scholarly journals Cellular Automata Based Land-Use Change Simulation Considering Spatio-Temporal Influence Heterogeneity of Light Rail Transit Construction: A Case in Nanjing, China

2021 ◽  
Vol 10 (5) ◽  
pp. 308
Author(s):  
Jiaming Na ◽  
Jie Zhu ◽  
Jiazhu Zheng ◽  
Shaoning Di ◽  
Hu Ding ◽  
...  

Light rail transit (LRT), an essential urban public transport system in China, significantly reshaped the urban land-use (LU) pattern. Although the LRT impact and land-use change (LUC) analysis plays an essential role in urban planning policy, the spatiotemporal heterogeneity of LRT impacts have not been considered in LUC simulation studies. This study simulates the urban LU change, considering the spatiotemporal heterogeneity of LRT construction impacts on urban LUC. LUC from 1995 to 2005 in Nanjing, China, is chosen as a case study. At first, the distance decay function is employed to verify the quantitative impact of LRT construction on LU change. Accordingly, the variation trends of each LU type during different stages are described in time and space. A cellular automata model incorporated by the generated LRT impact is established and then implemented for simulation. According to model performance assessment results, the proposed model can produce a realistic urban pattern with Freedom of Movement (FoM) exceeding 24% and a significantly lower relative error than the CA simulation without considering LRT influence.

2020 ◽  
Vol 22 (1) ◽  
pp. 124-129
Author(s):  
Isro Saputra ◽  
F A Nabila

Light rail transit (LRT) is an effective transportation in serving the needs of movement in urban area that can increase commercial land uses. The first construction of LRT in Palembang started in 2015 which became one of the national priority projects in Indonesia. The development had an impact on land use change around the LRT corridor. This paper attempts to identify land use change due to LRT development in Palembang. This study used an explorative approach to develop an understanding of land use change due to the development of LRT and Markov-cellular automata model to predict the change. The results of this study indicated that the prediction of land use change in 2025 around the LRT corridor tends to shift more into commercial land use, this will increase investment from commercial activities in the Palembang LRT Corridor.


2021 ◽  
Vol 10 (8) ◽  
pp. 503
Author(s):  
Hang Liu ◽  
Riken Homma ◽  
Qiang Liu ◽  
Congying Fang

The simulation of future land use can provide decision support for urban planners and decision makers, which is important for sustainable urban development. Using a cellular automata-random forest model, we considered two scenarios to predict intra-land use changes in Kumamoto City from 2018 to 2030: an unconstrained development scenario, and a planning-constrained development scenario that considers disaster-related factors. The random forest was used to calculate the transition probabilities and the importance of driving factors, and cellular automata were used for future land use prediction. The results show that disaster-related factors greatly influence land vacancy, while urban planning factors are more important for medium high-rise residential, commercial, and public facilities. Under the unconstrained development scenario, urban land use tends towards spatially disordered growth in the total amount of steady growth, with the largest increase in low-rise residential areas. Under the planning-constrained development scenario that considers disaster-related factors, the urban land area will continue to grow, albeit slowly and with a compact growth trend. This study provides planners with information on the relevant trends in different scenarios of land use change in Kumamoto City. Furthermore, it provides a reference for Kumamoto City’s future post-disaster recovery and reconstruction planning.


2015 ◽  
Vol 47 ◽  
pp. 398
Author(s):  
Xiaohui Tang ◽  
Abiodun Oluyomi ◽  
Casey Durand ◽  
Gregory Knell ◽  
Kelley Pettee Gabriel ◽  
...  

2021 ◽  
Author(s):  
Davin McCully

In Europe and in North America, Light Rail Transit (LRT) is increasingly being seen as a viable and attractive transportation option which is not as cost prohibitive as heavy rail, yet carries more passengers and travels at higher speeds than traditional bus transit. Brownfield regeneration is at the forefront of urban land use policy, as cities try to reign in sprawl and address local economic, social, and environmental implications of such underused or abandoned sites. This paper will examine the relationship between the implementation of LRT in urban environments, and how that investment in transportation infrastructure affects the regeneration of urban brownfield sites. This will be achieved through the use of three urban case studies, each with subpopulations between 100,000 – 500,000. Key Words: Light Rail Transit, Brownfield, Transportation, Sustainability, Urban Mobility, Urban Financing, Municipal Plans and Policies.


2021 ◽  
Author(s):  
Trevor McPherson

Edmonton is currently implementing a plan to significantly expand its light rail transit network. Transit expansion is part of a larger plan to encourage transit-oriented development (TOD) around new and existing transit stations and precipitate a shift towards more dense, efficient land use. Transit technology and routes were then selected, in part, based on their perceived ability to facilitate TOD, and the City has also created the TOD Guidelines and created the TOD Manager position to advance their land use goals. This research includes interviews with 6 developers who are currently undertaking large TOD projects to understand their perceptions of TOD as an investment in the Edmonton, and how effectively municipal decisions have facilitated TOD. The TOD Manager was interviewed, as he plays a critical role in facilitating TOD in Edmonton, as was a planner from the City of Edmonton to provide insight into TOD from a planning perspective and the development approvals process. Key words: urban planning, transit-oriented development (TOD), light rail transit (LRT), Edmonton


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