Land Use Development and its Impact on Airport Access Road

Rahayu, Yoanita Eka; Ahyudanari, Ervina; Pratomoadmojo, Nursakti Adhi

doi:10.1016/j.sbspro.2016.06.039

Cited by 7 publications

(5 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In the next studies, Rahayu, Ahyudanari and Pratomoadmojo (2016) found that the development of land use around the airport can increase travel time on road access to the airport if there is no road improvement. While Smith (1978) stated that the development of alternative roads such as bypass and ring road could be a good measure to reduce traffic congestion in the city centre area.…”

Section: Development Of Road Infrastructuresmentioning

confidence: 92%

Investigating the Impact of Airport Relocation on the Transport Network in Special Region of Yogyakarta, Indonesia

Fitrada

2019

Journal of the Civil Engineering Forum

View full text Add to dashboard Cite

Adi Sutjipto International Airport is the airport currently operated in Special Region of Yogyakarta (SRY), located near the city centre area. SRY needs to construct a new airport due to the increase in air passengers. The proposed airport, named New Yogyakarta International Airport (NYIA) is located in the undeveloped area, away from the city centre. This study is aimed to investigate the impact of airport relocation to the road network and to assess several developments of transportation infrastructures to the new airport. The analysis was conducted by developing a transport network model using PTV Visum. The secondary data collected from the local government to develop the transport network model, including the development of origin-destination matrices and forecasting purpose. The scenarios of road infrastructures development and new rail service to the airport in 2025 are then modelled. The results showed that the road infrastructure developed can reduce the number of congested main roads from 9.47% into 5.94%. Rail service to the airport is effective to decrease the traffic congestion at two NYIA roads access and able to increase their average speed from 49.45 and 44.29 km/h into 66.45 and 62.66 km/h.

show abstract

Section: Development Of Road Infrastructuresmentioning

confidence: 92%

Investigating the Impact of Airport Relocation on the Transport Network in Special Region of Yogyakarta, Indonesia

Fitrada

2019

Journal of the Civil Engineering Forum

View full text Add to dashboard Cite

show abstract

“…As a rule, airport noise [50,55], environment pollution [42,58], and climate change [38] are regarded as the negative impact factors. However, the airport's negative impact may also result from changes in property use [33,59] and thus the property value level changes. Such changes may result in restrictions imposed on land development (e.g., schools or kindergartens cannot be built there).…”

Section: Literature Reviewmentioning

confidence: 99%

The Impact of Airport Proximity on Single-Family House Prices—Evidence from Poland

2020

View full text Add to dashboard Cite

Airports in Poland are obliged to observe the sustainable development principle and therefore to reduce their environmental impact by creating so-called limited use areas (LUA) related to aircraft-generated noise. The research authors analyzed airports’ impact on the prices of single-family homes located in the vicinity of airports. The LUA is therefore defined as the area designated to study the airport’s specific impact on the single-family housing market. This is a formal limit which determines the examination of price changes and the decision-making conditions of market participants. This methodical approach is justified because no excessive noise is expected outside the LUA. Therefore, two markets in the vicinity of airports were examined. One is in an LUA which is closer to the airport, and the other market is outside the LUA where external noise effects are not present. Thus, we consider that real estate located outside the LUA is not subject to a significant negative impact from the airport. The study covered the Gdańsk Lech Walesa Airport and the Warsaw Chopin Airport in Poland in adjacent areas with the research time horizon of 2013–2017. The study examined single-family house prices. We used a time series analysis, a classic multiple regression model, a spatial autoregressive model, and geographically weighted regression models in our research. Additionally, Geographical Information System (GIS) tools were used to visualize the results of our study. The research result was to demonstrate different impact levels of airports on the prices of single-family houses located in limited-use areas in Gdańsk and Warsaw. This research carries significant implications for the general public and airports’ economic decisions in resolving conflicts between the airport and residential property owners in airports’ vicinities.

show abstract

“…Surabaya fixed station (SUF) 1, 4, and 7 are in rural areas, SUF 2 and 3 are in proximity to industrial areas, and SUF 5 and 6 are in urban areas. The development and establishment of road networks has helped residents in the region to more easily travel from one portion to another [35]. The population in Surabaya has increased each year, and air pollution due to transportation and industrial activity, too, have increased.…”

Section: Study Areamentioning

confidence: 99%

Comparison of Spatial Modelling Approaches on PM10 and NO2 Concentration Variations: A Case Study in Surabaya City, Indonesia

Widya

Hsu

Lee

et al. 2020

IJERPH

View full text Add to dashboard Cite

Because of fast-paced industrialization, urbanization, and population growth in Indonesia, there are serious health issues in the country resulting from air pollution. This study uses geospatial modelling technologies, namely land-use regression (LUR), geographically weighted regression (GWR), and geographic and temporal weighted regression (GTWR) models, to assess variations in particulate matter (PM10) and nitrogen dioxide (NO2) concentrations in Surabaya City, Indonesia. This is the first study to implement spatiotemporal variability of air pollution concentrations in Surabaya City, Indonesia. To develop the prediction models, air pollution data collected from seven monitoring stations from 2010 to 2018 were used as dependent variables, while land-use/land cover allocations within a 250 m to 5000 m circular buffer range surrounding the monitoring stations were collected as independent variables. A supervised stepwise variable selection procedure was applied to identify the important predictor variables for developing the LUR, GWR, and GTWR models. The developed models of LUR, GWR, and GTWR accounted for 49%, 50%, and 51% of PM10 variations and 46%, 47%, and 48% of NO2 variations, respectively. The GTWR model performed better (R2 = 0.51 for PM10 and 0.48 for NO2) than the other two models (R2 = 0.49–0.50 for PM10 and 0.46–0.47 for NO2), LUR and GWR. In the PM10 model four predictor variables, public facility, industry and warehousing, paddy field, and normalized difference vegetation index (NDVI), were selected during the variable selection procedure. Meanwhile, paddy field, residential area, rainfall, and temperature played important roles in explaining NO2 variations. Because of biomass burning issues in South Asia, the paddy field, which has a positive correlation with PM10 and NO2, was selected as a predictor. By using long-term monitoring data to establish prediction models, this model may better depict PM10 and NO2 concentration variations within areas across Asia.

show abstract

Land Use Development and its Impact on Airport Access Road

Cited by 7 publications

References 7 publications

Investigating the Impact of Airport Relocation on the Transport Network in Special Region of Yogyakarta, Indonesia

Investigating the Impact of Airport Relocation on the Transport Network in Special Region of Yogyakarta, Indonesia

The Impact of Airport Proximity on Single-Family House Prices—Evidence from Poland

Comparison of Spatial Modelling Approaches on PM10 and NO2 Concentration Variations: A Case Study in Surabaya City, Indonesia

Contact Info

Product

Resources

About