| 000 | 02320nab a2200253 4500 | ||
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_c11611 _d11611 |
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| 003 | OSt | ||
| 005 | 20210408111121.0 | ||
| 007 | cr aa aaaaa | ||
| 008 | 210408b ||||| |||| 00| 0 eng d | ||
| 100 |
_aLong, Ying _930396 |
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| 245 | _aDoes block size matter? The impact of urban design on economic vitality for Chinese cities | ||
| 260 |
_bSage, _c2019. |
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| 300 | _aVol 46, Issue 3, 2019,(406-422 p.) | ||
| 520 | _aThe influence of urban design on economic vitality has been analyzed by a number of researchers and is also a key focus of many planning/design theories. However, most quantitative studies are based on just one city or a small set of cities, rather than a large number of cities that are representative of an entire country. With the increasing availability of new data, we aim to alleviate this gap by examining the impact of urban design upon economic vitality for the 286 largest cities in China by looking at a grid of geographical units that are 1 km by 1 km. We use these units and a set of new data (emerging big data and new data that reflecting urban developments and human mobility) to look at the impact of urban form indicators, such as intersection density (urban design), level of mixed use, and access to amenities and transportation, on economic vitality represented by activities using social media data. Our results show that these urban design indicators have a significant and positive relationship with levels of economic vitality for cities at every administrative level. The results contribute to a holistic understanding of how to improve economic vitality in cities across China at a detailed level, particularly at a time when China’s economic growth will depend largely on growth of the service sector in urban areas. We think these results can help decision makers, developers, and planners/designers to improve economic vitality in cities across China. | ||
| 650 |
_aConsumption vitality, _945698 |
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| 650 |
_a intersection density, _945699 |
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| 650 |
_a block size, _937882 |
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| 650 |
_a big/open data, _942128 |
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| 650 |
_aChina _945700 |
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| 700 |
_aHuang, CC _945701 |
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| 773 | 0 |
_011590 _915512 _dSage 2019. _t Environment and Planning B: Urban Analytics and City Science |
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| 856 | _uhttps://doi.org/10.1177/2399808317715640 | ||
| 942 |
_2ddc _cART |
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