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天津滨海新区居民职住关系及其影响因素研究

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基于百度地图时空大数据分析了天津市滨海新区居民职住空间分布特征和通勤交通现状.研究结果发现:滨海新区就业地与居住地在空间分布上保持较高的一致性,不同功能区内的职住空间匹配存在较大差异;居民出行以长距离通勤为主,平均通勤距离为 9.1 km;副城区尚未形成一定规模和影响的就业中心.同时,从地理位置、发展特性、人口特征及公服设施四个方面分析了职住关系的影响因素,并提出增强空间策略系统性、土地混合利用、丰富居住产品类型、发展快速交通体系等相关对策.
Job-Housing Relationship and Its Influence Factors in Tianjin Binhai New Area
Based on the spatio-temporal big data of Baidu Map,this paper analyzes the spatial distribution characteristics of jobs and housing as well as the current situation of commuting traffic in Binhai New Area of Tianjin.The results show that:the employment place and residence in Binhai New Area maintain a high consistency in spatial distribution,and there are great differences in job-residence space matching in different functional areas.Residents mainly commute long distances,with an average commuting distance of 9.1km.The sub-district has not yet formed the employment center with a certain scale and influence.At the same time,the paper analyzes the factors affecting the relationship between employment and housing from four aspects,such as geographical location,development characteristics,population characteristics and public service facilities.Relevant countermeasures and suggestions,such as enhancing the systematic spatial strategy,mixed land use,enriching the types of residential products,and developing the rapid transportation system are put forward.

Binghai New AreaBaidu Map big datajob-housing spacecommuting characteristics

曹珊珊、马辉

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天津城建大学 经济与管理学院,天津 300384

滨海新区 百度地图大数据 职住空间 通勤特征

2024

天津城建大学学报
天津城市建设学院

天津城建大学学报

影响因子:0.385
ISSN:2095-719X
年,卷(期):2024.30(1)
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