PROGRESS IN GEOGRAPHY ›› 2020, Vol. 39 ›› Issue (5): 738-750.doi: 10.18306/dlkxjz.2020.05.004

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Distribution characteristics and influencing factors of commercial center and hotspots based on big data: A case of the main urban area of Urumqi City

CHEN Hongxing1,2, YANG Degang1,*(), LI Jiangyue1,2, WU Rongwei1,2, HUO Jinwei1   

  1. 1. State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, CAS, Urumqi 830011, China
    2. University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2019-04-26 Revised:2019-07-26 Online:2020-05-28 Published:2020-07-28
  • Contact: YANG Degang
  • Supported by:
    2016 Open Foundation of State Key Laboratory of Resources and Environmental Information System(201619)


The structure of commercial space is vital to the vitality of cities, therefore it is essential to quantitatively identify and analyze the distribution of different types of commercial sites so as to optimize the configuration of commercial resources and facilitate the orderly development of cities. Taking the main urban area of Urumqi City as the case study area, using 136975 business-related points of interest (POIs) including six types of businesses in 2018 and open street map (OSM) road network, and based on head/tail division rule, this study identified high-density commercial parcels and used kernel density estimation to estimate the core region of business activities. The Getis-Ord G * method was used to identify the overall and different types of commercial hot spot areas. Geographic detector analysis was performed to explore the determinants of overall and different types of commercial site distribution in Urumqi, and Pearson correlation coefficient matrix of commercial sites was established to estimate the impact of the combination and coordination of business forms on commercial space. The findings of this study suggest that the key features of high-density commercial parcel distribution are central-peripheral, separated by highways and internal loops; the number of high value parcels from the center to the peripheral area reduces progressively; and the distribution of the six types of commercial sites varies. Commercial zone presents multi-core distribution characteristics, the agglomeration characteristic is apparent in the urban center region, and the northern commercial agglomeration is gradually becoming obvious. There are six main commercial centers including Nanhu, Zhongshan Road, Youhao, Huizhan Center, Midong New Area, and Tieluju. Tuwu Expressway and Wukui Expressway together constitute the two axes of commercial hotspots. Hotspots of the six types of commercial sites can be divided into three spatial structures. Business and finance show a single-center distribution trend; accommodation and food & restraurant are of banded extension type; while services and shopping spots are of banded dual-core type. The primary determinants of the spatial distribution of commercial sites are: land price, agglomeration effect, and road network density. The influence of population and central accessibility is secondary; elevation has no significant effect. In particular, for business and financial services, land price and center accessibility are the main factors affecting the distribution. Accommodation and food & restraurant are affected by road network density. Shopping and services are significantly affected by population density. Business and finance sites, food & restraurant and shopping sites all have strong synergistic effects on the formation of urban commercial space, while others are not significance.

Key words: big data, commercial center, commercial hotspot region, geodetector method, main urban area of Urumqi City