2021
DOI: 10.1016/j.cities.2020.103080
|View full text |Cite
|
Sign up to set email alerts
|

The impact of mixes of transportation options on residential property values: Synergistic effects of walkability

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

3
9
1

Year Published

2021
2021
2024
2024

Publication Types

Select...
8

Relationship

0
8

Authors

Journals

citations
Cited by 17 publications
(17 citation statements)
references
References 35 publications
3
9
1
Order By: Relevance
“…Moreover, for the concerns about the effects of park area percentage and distance to transportation on the housing prices, we specifically portrayed the relationship between house property prices and the GREEN and TRAFFIC features on data visualization presented in Fig 4 . These results obtained are in accordance with similar studies reported in the literatures [ 19 , 20 , 51 , 63 65 ].…”
Section: Resultssupporting
confidence: 93%
See 1 more Smart Citation
“…Moreover, for the concerns about the effects of park area percentage and distance to transportation on the housing prices, we specifically portrayed the relationship between house property prices and the GREEN and TRAFFIC features on data visualization presented in Fig 4 . These results obtained are in accordance with similar studies reported in the literatures [ 19 , 20 , 51 , 63 65 ].…”
Section: Resultssupporting
confidence: 93%
“…As similar to those which were previously reported in many other public amenities, we modified the objective measurable attributes affecting property price to account for park size and distance to transportation, as schematically illustrated in Fig 2 [ 19 , 40 , 49 51 ]. To analyze the percentage of green area, we placed the house of interest at the center of a square parcel with sides parallel to the North-South direction and East-West direction on the map, while the direct distance to transportation, was found by using USGS National Map.…”
Section: Methods and Datasetsmentioning
confidence: 99%
“…The coefficient of d _ CBD is significantly negative, which indicates that every additional km away from the nearest city center is expected to cause a decrease in housing prices. Except for the floor area ratio, other control variables are significant at the 0.01 level, and their effects on housing prices are consistent with existing studies (Choi et al, 2021; Li et al, 2019). The coefficient of the fee is also significantly positive, indicating that the housing price rises by approximately 5.34% when the property service fee increases by 1 RMB per square meter per month.…”
Section: Resultssupporting
confidence: 87%
“…Finally, implementing the principles of walkable cities has been proven to have economical value reflected in increased property values (Choi et al, 2021). Considering the problem from a wider perspective of a country and region, Gösling et.al, revealed that the costs of building, maintaining, and using motorised transport infrastructure are largely underestimated (for the territory of the European Union); therefore the departure from this form of mobility toward walking can be also justified by economic reasons (Gössling et al, 2019).…”
Section: Urban Form and Walkingmentioning
confidence: 99%