Iccrem 2017 2017
DOI: 10.1061/9780784481066.014
|View full text |Cite
|
Sign up to set email alerts
|

Urban Family Housing Consumption Behavior Based on Logit Model-Taking Harbin as an Example

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
3
0

Year Published

2021
2021
2023
2023

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(3 citation statements)
references
References 3 publications
0
3
0
Order By: Relevance
“…Liu (2012) found that security neglect is higher among boys than girls in rural Chongqing and Shanxi Provinces. In contrast, D. I. Yang (2011) found that neglect and its subtypes are higher among boys than girls, except for security neglect in urban Harbin City.…”
Section: Discussionmentioning
confidence: 81%
“…Liu (2012) found that security neglect is higher among boys than girls in rural Chongqing and Shanxi Provinces. In contrast, D. I. Yang (2011) found that neglect and its subtypes are higher among boys than girls, except for security neglect in urban Harbin City.…”
Section: Discussionmentioning
confidence: 81%
“…Similarly, Zhang used the life-cycle theory to study housing demand. He studied housing demand in China's mass cities through a model of residents' housing motives with income and price elasticities of less than one, and the main significant factors affecting housing demand were the level of household income and average age [6].…”
Section: Introductionmentioning
confidence: 99%
“…Previous research on infrastructure resilience has mainly focused on European and North American applications (Huck and Monstadt, 2019;Wu, 2017), and few studies have examined this topic in the context of China (Su, 2016). Although some studies have evaluated the resilience of urban infrastructure (Qiao, 2016), they focus on the assessment of the resilience of infrastructure in a specific environment, which is more targeted (Li et al, 2016), and most of the infrastructure is limited to its vulnerability (Wang, 2017;Sun et al, 2018) and the research of evaluation index system (Qiao, 2016;Yin et al, 2015). Hence, it is very important to seek suitable infrastructure resilience assessment methods (Li et al, 2016).…”
Section: Introductionmentioning
confidence: 99%