Evaluation of perception and analysis of energy saving potential of nighttime illumination in different types of residential areas: A case study of Dalian, China
{"title":"Evaluation of perception and analysis of energy saving potential of nighttime illumination in different types of residential areas: A case study of Dalian, China","authors":"","doi":"10.1016/j.scs.2024.105753","DOIUrl":null,"url":null,"abstract":"<div><p>The safety, comfort, and sustainability of the nighttime lighting environment in residential areas become increasingly the focus of social concern. This study integrates remote sensing observations, ground measurements, perception evaluations, and grading maps to compare the data of different residential areas, achieving perceptual performance assessment and energy-saving optimization of the lighting environment. The main researches include (1) Comparison of the Feeling of Safety (FoS) and Perceived Lighting Quality (PLQ) in the nighttime light environments of Dalian's residential areas by contrasting characteristics between high and low illuminated neighborhoods, new and old neighborhoods, open and enclosed neighborhoods, and internal and peripheral roads, (2)Establishment of a lighting environment perceptual evaluation model, proposing illuminance ranges for overall residential areas (6.67–17.97 lx), peripheral roads (8.79–24.50 lx), and internal roads (6.45–16.21 lx), (3) Construction a ground horizontal illuminance inversion model for Dalian and generate FoS and PLQ perception grading maps, (4) Within the scope of the study, the residential areas with insufficient, moderate, and excessive lighting account for 24 %, 56 %, and 20 %, respectively. This study provides effective strategies for reducing energy consumption, ensuring nighttime safety, and enhancing the comfort of living and helps to timely identify potential risk points that do not meet the perceptual standards.</p></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":null,"pages":null},"PeriodicalIF":10.5000,"publicationDate":"2024-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sustainable Cities and Society","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S221067072400578X","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
The safety, comfort, and sustainability of the nighttime lighting environment in residential areas become increasingly the focus of social concern. This study integrates remote sensing observations, ground measurements, perception evaluations, and grading maps to compare the data of different residential areas, achieving perceptual performance assessment and energy-saving optimization of the lighting environment. The main researches include (1) Comparison of the Feeling of Safety (FoS) and Perceived Lighting Quality (PLQ) in the nighttime light environments of Dalian's residential areas by contrasting characteristics between high and low illuminated neighborhoods, new and old neighborhoods, open and enclosed neighborhoods, and internal and peripheral roads, (2)Establishment of a lighting environment perceptual evaluation model, proposing illuminance ranges for overall residential areas (6.67–17.97 lx), peripheral roads (8.79–24.50 lx), and internal roads (6.45–16.21 lx), (3) Construction a ground horizontal illuminance inversion model for Dalian and generate FoS and PLQ perception grading maps, (4) Within the scope of the study, the residential areas with insufficient, moderate, and excessive lighting account for 24 %, 56 %, and 20 %, respectively. This study provides effective strategies for reducing energy consumption, ensuring nighttime safety, and enhancing the comfort of living and helps to timely identify potential risk points that do not meet the perceptual standards.
期刊介绍:
Sustainable Cities and Society (SCS) is an international journal that focuses on fundamental and applied research to promote environmentally sustainable and socially resilient cities. The journal welcomes cross-cutting, multi-disciplinary research in various areas, including:
1. Smart cities and resilient environments;
2. Alternative/clean energy sources, energy distribution, distributed energy generation, and energy demand reduction/management;
3. Monitoring and improving air quality in built environment and cities (e.g., healthy built environment and air quality management);
4. Energy efficient, low/zero carbon, and green buildings/communities;
5. Climate change mitigation and adaptation in urban environments;
6. Green infrastructure and BMPs;
7. Environmental Footprint accounting and management;
8. Urban agriculture and forestry;
9. ICT, smart grid and intelligent infrastructure;
10. Urban design/planning, regulations, legislation, certification, economics, and policy;
11. Social aspects, impacts and resiliency of cities;
12. Behavior monitoring, analysis and change within urban communities;
13. Health monitoring and improvement;
14. Nexus issues related to sustainable cities and societies;
15. Smart city governance;
16. Decision Support Systems for trade-off and uncertainty analysis for improved management of cities and society;
17. Big data, machine learning, and artificial intelligence applications and case studies;
18. Critical infrastructure protection, including security, privacy, forensics, and reliability issues of cyber-physical systems.
19. Water footprint reduction and urban water distribution, harvesting, treatment, reuse and management;
20. Waste reduction and recycling;
21. Wastewater collection, treatment and recycling;
22. Smart, clean and healthy transportation systems and infrastructure;