Determination of land side accessibility of Indian metro hub airports w.r.t. travel-time reliability

Jose, Amal; Ram, Sewa

doi:10.1080/17509653.2019.1582366

Cited by 4 publications

(4 citation statements)

References 7 publications

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“…Airport route network accessibility is the ease with which travellers/tourists and cargo/goods can reach destination airports from airports using the air transportation network. It evaluates the ease with which airports can be accessed by neighbouring areas, using airports as the target [23]. Airport route network accessibility is related to the size of landward and airward hinterland and involves the population size, industrial situation, economic development, and transportation accessibility of the service area, representing a combination of multiple indicators [9].…”

Section: A Integrated Accessibility Of Airport Route Networkmentioning

confidence: 99%

Airport–Industry–City Integrated Accessibility Using Big Data Case View from Beijing Capital International Airport

Danyang Shen, Ximeng Liu, Xiudi Li

2024

jes

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Big data technology can help collect, analyze, and process large-scale transportation, population, economic, and other relevant data, which has been proven to be more accurate in assessing the accessibility of different areas. An aerotropolis is composed of the airport as the core, airport-related industry as the link, and the airport-oriented city as the carrier, airport–industry–city (AIC) system. To better grasp the development quality of aerotropolises, an AIC integrated accessibility measurement model is constructed comprising the accessibility of airport route network, airport ground traffic, and airport information coverage. Using big data of traffic, network and information from 2001 to 2020, we apply the model to the Beijing Capital International Airport (PEK) aerotropolis. The results show that PEK’s AIC connectivity exceeded 1 for the first time in 2008, reaching 1.0890, which the range of the scale is [0, +∞]. It fluctuated significantly from 2017 to 2020, showing a double life-cycle S-curve. So, the PEK aerotropolis’ development can be divided into four stages: germination (before 2001), high-speed development (2002–2011), gradual formation (2012–2019), and “seeking change in the process of change” (after 2020). Our model offers a new tool for identifying the development stages of aerotropolises and for improving connectivity—namely, improving the accessibility of the airport node network, the layout of airside-preferring enterprises, and the network structure of new Internet-based airport cities. Obviously, the AIC integrated accessibility can indeed guide the scientific development of an aerotropolis.

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Section: A Integrated Accessibility Of Airport Route Networkmentioning

confidence: 99%

Airport–Industry–City Integrated Accessibility Using Big Data Case View from Beijing Capital International Airport

Danyang Shen, Ximeng Liu, Xiudi Li

2024

jes

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“…Three main issues exist in relation to distance in the studies on spatial accessibility: the first is deciding on the distance type to be used in the study; the second is evaluating the friction of distance; and the third is defining the catchment area tied to the distance thresholds. When addressing distance types, different methods—such as Euclidean distance (i.e., straight line) ( 31 ), Manhattan distance ( 5 ), Shimbel distance ( 32 ), travel distance ( 22 , 33 ), and travel time ( 4 , 11 , 13 , 23 , 24 , 26 – 29 , 34 – 36 ) have been utilized for measuring distance. Some studies have employed multiple methods ( 5 , 10 , 37 – 39 ).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Accessibility to airports has been studied in different cases such as the United Kingdom ( 34 ), United States ( 8 , 22 , 32 , 44 ), China ( 12 , 13 , 26 ), India ( 27 ), Italy ( 45 ), Finland ( 36 ), Ireland ( 25 ), Scandinavia ( 30 ), and Europe ( 28 ), and different scales have been used, such as regional, national, international, and global ( 24 ). The airports selected for analysis may vary from small rural or regional airports to international/hub airports.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Other important issues addressed in the literature are: “access” to the systems or accessibility using different modes of transportation—by car ( 8 , 11 , 22 – 25 ), by transit and car ( 12 , 16 , 17 , 26 – 28 ), by public transit ( 18 ), by cycling/walking ( 19 )—and changes in accessibility over time ( 10 , 11 , 17 , 18 , 25 , 29 , 30 ).…”

Section: Literature Reviewmentioning

confidence: 99%

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Evaluating Changes in Spatial Accessibility to Airports in Turkey between 2000 and 2018

Paköz

Sakarya

2021

Transportation Research Record: Journal of the Transportation R

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The present study aims to investigate the changes that occurred between 2000 and 2018 with regard to spatial accessibility to airports for each district in Turkey. Within this scope, first, the service coverage area of each airport within 1 to 2 h travel time by car for 2000, 2009, and 2018 using the available road networks for the given years is evaluated and each district that can reach at least one airport within 1 to 2 h by car determined. Secondly, the catchment areas of each airport are defined based on geographical distribution and the catchment populations of airports found. Thirdly, the regionalization coefficient for each airport in the given years is calculated to understand the availability of each airport by comparing the catchment area population with the number of domestic passengers. Finally, a gravity-based formula is employed to measure the spatial accessibility value of each district to the airports within the catchment area of 2 h travel time in the given years. The main findings from the study provide clues about the direction of future policies. The last airports to open have reduced the maximum distance covered, especially in eastern Turkey; consequently, airports’ catchment populations have shrunk. However, the regionalization coefficients of airports located in regional centers and hub cities have increased in consequence of the increase in the number of air passengers over the given period. In summary, travel time to main hubs and airports’ total catchment populations have had combined effects on the number of air passengers and spatial accessibility values of districts in Turkey.

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Accessibility analysis for Baghdad international airport

Sabit,

Asmael

2024

6th International Conference on Engineering Sciences – Ices2022

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Determination of land side accessibility of Indian metro hub airports w.r.t. travel-time reliability

Cited by 4 publications

References 7 publications

Airport–Industry–City Integrated Accessibility Using Big Data Case View from Beijing Capital International Airport

Airport–Industry–City Integrated Accessibility Using Big Data Case View from Beijing Capital International Airport

Evaluating Changes in Spatial Accessibility to Airports in Turkey between 2000 and 2018

Accessibility analysis for Baghdad international airport

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