Multi-Airport System Development Model: Case Study of Airports in Indonesia

Adisasmita, Sakti Adji; Caroles, Lucky

doi:10.28991/cej-sp2021-07-013

Cited by 4 publications

(3 citation statements)

References 22 publications

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“…Based on the concept of shortest-path betweenness centrality measure [58], as well as hub and spoke networks [59,60] borrowed from the domain of complex analysis, a new traffic assignment model was developed [61]. This indicated that the demand for carpooling systems was expressed as a function of various socio-demographic, land use, and environmental factors [62].…”

Section: Demand-supply Modelmentioning

confidence: 99%

Demand Modeling for Taxi and Ride-hailing Transport Services (RTS)

Sugiyanto,

Yanto,

Wibowo

et al. 2023

Civ Eng J

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The rapid growth of Ride-hailing Transport Services (RTS) demand is found to have caused a fierce market share battle with conventional taxis in previous decades. In selecting a taxi or RTS, understanding the factors affecting passenger’s decisions is substantial for better development and more reliable transit service. The aims of this study to evaluate the demand for taxis and RTS in the Jakarta Greater Area, Indonesia, using the demand-supply and dynamic models. It has been conducted by using 519 respondents, with the model inputs consisting of waiting and travel time, trip costs, and the destination of the conventional passengers. Moreover, the choice between taxi and RTS was analyzed based on the stated preferences of respondents. The results showed that the waiting and travel time, as well as costs per trip of RTS, were 1.49 and 2.67 minutes lower and IDR10,902 cheaper than a taxi, respectively. The factors influencing the demand for these transport modes were also the number of trips per-day, mode share, the average vehicle occupancy, operating hours/day, passengers and driver waiting time, as well as travel period. In the dynamic model, the addition of variable service area, peak hour, and average vehicles speed was subsequently observed. Based on the results, the requests for these transport modes in the Greater Area of Jakarta were 64,494 and 55,811 vehicle units for the demand-supply and dynamic models, respectively. This proved that the dynamic model was better than the demand-supply, due to the added parameters representing the area’s traffic characteristics. Additionally, subsequent future research are expected to focus on modeling of taxi and RTS demands through the global positioning system data, as well as analysis using machine learning and deep learning. Doi: 10.28991/CEJ-2023-09-05-03 Full Text: PDF

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Section: Demand-supply Modelmentioning

confidence: 99%

Demand Modeling for Taxi and Ride-hailing Transport Services (RTS)

Sugiyanto,

Yanto,

Wibowo

et al. 2023

Civ Eng J

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“…Thus, unwanted things will not happen if the user is by existing procedures. Adisasmita & Hadipramana (2011) mentioned that transportation is an activity that has been needed by humans since ancient times until now to meet human needs. Transportation infrastructure such as planes, trains, buses, public transportation, and other vehicles are used to carry out various transportation operations.…”

Section: External Factorsmentioning

confidence: 99%

Investigating the Service Quality Improvement Strategy at PT. Kereta Api Indonesia (PERSERO) Divre I North Sumatera, Indonesia

Hamidah,

Nasution,

Iskandarini

2023

FINBE

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The public continues to place a high demand on the Indonesian train as a mode of transportation. However, the fact that there is a train does not guarantee dominance over other transportation such as planes, buses, and other modes of transportation. The rail transportation mode is lacking in making improvements through the provision of appropriate service quality that encourages the public to switch to using the train. This study aimed to identify the factors that comprise the strengths, weaknesses, opportunities, and threats as well as to design strategies to improve service quality at PT. Kereta Api Indonesia (Persero) Divre I North Sumatra. This study used a qualitative method with descriptive techniques, such as data reduction, data presentation, and the conclusion of SWOT analysis. Based on the results of this study, it can be concluded that the Internal Factors Matrix (IFAS) and External Factors Matrix (EFAS) have several strength factors, namely safety, variations in ticket prices, skills or abilities, and facilities. Meanwhile, the weakness factors are facilities and infrastructure, public services, service performance, and timeliness. Opportunity factors are consumer satisfaction, comfort, passenger capacity, and technology. Furthermore, threat factors for the company include competition among modes of transportation, more efficient price competitiveness, consumer confidence, and insurance. These findings show that the quality of service in the company PT. Kereta Api Indonesia (Persero) Divre I North Sumatra is in quadrant I with a very favorable strategic planning situation. This company also has opportunities and strengths that allow it to take advantage of existing opportunities. The strategy that must be applied in the current conditions is to promote an aggressive growth policy (Growth Oriented Strategy).

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“…The escalating competition amongst airport services within a given region is likely to exert influences across other areas. Concurrently, heightened competitiveness in airport services is concentrated in regions displaying augmented economic growth, particularly in sectors such as tourism [1] In the present era, the aviation industry has increasingly turned its attention towards sustainability [2] and the pursuit of carbon emission reduction, with the aim of realizing net-zero energy buildings to enhance quality of life [3]. However, the continuous rise in passenger numbers and accompanying baggage poses challenges in the design of sustainable airports.…”

Section: Introductionmentioning

confidence: 99%

Enhancing airport environmental sustainability through net zero energy building principles

Pandiangan,

Kurniawan,

Aurelia

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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Airports play a crucial role in Indonesia, an archipelagic country, by connecting various regions, especially those separated by vast oceans. The extensive scale of airport construction directly influences environmental conditions, making environmental preservation and sustainability essential considerations. Hence, implementing the net zero energy building principle in airports, particularly in Indonesia, becomes imperative to enhance environmental sustainability. This study focused on Yogyakarta International Airport (YIA), a facility that has achieved Greenship Gold certification, making it a suitable case for investigating the application of net zero energy building principles. Adapting the net zero building concept to complex airport structures presents challenges. Besides using rating tools, simulation modeling offers a performance-based approach to assess the application of net zero energy building principles effectively. We used quantitative method by utilizing software like EDGE to simulate net zero energy buildings and identify optimal performance strategies for YIA. The study’s outcomes comprised an analysis of the net zero energy building model, providing valuable insights for developing specific guidelines on net zero energy principles in airport terminal buildings. This research aimed to expand knowledge on net zero building performance at airports, contributing to the development of guidelines for net zero airport terminal criteria.

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Multi-Airport System Development Model: Case Study of Airports in Indonesia

Cited by 4 publications

References 22 publications

Demand Modeling for Taxi and Ride-hailing Transport Services (RTS)

Demand Modeling for Taxi and Ride-hailing Transport Services (RTS)

Investigating the Service Quality Improvement Strategy at PT. Kereta Api Indonesia (PERSERO) Divre I North Sumatera, Indonesia

Enhancing airport environmental sustainability through net zero energy building principles

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