Comprehensive environmental impact evaluation for concrete mixing station (CMS) based on improved Topsis method
Bibliographic Data
| ID | 21232271 |
|---|---|
| Authors | Song-Shun Lin (0000-0002-9120-2040, Shanghai Jiao Tong University), Shui‐Long Shen (0000-0002-5610-7988, Shanghai Jiao Tong University, corresponding author), Ning Zhang (0000-0002-6318-6303, Shantou University), Annan Zhou (0000-0001-5209-5169, RMIT University) |
| Year | 2021 |
| Volume | 69 |
| Pages | 102838 |
| Publication date | 2021-06-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Sustainable Cities and Society (JOURNAL) |
| Journal identifiers | ISSN: 2210-6707 • E-ISSN: 2210-6715 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.scs.2021.102838 |
| OpenAlex | W3138088200 |
| Language | EN |
| Citations received | 3 |
| References cited | 44 |
Business · Closeness · Data mining · Economics · Environmental economics · Ideal solution · Machine learning · Operations research · Performance indicator · Profitability index · Sustainability · TOPSIS · Asphalt Pavement Performance Evaluation · Computer Science · Engineering · Infrastructure Maintenance and Monitoring · Mathematics · Multi-Criteria Decision Making
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| Unique citing works | 3 |
|---|---|
| Citations per year | 0.6 |
| Citation span | 2021 - 2023 (3) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 3 |