The Evaluation of Outdoor Thermal Sensation and Outdoor Energy Efficiency of a Commercial Pedestrianized Zone

Xuan Ma, Hiroatsu Fukuda, Dian Zhou and Mengying Wang
Additional contact information
Xuan Ma: Faculty of Environmental Engineering, The University of Kitakyushu, Kitakyushu 8080135, Japan
Hiroatsu Fukuda: Faculty of Environmental Engineering, The University of Kitakyushu, Kitakyushu 8080135, Japan
Dian Zhou: School of Human Settlements and Civil Engineering, Xi’an Jiaotong University, Xi’an 710049, China
Mengying Wang: Graduate school of Human-Environment Studies, Kyushu University, Kyushu 8190002, Japan

Energies, 2019, vol. 12, issue 7, 1-19

Abstract: The growth of the scale of cities intensifies urban heat island (UHI) by obstructing the wind and building more radiation at pedestrian level, thus leading to an energy consumption. Commercial pedestrianized-zones cannot only become symbols of cities but also an important factor increasing local economic income. This study conducts on-site measurement and numerical simulation to evaluate the cooling energy efficiency of different parameters (building, vegetation, pavement material) in Fo Shan city, which locates in hot-summer and warm-winter climate region of China. Also, calculations are done to evaluate the index physiological equivalent temperature (PET) for understanding thermal sensation at a pedestrian level (1.5 m). To evaluate different impacts of this zone renewal on the environment and choose the most energy-saving method, it is easy for us to utilize the linear regression for understanding the relationship between coverage ratio of trees (TCR) and thermal comfort in canyon space, which shows that ?PET = 0.1703 × TCR + 0.2444 with a most important R 2 value of 0.9836, for TCR increases from 12.5% to 22%. In open space, also increasing coverage ratio of trees (TCR) can effectively improve humans’ thermal comfort, which shows that ?PET = 0.2644 × TCR + 0.3955 with a most important R 2 value of 0.8892.

Keywords: pedestrianized zone; thermal comfort; on-site measurement; numerical simulation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
https://www.mdpi.com/1996-1073/12/7/1324/pdf (application/pdf)
https://www.mdpi.com/1996-1073/12/7/1324/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:12:y:2019:i:7:p:1324-:d:220515

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().