scholarly journals Residents’ Spatial Perceptions of Urban Gardens Based on Soundscape and Landscape Differences

2020 ◽  
Vol 12 (17) ◽  
pp. 6809 ◽  
Author(s):  
Zheng Zhao ◽  
Yanbin Wang ◽  
Yilei Hou

In this study, four types of urban gardens, namely modern commercial, cultural heritage, historical preservation, and natural and ecological areas, were comprehensively described and analyzed based on soundscape and landscape differences, and a multinomial logit model was used to explore potential influencing factors shaping residents’ preferences regarding urban gardens. The results suggest that variations in soundscape are closely related to the characteristics of the garden areas and the timing of residents’ activities; the noise level measurements at different observation points varied considerably according to the time of day and displayed different trends. Residents strongly preferred natural sounds, and traffic noise was the most disliked category of sound. Further, a negative correlation was found between residents’ subjective perception of loudness and the favorability of the area, while a clear positive correlation existed between the degree of favorability and the degree of landscape-soundscape coordination. Regarding landscape differences, residents generally preferred urban gardens without artificial transformation and prioritized the maintenance of natural landscaping and the historical and cultural heritage of urban gardens. In particular, residents’ preferences reflected the trade-offs between natural and artificial forms of urban gardens. These results offer useful information for planners, developers, and governmental organizations related to urban gardens by providing data to design urban gardens with increased practical value and natural benefits.

2014 ◽  
Vol 23 (11) ◽  
pp. 2023-2039 ◽  
Author(s):  
Paat Rusmevichientong ◽  
David Shmoys ◽  
Chaoxu Tong ◽  
Huseyin Topaloglu

2021 ◽  
Vol 13 (2) ◽  
pp. 605
Author(s):  
Zahra Nourmohammadi ◽  
Tanapon Lilasathapornkit ◽  
Mudabber Ashfaq ◽  
Ziyuan Gu ◽  
Meead Saberi

Measuring urban environmental performance supports understanding and improving the livability and sustainability of a city. Creating a more livable and attractive environment facilitates a greater shift to active and greener transport modes. Two key aspects, among many others, that determine the environmental performance of an urban area are greenery and noise. This study aims to map street-level greenery and traffic noise using emerging data sources including crowd-sourced mobile phone-based data and street-level imagery data in Sydney, Australia. Results demonstrate the applicability of emerging data sources and the presented advanced techniques in capturing the seasonal variations in urban greenery and time-dependent nature of traffic noise. Results also confirm the presence of a negative correlation between urban greenery and traffic noise.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Lijun Chen ◽  
Fang-Fang Yan ◽  
Shuhan Fan ◽  
Yifan Wu ◽  
Jia Yang ◽  
...  

AbstractLight, one of the key environmental components for both life and work, played significant role in subjective feelings (e.g. affect and comfort), but the exact effects and mechanisms were still to be determined. The present study screened thirty healthy adults (13 females, 22.45 ± 3.26 years) and examined subjective affect and comfort under short-term white lights with different combination of correlated color temperature (CCT) and illuminance at different times of day (e.g. morning, afternoon, and evening). Our results showed a significant interaction between illuminance level and time-of-day on subjective comfort. Participants felt more comfortable under 50 lx and 100 lx instead of 500 lx in the evening, and more comfortable under 500 lx in the morning and afternoon. In addition, a positive correlation between illuminance and comfort in the morning and a negative correlation between them in the evening were found. No significant effect of CCT on any subjective feeling was revealed. Our results necessitate the consideration of time-of-day in understanding lighting effects and application of healthy lighting in daily life.


2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Lian Lian ◽  
Shuo Zhang ◽  
Zhong Wang ◽  
Kai Liu ◽  
Lihuan Cao

As the parcel delivery service is booming in China, the competition among express companies intensifies. This paper employed multinomial logit model (MNL) and latent class model (LCM) to investigate customers’ express service choice behavior, using data from a SP survey. The attributes and attribute levels that matter most to express customers are identified. Meanwhile, the customers are divided into two segments (penny pincher segment and high-end segment) characterized by their taste heterogeneity. The results indicate that the LCM performs statistically better than MNL in our sample. Therefore, more attention should be paid to the taste heterogeneity, especially for further academic and policy research in freight choice behavior.


Sign in / Sign up

Export Citation Format

Share Document