Work from Home and Urban Structure

Q2 Social Sciences Built Environment Pub Date : 2023-09-01 DOI:10.2148/benv.49.3.503
Matthew J. Delventhal, Eunjee Kwon, Andrii Parkhomenko
{"title":"Work from Home and Urban Structure","authors":"Matthew J. Delventhal, Eunjee Kwon, Andrii Parkhomenko","doi":"10.2148/benv.49.3.503","DOIUrl":null,"url":null,"abstract":"The sustained increase in working from home in the wake of Covid has the potential to reshape the US urban landscape. This article describes the big picture of pre2020 remote work in the US and summarizes how that picture changed during the subsequent three years. It then introduces a mathematical model designed to calculate the possible long-run impacts of increased remote work on where and how Americans work and live. This model predicts that the increased prevalence of remote and hybrid work arrangements will induce workers with remote-capable jobs to find housing farther away from their job locations, increasing the length of the average commute while cutting the time actually spent commuting. Jobs that produce goods and services which must be consumed locally will follow the bulk of the population to suburbs and smaller cities, while jobs producing tradable output will increase both in low-cost and high-productivity locations, at the expense of the middle. In the long run, the reallocation of demand to lower density locations with fewer legal restrictions on housing development should reduce the real price of housing by at least 1 per cent, but these changes depend on adjustments to the housing stock, both through new construction and through re-purposing commercial real estate in city centres. The model predicts a partial reversal of the decades-long concentration of talent and income in the centres of the biggest cities. Data on changes 2019–2022 suggest that some of this reversal is already happening.","PeriodicalId":53715,"journal":{"name":"Built Environment","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Built Environment","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2148/benv.49.3.503","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 1

Abstract

The sustained increase in working from home in the wake of Covid has the potential to reshape the US urban landscape. This article describes the big picture of pre2020 remote work in the US and summarizes how that picture changed during the subsequent three years. It then introduces a mathematical model designed to calculate the possible long-run impacts of increased remote work on where and how Americans work and live. This model predicts that the increased prevalence of remote and hybrid work arrangements will induce workers with remote-capable jobs to find housing farther away from their job locations, increasing the length of the average commute while cutting the time actually spent commuting. Jobs that produce goods and services which must be consumed locally will follow the bulk of the population to suburbs and smaller cities, while jobs producing tradable output will increase both in low-cost and high-productivity locations, at the expense of the middle. In the long run, the reallocation of demand to lower density locations with fewer legal restrictions on housing development should reduce the real price of housing by at least 1 per cent, but these changes depend on adjustments to the housing stock, both through new construction and through re-purposing commercial real estate in city centres. The model predicts a partial reversal of the decades-long concentration of talent and income in the centres of the biggest cities. Data on changes 2019–2022 suggest that some of this reversal is already happening.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
在家和城市结构中工作
新冠肺炎疫情后,在家办公的持续增加有可能重塑美国的城市景观。本文描述了2020年前美国远程工作的总体情况,并总结了这一情况在随后的三年里是如何变化的。然后,它引入了一个数学模型,旨在计算远程工作增加对美国人工作和生活的地点和方式可能产生的长期影响。该模型预测,远程和混合工作安排的日益普及将促使从事远程工作的工人寻找离工作地点更远的住房,从而增加平均通勤时间,同时减少实际通勤时间。生产必须在当地消费的商品和服务的工作岗位将跟随大部分人口转移到郊区和小城市,而生产可贸易产出的工作岗位将在低成本和高生产率地区增加,而牺牲中部地区。从长远来看,将需求重新分配到对住房开发的法律限制较少的密度较低的地区,应使住房的实际价格至少降低1%,但这些变化取决于住房存量的调整,包括通过新建和重新利用城市中心的商业房地产。该模型预测,数十年来人才和收入集中在大城市中心的趋势将出现部分逆转。2019-2022年的变化数据表明,这种逆转已经在发生。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Built Environment
Built Environment Social Sciences-Urban Studies
CiteScore
2.80
自引率
0.00%
发文量
29
期刊最新文献
Carceral Displacement: The Root Shock of Mass Criminalization Displacement in Place: Root Shock in the Pearse Street Community, Dublin Root Shock's Missing Appendix Using Situation Analysis for Critical Policy Studies and Beyond Root Shock as Social Discipline Marginalization and Racism in Irish Social, Asylum, and Refugee Policies 'We Couldn't Get the Big Win' A Situation Analysis of the Stress of Gentrification at Differing Points in the Process
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1