已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整的填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Disparities in affecting factors of housing price: A machine learning approach to the effects of housing status, public transit, and density factors on single-family housing price

民族 公共交通 人口经济学 公共住房 公共经济学 建筑环境 经济 业务 经济增长 政治学 运输工程 工程类 土木工程 法学
作者
Yefu Chen,Junfeng Jiao,Arya Farahi
出处
期刊:Cities [Elsevier]
卷期号:140: 104432-104432 被引量:18
标识
DOI:10.1016/j.cities.2023.104432
摘要

Profound insights have been gained into which characteristics determine housing prices. These characteristics reflect two different aspects: those which are correlated with the dwelling itself and those which are correlated with the location and the surrounding area. However, few studies precisely looked at the disparities and heterogeneity in these effects across neighborhoods with varied conditions. Also, there lacks studies focusing on the moderate-density cases where housing markets have drawn concerns recently. This study aims to fill this research gap by analyzing these disparities across neighborhoods with different economic and racial/ethnic conditions. Through machine learning approaches, we compare the disparities in the impacts of housing status, public transit services, and surrounding environment factors under seven conditions. Results indicate that the heterogeneity in economic conditions could be more significant than racial/ethnical conditions. Through comparison analysis, we call policymakers to need to adopt differentiated perspectives on housing price analysis, and future studies should consider the disparities in the impacts across neighborhoods.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
1秒前
zhangz完成签到,获得积分10
2秒前
3秒前
大气摩托发布了新的文献求助10
3秒前
XL完成签到 ,获得积分10
4秒前
爱问的茜草完成签到,获得积分10
5秒前
彭于晏应助qq采纳,获得10
6秒前
7秒前
Min完成签到,获得积分10
7秒前
Jeny发布了新的文献求助30
7秒前
8秒前
9秒前
甜甜玫瑰应助123采纳,获得10
11秒前
Ldq发布了新的文献求助10
14秒前
14秒前
14秒前
爱撒娇的酸奶完成签到,获得积分10
16秒前
16秒前
充电宝应助jovrtic采纳,获得30
17秒前
哭泣青烟完成签到 ,获得积分10
18秒前
花笙米完成签到,获得积分10
19秒前
Lolo发布了新的文献求助10
20秒前
zbx完成签到 ,获得积分20
20秒前
lc应助太空工程师采纳,获得10
20秒前
21秒前
21秒前
王先生发布了新的文献求助10
22秒前
小小小新发布了新的文献求助10
24秒前
lc发布了新的文献求助10
26秒前
28秒前
29秒前
29秒前
yaunshiqi发布了新的文献求助10
33秒前
35秒前
fwda1000完成签到 ,获得积分10
35秒前
机智柚子发布了新的文献求助10
38秒前
zhai完成签到,获得积分10
39秒前
草莓奶昔发布了新的文献求助10
41秒前
lc完成签到,获得积分20
42秒前
高分求助中
Licensing Deals in Pharmaceuticals 2019-2024 3000
Cognitive Paradigms in Knowledge Organisation 2000
Effect of reactor temperature on FCC yield 2000
Very-high-order BVD Schemes Using β-variable THINC Method 1020
Near Infrared Spectra of Origin-defined and Real-world Textiles (NIR-SORT): A spectroscopic and materials characterization dataset for known provenance and post-consumer fabrics 610
Promoting women's entrepreneurship in developing countries: the case of the world's largest women-owned community-based enterprise 500
Shining Light on the Dark Side of Personality 400
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3307135
求助须知:如何正确求助?哪些是违规求助? 2940891
关于积分的说明 8499375
捐赠科研通 2615081
什么是DOI,文献DOI怎么找? 1428662
科研通“疑难数据库(出版商)”最低求助积分说明 663482
邀请新用户注册赠送积分活动 648337