Human Personality Based Investigation on Distance Threshold for Freeway Landscape Pattern

2018 ◽  
Vol 2672 (39) ◽  
pp. 52-60
Author(s):  
Zhonghua Wei ◽  
Sheng Liu ◽  
Shi Qiu ◽  
Tongyang Zhang ◽  
Shaofan Wang
Keyword(s):  
Spatial Patterns ◽  
Landscape Pattern ◽  
Behavior Pattern ◽  
Mental Workload ◽  
Landscape Design ◽  
Driving Performance ◽  
Landscape Patterns ◽  
Physiological Data ◽  
Distance Threshold ◽  
The Impact

Freeway landscape design is closely related to driver performance. How to stimulate drivers’ positive physiological condition and improve overall driving performance by adopting ideal landscape design has become a research interest in recent years. This study explores the impact of changing the landscape pattern at appropriate intervals on driver fatigue and negative mental workload. Drivers’ mental performance was evaluated under three types of spatial patterns: open, semi-open, and vertical. Thirty drivers, 15 Type A Behavior Pattern (TABP) and 15 Type B Behavior Pattern (TBBP) drivers, respectively, were recruited to conduct the driving simulator experiment. Data on drivers’ physiological variation trends show that the mental workload of TABP and TBBP drivers varied under different spatial patterns. The principal factor high frequency (HF) was used to investigate the distance threshold for different freeway landscape patterns based on the analysis of physiological data collected by electrocardiogram (ECG). This study reveals that changing landscape pattern at a certain interval can benefit drivers’ physical and mental status. It is suggested that, when the design speed is 100 km/h, changing landscape pattern every 11 km can reduce fatigue and improve driving performance in both TABP and TBBP drivers. The conclusions of this study provide a rationale and guidance for agencies to adopt different spatial patterns in future freeway landscape design.

Wavelet Transform with Application in Roadside Landscape Design

2015 ◽  
Vol 744-746 ◽  
pp. 2032-2042 ◽  
Author(s):  
Tong Yang Zhang ◽  
Zhong Hua Wei ◽  
Li Wang ◽  
Xia Zhao ◽  
Ting Wang
Keyword(s):  
Heart Rate ◽  
Wavelet Transform ◽  
Mental Workload ◽  
Landscape Design ◽  
Landscape Patterns ◽  
Small Scale ◽  
Time Frequency ◽  
Rate Measure ◽  
Positive Effect

This paper aims to apply the wavelet transform to the study of driver’s heart rate in different roadside landscape patterns. In the methodology, we describe the procedure in detail that implementing wavelet transform to denoise heart rate signal. The result shows the algorithm presented with the best performance is suitable to process heart rate signal. In the case study, taking advantage of the superiority of wavelet transform in time-frequency domain, it is apparent that heart rate is in a state of fluctuation continuously. That confirms that sensitivity of heart rate measure the mental workload. We also observe that landscape transition enhance driver’s heart rate on a small scale, which makes a positive effect on driver and can be adopted as a countermeasure against the fatigue of driver in the further road landscape design.

scholarly journals A Preliminary Study on the Impact of Landscape Pattern Changes Due to Urbanization: Case Study of Jakarta, Indonesia

Land ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 218
Author(s):  
Dikman Maheng ◽  
Assela Pathirana ◽  
Chris Zevenbergen
Keyword(s):  
Ecosystem Services ◽  
Carbon Sequestration ◽  
Landscape Pattern ◽  
Temperature Regulation ◽  
Urban Areas ◽  
Landscape Patterns ◽  
Water Retention Capacity ◽  
Lulc Change ◽  
Preliminary Study ◽  
The Impact

Urbanization is changing land use–land cover (LULC) transforming green spaces (GS) and bodies of water into built-up areas. LULC change is affecting ecosystem services (ES) in urban areas, such as by decreasing of the water retention capacity, the urban temperature regulation capacity and the carbon sequestration. The relation between LULC change and ES is still poorly examined and quantified using actual field data. In most ES studies, GS is perceived as lumped areas instead of distributed areas, implicitly ignoring landscape patterns (LP), such as connectivity and aggregation. This preliminary study is one of the first to provide quantitative evidence of the influence of landscape pattern changes on a selection of urban ecosystem services in a megacity as Jakarta, Indonesia. The impact of urbanization on the spatiotemporal changes of ES has been identified by considering connectivity and aggregation of GS. It reveals that LP changes have significantly decreased carbon sequestration, temperature regulation, and runoff regulation by 10.4, 12.4, and 11.5%, respectively. This indicates that the impact of GS on ES is not only determined by its area, but also by its LP. Further detailed studies will be needed to validate these results.

