.
S202: under a certain travel time requirement, a certain transportation mode is selected, and for a certain railway station geographic coordinate, a time circle server such as a map can be used, but not limited to, so that a geographic area which can reach the railway station under the selected travel time requirement through the selected transportation mode is obtained, as shown in fig. 2.
S203: and merging the geographical areas covered by all railway stations in the step S202, namely the population coverage areas of the air-to-iron intermodal airports.
Finally, population density data is utilized, and the population density of the corresponding administrative region can be calculated by using national population statistics annual-image data, and the population number in the service area can be calculated, so that the population number covered by the airport can be obtained.
The invention also provides a system for analyzing the population coverage of the air-iron intermodal airport, which is structurally shown in fig. 3 and comprises:
the first data acquisition unit is used for acquiring geographical position information of airports, names of railway stations of all airports and geographical position data.
And the second data acquisition unit is used for acquiring the operation schedule data of each railway train.
The first calculating unit is used for calculating train station names and population coverage ranges meeting requirements under the preset travel time limit.
And the second calculation unit is used for merging the population coverage ranges of all railway station sub-population, calculating and outputting the population numbers in the merged geographic area.
The invention discloses a method for calculating airport population coverage, which is based on mass data of high-speed railways, inter-city railways and urban (suburban) railways, and adopts statistical analysis as a means to realize the aggregation of railway transportation data of all levels in an air-iron intermodal transportation system, thereby being beneficial to constructing more effective air-iron integrated comprehensive transportation hubs and further improving the service level of the air-iron integrated comprehensive transportation hubs.
The above describes in detail the flow of a method for configuring a page, which may also be implemented by a corresponding device, the structure and function of which are described in detail below.
The invention also provides an airport population coverage calculating device, which comprises:
and the airport geographic position acquisition module is used for acquiring airport geographic position information.
And the train station acquisition module is used for acquiring all train stations accessed to the airport according to the airport geographical position information.
And the operation schedule acquisition module is used for acquiring train operation schedule data of all train stations.
And the preprocessing module is used for preprocessing train operation schedule data to obtain train stations meeting travel time requirements.
And the airport population coverage calculation module is used for obtaining airport population coverage according to train stations meeting travel time requirements.
Preferably, the preprocessing module includes:
and the judging unit is used for judging whether the time interval of each train in the train operation schedule data reaching the airport is smaller than or equal to the travel time requirement.
And the selecting unit is used for selecting train stations where all trains with the time intervals smaller than or equal to the travel time requirements are located and recording the train stations as train stations meeting the travel time requirements.
Preferably, the airport population coverage calculation module comprises:
the route coverage area acquisition unit is used for acquiring route coverage areas of train stations which reach each train station meeting travel time requirements in a preset time by adopting a preset transportation mode.
And the merging unit is used for merging all the route coverage areas to obtain airport population coverage.
Preferably, the method further comprises:
and the population quantity calculation module is used for calculating population quantity in airport population coverage range by using population density data.
In addition, the embodiment of the invention also provides an electronic device, which comprises a bus, a transceiver, a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the transceiver, the memory and the processor are respectively connected through the bus, and when the computer program is executed by the processor, the processes of the embodiment of the airport population coverage calculation method can be realized, and the same technical effect can be achieved, so that repetition is avoided and redundant description is omitted.
In particular, referring to FIG. 4, an embodiment of the invention also provides an electronic device comprising a bus 1110, a processor 1120, a transceiver 1130, a bus interface 1140, a memory 1150, and a user interface 1160.
In an embodiment of the present invention, the electronic device further includes: computer programs stored on the memory 1150 and executable on the processor 1120, which when executed by the processor 1120, implement the processes of one of the airport population coverage calculation method embodiments described above.
A transceiver 1130 for receiving and transmitting data under the control of the processor 1120.
In an embodiment of the invention, represented by bus 1110, bus 1110 may include any number of interconnected buses and bridges, with bus 1110 connecting various circuits, including one or more processors, represented by processor 1120, and memory, represented by memory 1150.
Bus 1110 represents one or more of any of several types of bus structures, including a memory bus and a memory controller, a peripheral bus, an accelerated graphics port (Accelerate Graphical Port, AGP), a processor, or a local bus using any of a variety of bus architectures. By way of example, and not limitation, such an architecture includes: industry standard architecture (Industry Standard Architecture, ISA) bus, micro channel architecture (Micro Channel Architecture, MCA) bus, enhanced ISA (EISA) bus, video electronics standards association (Video Electronics Standards Association, VESA) bus, peripheral component interconnect (Peripheral Component Interconnect, PCI) bus.
