在互联网通信技术的支持和防疫时期复工需求的推动下，远程办公迅速发展并成为一种重要的办公模式。远程办公的出现，不仅直接改变人们的生产、生活方式，还会对城市空间结构间接产生重要影响。本文基于主体建模（Agent-based Modelling），构建了一个考虑远程办公影响的城市空间模型，并以北京市为例进行仿真模拟，旨在探索远程办公对城市空间结构的影响。 首先，基于经济学理论，本文构建了一个基于主体建模的远程办公下城市空间模型。该模型由环境（网格空间）、主体集合（居民、企业、住房三类主体）和主体间交互作用三个部分构成，刻画了居民选址、企业生产、住房交易等一系列城市经济活动。 其次，基于北京市空间数据，本文应用上述模型进行远程办公下北京市城市空间结构演变的仿真模拟。研究发现，当城市中远程办公者比例增加到30%时：（1）远程办公者会因为通勤出行减少而选择城市周边区域居住，导致实地办公者的居住范围向城市中心收紧；（2）城市整体平均住房租金下降11.5%，有效降低了居民住房成本；（3）城市平均通勤距离和平均通勤量分别下降4.3%和20.6%，说明远程办公可以在一定程度上缓解城市职住不匹配、交通拥挤等问题；（4）城市居民平均效用增长率提高72.2个百分点，远程办公者享受大部分效用提升，而实地办公者因为外部性也享受小部分效用提升，但这两种居民在收入上的差距可能会加剧社会不公平。 最后，本文总结了远程办公对城市空间结构的影响机制，并基于研究成果，为推动远程办公普及、城市空间规划提供了针对性建议。

With the support of Internet communication technology and the promotion of demand for work resumption during pandemic prevention period, remote work has rapidly developed into an important mode of work. The emergence of remote work not only directly changes the ways of production and lifestyle, but also has an indirect and significant impact on urban spatial structure. Based on agent-based modelling (ABM), this thesis builds an urban spatial model considering the effect of remote work, and takes Beijing as an example to carry out simulation in order to explore the effect of remote work on urban spatial structure. First of all, based on economic theory and agent-based modelling, this thesis constructs an urban spatial model under the context of remote work. The model consists of three parts: the environment (a grid space), agent set (residents, enterprises, houses) and interaction among agents. The model also depicts a series of urban economic activities such as residents’ location choices, enterprises’ production behavior, housing transaction, etc. Secondly, based on the spatial data of Beijing, the thesis applies the above model to simulate the evolution of urban spatial structure under the context of remote work in Beijing. The thesis finds that when the percentage of remote workers increases to 30%: (1) Remote workers tend to choose to live in peripheral areas of the city due to reduced commuting, leading to a tightening of the residential range of non-remote workers towards the city center; (2) The average housing rent in the city falls by 11.5%, effectively reducing the housing cost of residents; (3) The average commuting distance and the average commuting volume decrease by 4.3% and 20.6% respectively, indicating that remote work can alleviate certain urban problems such as job-housing mismatch and traffic congestion to a certain extent; (4) The average utility growth rate of residents increases by 72.2 percentage point, with remote workers enjoying most of the utility improvement, while non-remote workers also gain a small amount of utility improvement due to externalities. However, income disparity between the two types of residents may exacerbate the social inequality. Finally, this thesis summarizes the impact mechanism of remote work on urban spatial structure, and provides targeted suggestions for promoting the popularization of remote work and urban spatial planning based on the findings of the thesis.