Assessing Railway Landscape by AHP Process with GIS: A Study of the Yunnan-Vietnam Railway

Sang, Kun; Fontana, Giovanni Luigi; Piovan, Silvia

doi:10.3390/rs14030603

Cited by 20 publications

(13 citation statements)

References 40 publications

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“…A study on the visual perception of space in mountain resorts found that spatial cleanliness played the most significant role in the perception of mountain environments (Shabani et al, 2020). Sang, Fontana and Piovan introduced historical, socio-cultural and ecological indicators in constructing a comprehensive evaluation system for railway heritage landscapes, which is important for improving the attractiveness of heritage sites and promoting tourism development (Sang et al, 2022). Besides, green spaces represent an essential aspect of spatial quality assessment (Wu et al, 2022).…”

Section: Discussionmentioning

confidence: 99%

Visual attention predictive model of built colonial heritage based on visual behaviour and subjective evaluation

Wu,

Li,

Xia

et al. 2023

Humanit Soc Sci Commun

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Although physiological measurements, subjective evaluation and other methods have been applied to visual attention research, architects still lack a systematic quantitative classification method when assessing the visual attention to built colonial heritage. This study aimed to investigate the relationship between people’s visual behaviour and subjective evaluation when observing built colonial heritage and to construct a prediction model based on eye-movement metrics and subjective evaluation indicators to distinguish the visual attention to built colonial heritage. This study recorded data from 54 participants while observing five scenes of built colonial heritage, and the results showed that participants had different visual behaviours and subjective evaluations when viewing built colonial heritage in different scenes. And visual attention to built colonial heritage was negatively correlated with the average saccades peak velocity and average saccades amplitude and positively correlated with the average pupil diameter; visual attention was correlated with 12 subjective evaluation indicators. The eye-movement metrics and subjective evaluation indicators with correlation to visual attention were used as input variables to construct a prediction model of visual attention to built colonial heritage based on the BP neural network. Different built colonial heritage’s low, middle and high visual attention were identified with high accuracy (74.46%). This quantitative method can help architects to measure the visual attention to built colonial heritage to develop conservation and renewal strategies.

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Section: Discussionmentioning

confidence: 99%

Visual attention predictive model of built colonial heritage based on visual behaviour and subjective evaluation

Wu,

Li,

Xia

et al. 2023

Humanit Soc Sci Commun

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show abstract

“…This is also the research that has been conducted more often. For example, taking the Yunnan-Vietnam railroad heritage as the research object, quantifying the landscape value of the Yunnan-Vietnam railroad area, establishing a comprehensive evaluation system of railroad heritage landscape and history, tourism, ecology, heritage, social culture and visual quality, and dividing the landscape of the Yunnan-Vietnam railroad area into five classes [10]. For example, the railroad industrial heritage along the Jinan section of the Jiaoji Railway is classified into material (building and structure) and non-material heritage (industrial culture and technology), and the overall value is evaluated according to its historical value, artistic value, technological value and economic value [11].…”

Section: Related Studiesmentioning

confidence: 99%

“…At the micro level, it is the research of railway stations. The protection and development of railway stations should be combined with traffic management and service [9], architectural heritage protection [13], dynamic evaluation of visual quality along railway lines [10], railway historical landscape and so on. For example, in the development of the Dire Dawa station as a railroad heritage tourism resource for future development, the tangible elements (railroad technology and scenes created by the introduction of the railroad) and intangible elements (stories, various types of historical and cultural landscapes) are qualitatively evaluated as important tourism resources to determine whether they have the potential to attract tourists [14].…”

Section: Related Studiesmentioning

confidence: 99%

Evaluation Analysis and Recommendations for the Development of the Menda Railway Site Based on TOPSIS Model

Cao

Zuo

2022

Sustainability

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In order to realize the goal of “building up mobile homestays among lucid waters and lush mountains”, the Mentougou District of Beijing wants to plan the surrounding area with the theme of “One Line and Four Mines” in the west of Beijing. In order to comply with the requirement of “one station, one scene”, 12 railway stations need to be planned and developed in different directions, So the station development needs to be evaluated and analyzed first. In this study, the entropy weight method and the TOPSIS (technique for order preference by similarity to an ideal solution) method are comprehensively used to establish indicators from five aspects: natural potential, mining heritage potential, social potential, traffic potential and tourism potential, and to evaluate the development decision of 12 railway stations of the Menda Railway. The tourism development direction and development importance of abandoned railway stations are decided from the horizontal and vertical dimensions, and the results of the TOPSIS model are expanded beyond the numerical value itself. On this basis, this study also combined with the existing situation of each site, and gave suggestions on the development planning of each site.

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“…Given numerous existing landscape metrics, it is also important to assess and select landscape metrics well suited for an area or an application purpose. Several methods have been developed for this, such as analytic hierarchy process (AHP) [11], fuzzy comprehensive evaluation (FCE) [12], and entropy weighting [13]. AHP is widely used for selecting the related landscape indicators and metrics.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Landscape Pattern Analyses Enhanced by an Integrated Index: A Study of the Changbai Mountain National Nature Reserve

Zhang

Wang

et al. 2023

Remote Sensing

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The analysis of spatiotemporal changes of landscape patterns is of great significance for forest protection. However, the selection of landscape metrics is often subjective, and existing composite landscape metrics rarely consider the effects of spatial correlation. A more objective approach to formulating composite landscape metrics involves proper weighting that incorporates spatial structure information into integrating individual conventional metrics selected for building a composite metric. This paper proposes an integrated spatial landscape index (ISLI) based on variogram modeling and entropy weighting. It was tested through a case study, which sought to analyze spatiotemporal changes in the landscape pattern in the Changbai Mountains over 30 years based on six global land-cover products with a fine classification system at 30 m resolution (GLC_FCS30). The test results confirm: (1) spatial structure information is useful for weighting conventional landscape pattern metrics when constructing ISLI as validated by correlation analysis between the incorporated conventional metrics and their variogram ranges. In terms of the range parameters of different land cover types, broadleaf forest and needleleaf forest have much larger range values than those of other land cover types; (2) DIVISION and PLAND, two of the conventional landscape metrics considered for constructing ISLI, were assigned the greatest weights in computing ISLI for this study; and (3) ISLI values can be used to determine the dominant landscape types. For the study area, ISLI values of broadleaf forests remained the largest until 2020, indicating that forest landscape characteristics were the most prominent during that period. After 2020, the dominance of needleleaf forest gradually increased, with its ISLI value reaching a maximum of 0.91 in 2025. Therefore, the proposed ISLI not only functions as an extension and complement to conventional landscape metrics but also provides more comprehensive information concerning landscape pattern dynamics.

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Assessing Railway Landscape by AHP Process with GIS: A Study of the Yunnan-Vietnam Railway

Cited by 20 publications

References 40 publications

Visual attention predictive model of built colonial heritage based on visual behaviour and subjective evaluation

Visual attention predictive model of built colonial heritage based on visual behaviour and subjective evaluation

Evaluation Analysis and Recommendations for the Development of the Menda Railway Site Based on TOPSIS Model

Spatiotemporal Landscape Pattern Analyses Enhanced by an Integrated Index: A Study of the Changbai Mountain National Nature Reserve

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