Processor 1120 may be an integrated circuit chip with signal processing capabilities. In implementation, the steps of the above method embodiments may be implemented by instructions in the form of integrated logic circuits in hardware or software in a processor. The processor includes: general purpose processors, central processing units (Central Processing Unit, CPU), network processors (Network Processor, NP), digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field programmable gate arrays (FieldProgrammable Gate Array, FPGA), complex programmable logic devices (Complex Programmable LogicDevice, CPLD), programmable logic arrays (Programmable Logic Array, PLA), micro control units (Microcontroller Unit, MCU) or other programmable logic devices, discrete gates, transistor logic devices, discrete hardware components. The methods, steps and logic blocks disclosed in the embodiments of the present invention may be implemented or performed. For example, the processor may be a single-core processor or a multi-core processor, and the processor may be integrated on a single chip or located on multiple different chips.
The processor 1120 may be a microprocessor or any conventional processor. The steps of the method disclosed in connection with the embodiments of the present invention may be performed directly by a hardware decoding processor, or by a combination of hardware and software modules in the decoding processor. The software modules may be located in a readable storage medium known in the art such as random access Memory (Random Access Memory, RAM), flash Memory (flash Memory), read-Only Memory (ROM), programmable ROM (PROM), erasable Programmable ROM (EPROM), registers, and so forth. The readable storage medium is located in a memory, and the processor reads the information in the memory and, in combination with its hardware, performs the steps of the above method.
Bus 1110 may also connect together various other circuits such as peripheral devices, voltage regulators, or power management circuits, bus interface 1140 providing an interface between bus 1110 and transceiver 1130, all of which are well known in the art. Accordingly, the embodiments of the present invention will not be further described.
The transceiver 1130 may be one element or a plurality of elements, such as a plurality of receivers and transmitters, providing a means for communicating with various other apparatus over a transmission medium. For example: the transceiver 1130 receives external data from other devices, and the transceiver 1130 is configured to transmit the data processed by the processor 1120 to the other devices. Depending on the nature of the computer system, a user interface 1160 may also be provided, for example: touch screen, physical keyboard, display, mouse, speaker, microphone, trackball, joystick, stylus.
It should be appreciated that in embodiments of the present invention, the memory 1150 may further comprise memory located remotely from the processor 1120, such remotely located memory being connectable to a server through a network. One or more portions of the above-described networks may be an ad hoc network (ad hoc network), an intranet, an extranet (extranet), a Virtual Private Network (VPN), a Local Area Network (LAN), a Wireless Local Area Network (WLAN), a Wide Area Network (WAN), a Wireless Wide Area Network (WWAN), a Metropolitan Area Network (MAN), the Internet (Internet), a Public Switched Telephone Network (PSTN), a plain old telephone service network (POTS), a cellular telephone network, a wireless fidelity (Wi-Fi) network, and a combination of two or more of the above-described networks. For example, the cellular telephone network and wireless network may be a global system for mobile communications (GSM) system, a Code Division Multiple Access (CDMA) system, a Worldwide Interoperability for Microwave Access (WiMAX) system, a General Packet Radio Service (GPRS) system, a Wideband Code Division Multiple Access (WCDMA) system, a Long Term Evolution (LTE) system, an LTE Frequency Division Duplex (FDD) system, an LTE Time Division Duplex (TDD) system, a long term evolution-advanced (LTE-a) system, a Universal Mobile Telecommunications (UMTS) system, an enhanced mobile broadband (Enhance Mobile Broadband, embbb) system, a mass machine type communication (massive Machine Type of Communication, mctc) system, an ultra reliable low latency communication (UltraReliable Low Latency Communications, uirllc) system, and the like.
It should be appreciated that the memory 1150 in embodiments of the present invention may be either volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. Wherein the nonvolatile memory includes: read-Only Memory (ROM), programmable ROM (PROM), erasable Programmable EPROM (EPROM), electrically Erasable EPROM (EEPROM), or Flash Memory (Flash Memory).
The volatile memory includes: random access memory (Random Access Memory, RAM) which acts as an external cache. By way of example, and not limitation, many forms of RAM are available, such as: static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data rate SDRAM (Double Data RateSDRAM, DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous DRAM (SLDRAM), and direct memory bus RAM (DRRAM). The memory 1150 of the electronic device described in embodiments of the present invention includes, but is not limited to, the above and any other suitable types of memory.
