关键词: 居住郊区化, 空间分布, 因素分析, 发展趋势

Abstract:

Suburbanization in Beijing region appeared in the early 1980s and has been accelerated since the 1990s because of rapid growth of both its socio-economy and its traffic.In an approach of combining microscopic analysis with macroscopic analysis,this paper examines spatial distribution,dynamisms and future trends of suburbanization in Beijing based on the questionnaires of random-selected residents in newly developed residential areas.The locational characteristics of the residential expansions are such as gradual extensions around the city core,arterial roads outwards,and the modern industrial parks.Most of the residential neighbourhoods are dormitory towns that have simple functions although they vary in types and sizes.Many factors collectively lead to residential areas expansions.For example,high land prices and the relatively scarcity of land,industrial development and distribution,development of the city road systems are primary forces of suburbanization in Beijing region.The eastern and southern suburbs that are around the No 5 loop and the No 6 loop within Beijing region are primary locational choices besides suburban towns such as Shunyi,Tongzhou,Yizhuang,and Liangxiang. Overdispered settlements resulted from suburbanization contribute to land waste and energy waste and environmental pollution,and unfavor public transportation construction and operation as well as other supporting facilities construction.So the following measures are proposed to manage and gradually control urban sprawl in Beijing region.First,relative policies and plans must be made and implemented to minimize over-decentralization of suburban residential neighbourhoods.Secondly,more mixed-use land must be practised in suburban settlements to add more functions there and sub-centers must be planned and built to serve suburban residents.Finally,the city's ecological environment must be protected and highlighted and the city greenbelts must be built to hold up the urban sprawl.

Key words: suburbanization, spatial distribution, factor analysis, future trend