The perceived importance and objective measurement of walkability in the built environment rating/ (Record no. 14879)
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fixed length control field | 02261nab a2200193 4500 |
005 - DATE & TIME | |
control field | 20231006115229.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 231006b |||||||| |||| 00| 0 eng d |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | Zhang, Xuan |
245 ## - TITLE STATEMENT | |
Title | The perceived importance and objective measurement of walkability in the built environment rating/ |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Name of publisher, distributor, etc | Sqge, |
Date of publication, distribution, etc | 2020. |
300 ## - PHYSICAL DESCRIPTION | |
Pages | Vol. 47, Issue 9, 2020, ( 1655–1671 p.) |
520 ## - SUMMARY, ETC. | |
Summary, etc | The built environment plays an important role in shaping physical activities and furthering a healthy lifestyle. An obesogenic environment, which promotes obesity through uninviting neighborhood design, can cause sedentary living and environmentally induced inactivity, particularly by reducing walking. Existing measures of walkability consider the distribution and features of potential destinations, but fail to account for key aspects of the built environment design, pedestrian preferences, or various reasons for walking. In this paper, we propose a new assessment method, the Perceived importance and Objective measurement of Walkability in the built Environment Rating (POWER), incorporating pedestrian preferences derived from a walking preference survey. By conducting a university campus-based case study, we developed a quantitative method, the customized analytic hierarchy process, to analyze data from the survey. The customized analytic hierarchy process was used to calculate the perceived importance of various factors. In addition, objective measurements were collected and processed from Geographic Information System (GIS) data and fieldwork. Using both perceived importance and objective measurements, we created a POWER map showing the most walkable and unwalkable places on campus. The outcome of this case study reveals the nuanced spatial variations with regard to walkability. The proposed integral measure creates an improved method for rating the walkability of the built environment. Future applications and limitations are also discussed. |
700 ## - Added Entry Personal Name | |
Added Entry Personal Name | Mu, Lan |
773 0# - HOST ITEM ENTRY | |
Host Biblionumber | 8876 |
Host Itemnumber | 17104 |
Place, publisher, and date of publication | London Pion Ltd. 2010 |
Title | Environment and planning B: planning and design (Urban Analytics and City Science) |
International Standard Serial Number | 1472-3417 |
856 ## - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | https://doi.org/10.1177/2399808319832305 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | E-Journal |
100 ## - MAIN ENTRY--PERSONAL NAME | |
-- | 58412 |
700 ## - Added Entry Personal Name | |
-- | 58413 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
-- | ddc |
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