In an embodiment of the invention, memory 1150 stores the following elements of operating system 1151 and application programs 1152: an executable module, a data structure, or a subset thereof, or an extended set thereof.
Specifically, the operating system 1151 includes various system programs, such as: a framework layer, a core library layer, a driving layer and the like, which are used for realizing various basic services and processing tasks based on hardware. The applications 1152 include various applications such as: a Media Player (Media Player), a Browser (Browser) for implementing various application services. A program for implementing the method of the embodiment of the present invention may be included in the application 1152. The application 1152 includes: applets, objects, components, logic, data structures, and other computer system executable instructions that perform particular tasks or implement particular abstract data types.
In addition, the embodiment of the present invention further provides a computer readable storage medium, on which a computer program is stored, where the computer program when executed by a processor implements each process of the above-mentioned embodiment of the airport population coverage calculating method, and the same technical effects can be achieved, so that repetition is avoided, and no redundant description is provided herein.
The computer-readable storage medium includes: persistent and non-persistent, removable and non-removable media are tangible devices that may retain and store instructions for use by an instruction execution device. The computer-readable storage medium includes: electronic storage, magnetic storage, optical storage, electromagnetic storage, semiconductor storage, and any suitable combination of the foregoing. The computer-readable storage medium includes: phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), non-volatile random access memory (NVRAM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disk read only memory (CD-ROM), digital Versatile Disks (DVD) or other optical storage, magnetic cassette storage, magnetic tape disk storage or other magnetic storage devices, memory sticks, mechanical coding (e.g., punch cards or bump structures in grooves with instructions recorded thereon), or any other non-transmission medium that may be used to store information that may be accessed by a computing device. In accordance with the definition in the present embodiments, the computer-readable storage medium does not include a transitory signal itself, such as a radio wave or other freely propagating electromagnetic wave, an electromagnetic wave propagating through a waveguide or other transmission medium (e.g., a pulse of light passing through a fiber optic cable), or an electrical signal transmitted through a wire.
In several embodiments provided herein, it should be understood that the disclosed apparatus, electronic device, and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, e.g., the division of the modules or units is merely a logical functional division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. In addition, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices, or elements, or may be an electrical, mechanical, or other form of connection.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one position, or may be distributed over a plurality of network units. Some or all of the units can be selected according to actual needs to solve the problem to be solved by the scheme of the embodiment of the invention.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the embodiments of the present invention is essentially or partly contributing to the prior art, or all or part of the technical solution may be embodied in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (including: a personal computer, a server, a data center or other network device) to perform all or part of the steps of the method according to the embodiments of the present invention. And the storage medium includes various media as exemplified above that can store program codes.
The invention discloses an airport population coverage calculating method, an airport population coverage calculating device, electronic equipment and a computer readable storage medium. The airport population coverage calculating method comprises the following steps: acquiring airport geographic position information; obtaining all train stations accessed to the airport according to the airport geographic position information; acquiring train operation schedule data of all train stations; preprocessing train operation schedule data to obtain train stations meeting travel time requirements; and obtaining airport population coverage according to the train stations meeting travel time requirements. According to the train station meeting the travel time requirement is obtained by preprocessing the train operation schedule data, and the airport population coverage is obtained according to the train station, so that the aggregation of railway transportation data of each level in the air-iron intermodal transportation system is realized, the airport space layout is optimized, and the more effective air-iron integrated comprehensive transportation hub is constructed conveniently.
The foregoing is merely illustrative of the present invention, and the present invention is not limited thereto, and any person skilled in the art can easily think about variations or alternatives within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims (6)

1. A method for airport population coverage calculation comprising:
step 1: acquiring airport geographic position information;
step 2: obtaining all train stations accessing the airport according to the airport geographical position information;
step 3: acquiring train operation schedule data of all train stations;
step 4: preprocessing the train operation schedule data to obtain train stations meeting travel time requirements;
step 5: obtaining airport population coverage according to the train stations meeting travel time requirements;
wherein, the step 4: preprocessing the train operation schedule data to obtain train stations meeting travel time requirements, wherein the train stations comprise: step 4.1: judging whether the time interval of each train arriving at the airport in the train operation schedule data is less than or equal to the travel time requirement; step 4.2: selecting train stations where trains with all time intervals smaller than or equal to travel time requirements are located, and marking the train stations as train stations meeting the travel time requirements;
the step 5: obtaining airport population coverage according to the train station meeting travel time requirements, comprising: step 5.1: acquiring a route coverage area of each train station meeting travel time requirements, which is reached in a preset time by adopting a preset transportation mode; step 5.2: and merging all the route coverage areas to obtain airport population coverage.
