| 000 | 02261nab a2200193 4500 | ||
|---|---|---|---|
| 003 | OSt | ||
| 005 | 20231006115229.0 | ||
| 007 | cr aa aaaaa | ||
| 008 | 231006b |||||||| |||| 00| 0 eng d | ||
| 100 |
_aZhang, Xuan _958412 |
||
| 245 | _aThe perceived importance and objective measurement of walkability in the built environment rating/ | ||
| 260 |
_bSqge, _c2020. |
||
| 300 | _aVol. 47, Issue 9, 2020, ( 1655–1671 p.) | ||
| 520 | _aThe 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 |
_aMu, Lan _958413 |
||
| 773 | 0 |
_08876 _917104 _dLondon Pion Ltd. 2010 _tEnvironment and planning B: planning and design (Urban Analytics and City Science) _x1472-3417 |
|
| 856 | _uhttps://doi.org/10.1177/2399808319832305 | ||
| 942 |
_2ddc _cEJR |
||
| 999 |
_c14879 _d14879 |
||