scholarly journals Assessment and Estimation of the Spatial and Temporal Evolution of Landscape Patterns and Their Impact on Habitat Quality in Nanchang, China

Land ◽  
2021 ◽  
Vol 10 (10) ◽  
pp. 1073
Author(s):  
Yanan Li ◽  
Linghua Duo ◽  
Ming Zhang ◽  
Zhenhua Wu ◽  
Yanjun Guan
Keyword(s):  
Land Use ◽  
Habitat Quality ◽  
Landscape Pattern ◽  
Prediction Models ◽  
Landscape Patterns ◽  
Assessment Model ◽  
Planning System ◽  
Distribution Data ◽  
Ecological Planning ◽  
The Impact

Assessing and predicting the evolution of habitat quality based on land use change under the process of urbanization is important for establishing a comprehensive ecological planning system and addressing the major challenges of global sustainable development. Here, two different prediction models were used to simulate the land use changes in 2025 based on the land use distribution data of Nanchang city in three periods and integrated into the habitat quality assessment model to specifically evaluate the trends and characteristics of future habitat quality changes, explore the impact of landscape pattern evolution on habitat, and analyze the differences and advantages of the two prediction models. The results show that the overall habitat quality in Nanchang declined significantly during the period 1995–2015. Habitat degradation near cities and in various watersheds is relatively significant. During the period 2015–2025, the landscape pattern and habitat quality of Nanchang will continue to maintain the trend of changes observed between 1995 and 2015, i.e., increasing construction land and decreasing habitat quality, with high pressure on ecological restoration. This study also identified that CA-Markov simulates the quantity of land use better, while FLUS simulates the spatial pattern of land use better. Overall, this study provides a reference for exploring the complex dynamic evolution mechanism of habitats.

scholarly journals Geographic context affects the landscape change and fragmentation caused by wind energy facilities

PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e7129 ◽  
Author(s):  
Jay E. Diffendorfer ◽  
Monica A. Dorning ◽  
Jolene R. Keen ◽  
Louisa A. Kramer ◽  
Robert V. Taylor
Keyword(s):  
Wind Energy ◽  
Landscape Pattern ◽  
Landscape Change ◽  
Road Networks ◽  
Landscape Fragmentation ◽  
Landscape Patterns ◽  
Core Area ◽  
Area Index ◽  
Geographic Context ◽  
The Impact

Wind energy generation affects landscapes as new roads, pads, and transmission lines are constructed. Limiting the landscape change from these facilities likely minimizes impacts to biodiversity and sensitive wildlife species. We examined the effects of wind energy facilities’ geographic context on changes in landscape patterns using three metrics: portion of undeveloped land, core area index, and connectance index. We digitized 39 wind facilities and the surrounding land cover and measured landscape pattern before and after facility construction using the amount, core area, and connectivity of undeveloped land within one km around newly constructed turbines and roads. New facilities decreased the amount of undeveloped land by 1.8% while changes in metrics of landscape pattern ranged from 50 to 140%. Statistical models indicated pre-construction development was a key factor explaining the impact of new wind facilities on landscape metrics, with pre-construction road networks, turbine spacing, and topography having smaller influences. As the proportion of developed land around facilities increased, a higher proportion of the facility utilized pre-construction developed land and a lower density of new roads were built, resulting in smaller impacts to undeveloped landscapes. Building of new road networks was also a predictor of landscape fragmentation. Utilizing existing development and carefully placing turbines may provide opportunities to minimize the impacts of new wind energy facilities.

scholarly journals Identifying the Impact of Landscape Pattern on Ecosystem Services in the Middle Reaches of the Yangtze River Urban Agglomerations, China

2020 ◽  
Vol 17 (14) ◽  
pp. 5063
Author(s):  
Luwen Liu ◽  
Xingrong Chen ◽  
Wanxu Chen ◽  
Xinyue Ye
Keyword(s):  
Ecosystem Services ◽  
Landscape Pattern ◽  
Yangtze River ◽  
Landscape Planning ◽  
Landscape Patterns ◽  
Cultivated Land ◽  
Landscape Pattern Metrics ◽  
Urban Agglomerations ◽  
Pattern Metrics ◽  
The Impact

Clarifying the impact mechanisms of landscape patterns on ecosystem services is highly important for effective ecosystem protection, policymaking, and landscape planning. However, previous literature lacks knowledge about the impact mechanisms of landscape patterns on ecosystem services from a spatial perspective. Thus, this study measured landscape patterns and the ecosystem services value (ESV) using a series of landscape pattern metrics and an improved benefit transfer method based on land-use data from 2015. It explores the impact mechanisms of the landscape pattern metrics on the ESV using the ordinary least-squares method and spatial regression models in the middle reaches of the Yangtze River Urban Agglomerations (MRYRUA), China. We found that forestland was the main landscape type in the MRYRUA, followed by cultivated land, and the fragmentation degree of cultivated land was significantly higher than that of forestland. The findings demonstrate that landscape pattern metrics had a significant impact on ecosystem services, but could vary greatly. Moreover, ecosystem services in the MRYRUA exhibited significant spatial spillover effects and cross-regional collaborative governance was an effective means of landscape planning. This paper acts as a scientific reference and effective guidance for landscape planning and regional ecosystem conservation in MRYRUA and other similarly fast-growing urban agglomerations.