2. The airport population coverage calculation method of claim 1, wherein in said step 5: after obtaining airport population coverage according to the train station meeting travel time requirements, the method further comprises the following steps:
population density data is used to calculate population numbers within the airport population coverage.
3. An airport population coverage computing device, comprising:
the airport geographic position acquisition module is used for acquiring airport geographic position information;
the train station acquisition module is used for acquiring all train stations accessing the airport according to the airport geographical position information;
the operation schedule acquisition module is used for acquiring train operation schedule data of all train stations;
the preprocessing module is used for preprocessing the train operation schedule data to obtain train stations meeting travel time requirements;
the airport population coverage calculation module is used for obtaining airport population coverage according to the train stations meeting travel time requirements;
wherein, the preprocessing module includes: the judging unit is used for judging whether the time interval of each train reaching the airport in the train operation schedule data is smaller than or equal to the travel time requirement; the selecting unit is used for selecting train stations where all trains with time intervals smaller than or equal to travel time requirements are located and marking the train stations as train stations meeting the travel time requirements;
the airport population coverage calculation module comprises: the route coverage area acquisition unit is used for acquiring route coverage areas of train stations which reach each train station meeting travel time requirements in preset time by adopting a preset transportation mode; and the merging unit is used for merging all the route coverage areas to obtain airport population coverage.
4. An airport population coverage computing device according to claim 3, further comprising:
and the population quantity calculation module is used for calculating the population quantity in the airport population coverage range by using population density data.
5. An electronic device comprising a bus, a transceiver (display unit/output unit, input unit), a memory, a processor and a computer program stored on the memory and executable on the processor, the transceiver, the memory and the processor being connected by the bus, characterized in that the computer program when executed by the processor implements the steps in an airport population coverage calculation method according to any one of claims 1 to 2.
6. A computer readable storage medium having stored thereon a computer program, which when executed by a processor performs the steps of a method of airport population coverage calculation according to any of claims 1 to 2.
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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2005202546A (en) * 2004-01-14 2005-07-28 Asahi Koyo Kk Population fluidity estimation method, device and program
CN108271115A (en) * 2016-12-30 2018-07-10 中国移动通信集团内蒙古有限公司 A kind of method of estimation and device of regional population's density
WO2019093617A1 (en) * 2017-11-08 2019-05-16 엘지전자 주식회사 Method, apparatus, and recording medium for controlling digital signage
CN110852479A (en) * 2019-10-12 2020-02-28 上海市政工程设计研究总院(集团)有限公司 Method for evaluating service radius of public service facility based on population coverage rate

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2005202546A (en) * 2004-01-14 2005-07-28 Asahi Koyo Kk Population fluidity estimation method, device and program
CN108271115A (en) * 2016-12-30 2018-07-10 中国移动通信集团内蒙古有限公司 A kind of method of estimation and device of regional population's density
WO2019093617A1 (en) * 2017-11-08 2019-05-16 엘지전자 주식회사 Method, apparatus, and recording medium for controlling digital signage
CN110852479A (en) * 2019-10-12 2020-02-28 上海市政工程设计研究总院(集团)有限公司 Method for evaluating service radius of public service facility based on population coverage rate

Non-Patent Citations (7)

* Cited by examiner, † Cited by third party
Title
Tsvirkun A.2018Eleventh International Conference:Management of large-scale system development.《Conference Paper》.2018,全文. *
吴威 ; 曹有挥 ; 梁双波 ; 张璐璐 ; 刘玮辰 ; .民用机场区域服务能力的结构与空间格局――以长江经济带民用机场体系为例.地理研究.2019,(第06期),全文. *
张蕾 ; .空港经济综合竞争力评估――以江苏省域机场为例.地域研究与开发.2014,(第06期),全文. *
毛保华 ; 高自友 ; .城市轨道交通网络运营资源共享方法与技术进展.交通运输系统工程与信息.2018,(第03期),全文. *
赵巍 ; .依托机场建设新一代城市综合交通枢纽.民航管理.2014,(第02期),全文. *
郑清菁 ; 戴特奇 ; 陶卓霖 ; 颜区鹏 ; .可达性测算中速度参数的敏感性研究――以闽赣两省机场人口覆盖为例.北京师范大学学报(自然科学版).2016,(第04期),全文. *
高克林 ; 孙常聪 ; .大型铁路枢纽空铁联运规划分析.交通与运输.2020,(第05期),全文. *

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