| LDR | | 03484cmm u22004697i 4500 |
| 001 | | 000000327717 |
| 003 | | OCoLC |
| 005 | | 20240307140407 |
| 006 | | m d |
| 007 | | cr cnu---unuuu |
| 008 | | 230610t20232023dcuab o 100 0 eng d |
| 019 | |
▼a 1381200868 |
| 020 | |
▼a 9780309700726
▼q electronic book |
| 020 | |
▼a 0309700728
▼q electronic book |
| 035 | |
▼a 3622863
▼b (N$T) |
| 035 | |
▼a (OCoLC)1381710924
▼z (OCoLC)1381200868 |
| 040 | |
▼a EBLCP
▼b eng
▼e rda
▼c EBLCP
▼d N$T
▼d HTM
▼d YDX
▼d 248032 |
| 049 | |
▼a MAIN |
| 050 | 4 |
▼a HT166
▼b .N38 2023 |
| 082 | 04 |
▼a 307.1216
▼2 23/eng/20230718 |
| 110 | 2 |
▼a National Academies of Sciences, Engineering, and Medicine (U.S.).
▼b Board on Mathematical Sciences and Analytics,
▼e issuing body. |
| 245 | 10 |
▼a Enhancing urban sustainability infrastructure :
▼b mathematical approaches for optimizing investments : proceedings of a workshop /
▼c Linda Casola ; Board on Mathematical Sciences and Analytics ; Board on Infrastructure and the Constructed Environment ; Division on Engineering and Physical Sciences ; the National Academies, Sciences, Engineering, Medicine. |
| 264 | 1 |
▼a Washington, D.C. :
▼b National Academies Press,
▼c 2023. |
| 264 | 4 |
▼c 짤2023 |
| 300 | |
▼a 1 online resource :
▼b 1 color illustration, color maps |
| 336 | |
▼a text
▼b txt
▼2 rdacontent |
| 337 | |
▼a computer
▼b c
▼2 rdamedia |
| 338 | |
▼a online resource
▼b cr
▼2 rdacarrier |
| 500 | |
▼a Description based upon print version of record. |
| 520 | |
▼a "The National Academies Board on Mathematical Sciences and Analytics and Board on Infrastructure and the Constructed Environment convened a 3-day public workshop on July 13, 20, and 27, 2022, to explore state-of-the-art analytical tools that could advance urban sustainability through improved prioritization of public works projects. Invited speakers included people working in urban sustainability, city planning, local public and private infrastructure, asset management, and infrastructure investment; city officials and utility officials; and statisticians, data scientists, mathematicians, economists, computer scientists, and artificial intelligence/machine learning experts. Presentations and workshop discussions provided insights into new research areas that have the potential to advance urban sustainability in public works planning, as well as the barriers to their adoption. This publication summarizes the presentation and discussion of the workshop."--
▼c Publisher's website |
| 590 | |
▼a WorldCat record variable field(s) change: 050 |
| 650 | 0 |
▼a Sustainable urban development
▼v Congresses. |
| 650 | 0 |
▼a Sustainable development
▼v Congresses. |
| 650 | 0 |
▼a Sustainable engineering
▼v Congresses. |
| 650 | 0 |
▼a City planning
▼v Congresses. |
| 700 | 1 |
▼a Casola, Linda,
▼e reporter. |
| 710 | 2 |
▼a National Academies of Sciences, Engineering, and Medicine (U.S.).
▼b Board on Infrastructure and the Constructed Environment,
▼e issuing body. |
| 710 | 2 |
▼a National Academies of Sciences, Engineering, and Medicine (U.S.).
▼b Division on Engineering and Physical Sciences,
▼e issuing body. |
| 776 | 08 |
▼i Print version:
▼a National Academies of Sciences, Engineering, and Medicine
▼t Enhancing Urban Sustainability Infrastructure: Mathematical Approaches for Optimizing Investments
▼d Washington, D.C. : National Academies Press,c2023
▼z 9780309700719 |
| 856 | 40 |
▼3 EBSCOhost
▼u https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3622863 |
| 938 | |
▼a EBSCOhost
▼b EBSC
▼n 3622863 |
| 990 | |
▼a 관리자 |
| 994 | |
▼a 92
▼b N$T |