Network assessment of Tier-II Indian cities’ airports in terms of type, accessibility, and connectivity

Bansal, Sunny; Sen, Joy

doi:10.1016/j.tranpol.2021.05.009

Cited by 6 publications

(1 citation statement)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The former is mainly measured by the benefit-cost ratio index [8], cost function [9], gravity model [10], graph theory [11], mixed nested logit model [12], and other models that can be used to analyse an airport's industrial radiation to the local area. The latter is mainly measured using descriptive statistical data and related indexes [13][14][15], the shortest path length model [16][17], social network analysis, accessibility evaluation methods [18], the potential energy model, and utility models [19]. These can be used to analyse spatiotemporal changes in regional accessibility and the equilibrium of economic patterns [20], reflecting the connectivity of airports in the global route network.…”

Section: Composition Of Aic Integrated Accessibilitymentioning

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

View full text Add to dashboard Cite

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.

show abstract

Section: Composition Of Aic Integrated Accessibilitymentioning

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

View full text Add to dashboard Cite

show abstract

Meeting economic and social viability goals in regional airline schemes through hub-and-spoke network connectivity

Sindhwani,

Jayaram,

Ivanov

2024

Ann Oper Res

View full text Add to dashboard Cite

We examine the viability of regional connectivity schemes by considering both social and economic objectives. In India the scheme is called UDAN (loosely translated affordable air travel) which is designed to include economically backward communities in India into the air travel grid. Using secondary data sources from the airline sector in India, and qualitative interviews of knowledgeable personnel in the airline industry, we demonstrate the importance of hub-and-spoke network design in comparison to point-to-point connectivity for regional connectivity networks. Specifically, we develop Viable Hub Location Problem for Regional Connectivity (VHLPRC) for resilience and sustainability through bilevel optimization with single leader and two independent followers. We test our proposed approach using datasets from USA and India. Our analyses suggest strategically choosing primary hubs and re-routing traffic through regional hubs for long-term commercial viability or survivability of regional connectivity schemes. The introduction of regional hubs had mixed effects. On the positive side, it improved reach, albeit at considerable (hidden) costs. On the negative side, several sub-programs had to be abandoned for a variety of reasons, including lack of demand traffic. The lessons learned from this study inform policy makers, academics, and practicing managers on how to remain viable and sustain operations in regional connectivity schemes. With the introduction of social variables, commercial viability has been shown to face specific real-life challenges. An attempt to help solve these problems is also presented in this paper through risk reduction, capacity augmentation, and by continuing fare subsidies.

show abstract

Intercity accessibility and equity: Empirical study of high speed rail and air travel network in China

Jiang

Cai

Xiao

2023

Case Studies on Transport Policy

View full text Add to dashboard Cite

Network assessment of Tier-II Indian cities’ airports in terms of type, accessibility, and connectivity

Cited by 6 publications

References 14 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

Meeting economic and social viability goals in regional airline schemes through hub-and-spoke network connectivity

Intercity accessibility and equity: Empirical study of high speed rail and air travel network in China

Contact Info

Product

Resources

About