Research on behavior recognition based on feature fusion of automatic coder and recurrent neural network

2020 ◽  
Vol 39 (6) ◽  
pp. 8927-8935
Author(s):  
Bing Zheng ◽  
Dawei Yun ◽  
Yan Liang
Keyword(s):  
Neural Network ◽  
Recurrent Neural Network ◽  
Behavior Pattern ◽  
Rapid Development ◽  
Video Data ◽  
Support Vector ◽  
Behavior Recognition ◽  
Learning Methods ◽  
The Impact ◽  
Internet Of Things Technology

Under the impact of COVID-19, research on behavior recognition are highly needed. In this paper, we combine the algorithm of self-adaptive coder and recurrent neural network to realize the research of behavior pattern recognition. At present, most of the research of human behavior recognition is focused on the video data, which is based on the video number. At the same time, due to the complexity of video image data, it is easy to violate personal privacy. With the rapid development of Internet of things technology, it has attracted the attention of a large number of experts and scholars. Researchers have tried to use many machine learning methods, such as random forest, support vector machine and other shallow learning methods, which perform well in the laboratory environment, but there is still a long way to go from practical application. In this paper, a recursive neural network algorithm based on long and short term memory (LSTM) is proposed to realize the recognition of behavior patterns, so as to improve the accuracy of human activity behavior recognition.

Introducing Multimodal Sliding Index: Qualitative Feedback, Perceived Workload, and Driving Performance with an Auditory Enhanced Menu Navigation Method

2017 ◽  
Author(s):  
Ruta R. Sardesai ◽  
Thomas M. Gable ◽  
Bruce N. Walker
Keyword(s):  
Mobile Device ◽  
Mental Workload ◽  
Driving Performance ◽  
Audio Cues ◽  
Qualitative Feedback ◽  
Speed Up ◽  
Driving Task ◽  
Perceived Workload ◽  
New Type ◽  
Navigation Method

Using auditory menus on a mobile device has been studied in depth with standard flicking, as well as wheeling and tapping interactions. Here, we introduce and evaluate a new type of interaction with auditory menus, intended to speed up movement through a list. This multimodal “sliding index” was compared to use of the standard flicking interaction on a phone, while the user was also engaged in a driving task. The sliding index was found to require less mental workload than flicking. What’s more, the way participants used the sliding index technique modulated their preferences, including their reactions to the presence of audio cues. Follow-on work should study how sliding index use evolves with practice.

scholarly journals Testing the Effect of Hedge Height on Perceived Safety—A Landscape Design Intervention

2021 ◽  
Vol 13 (9) ◽  
pp. 5063
Author(s):  
Katinka H. Evensen ◽  
Helena Nordh ◽  
Ramzi Hassan ◽  
Aslak Fyhri
Keyword(s):  
Field Study ◽  
Field Experiments ◽  
Landscape Design ◽  
Urban Environments ◽  
Space Management ◽  
Perceived Safety ◽  
Urban Green Spaces ◽  
Outdoor Spaces ◽  
Surrounding Areas ◽  
The Impact

Access to safe, green urban environments is important for quality of life in cities. The objective of this study is to explore the impact of a safety-enhancing landscape design measure on visitors’ experiences in an urban park. Additionally, this paper combines the use of field and virtual reality (VR) experiments, contributing methodological insights into how to evaluate safety measures in green space management and research on perceived safety. In a field experiment (n = 266), we explored whether the height of a hedge along a pathway influenced perceived safety among users. The field study showed that cutting down the hedge improved the perceived prospect of the immediate surrounding areas for female users, which again made them feel safer in the park. We developed a VR experiment for an evening scenario in the same environment (n = 19) to supplement the field study and test the effect of the intervention further. The VR experiment also found a gender effect on perceived safety, with females reporting lower perceived safety, but no effect was shown for the height of the hedge. The results in this study show that environmental attributes such as perceived prospect and concealment should be considered in the design and management of urban green spaces. Additionally, this research demonstrates an approach to conducting field experiments to test the effects of actual design interventions and then further developing these experiments using VR technology. Further research on perceived safety in outdoor spaces is needed to make use of this combined method’s potential.

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