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| 005 | 20210202142626.0 | ||
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| 008 | 210202b ||||| |||| 00| 0 eng d | ||
| 100 |
_aNong, Yun _942127 |
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| 245 | _aStructural Cities: Delimiting Retailing Center Boundaries and Their Hierarchical Characteristics in Urban China Based on GPS-Enabled Taxi Data | ||
| 260 |
_bSage, _c2019. |
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| 300 | _aVol 39, Issue 3, 2019 (345-359p.) | ||
| 520 | _aPrevious behavioral studies on urban structure have been limited by the scale, accuracy, or promptness in obtaining statistical data used for delimiting retail center boundaries and hierarchical analysis. Using a large amount of GPS-enabled taxi data from Guangzhou, China, this research attempts to delimit the boundaries of retailing centers and explore their hierarchical characteristics. The identified retailing centers are verified with economic census data, and the retailing hierarchical structure is identified through assessing trip summation, travel distance, and travel time. Among these indicators, trip summation reveals hierarchical characteristics best. The urban retailing hierarchical structure also reveals the centrality of urban Guangzhou. | ||
| 650 |
_abig data, _942128 |
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| 650 |
_a China, _942129 |
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| 650 |
_aretailing center, _942130 |
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| 650 |
_a urban structure _942131 |
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| 700 |
_aZhou, Suhong _931255 |
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| 700 |
_aLiu, Lin _942132 |
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| 700 |
_aLi, Qiuping _942133 |
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| 773 | 0 |
_011153 _915496 _dSage, 2019. _tJournal of Planning Education and Research |
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| 856 | _uhttps://doi.org/10.1177/0739456X17741964 | ||
| 942 |
_2ddc _cART |
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