TRAFFIC GENERATION AND DISTRIBUTION OF RESIDENTIAL LAND OF GUANGZHOU IN COMMUTING PEAK HOUR: BASED ON THE ANALYSIS OF O-D ASSOCIATED DATA OF TAXI GPS
HAO Xin-hua1, ZHOU Su-hong2,3, LIU Lin2,3,4
1. Beijing Tsinghua Tongheng Urban Planning & Design Institute, Beijing 100085, China;
2. School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China;
3. Guangdong Key Laboratory for Urbanization and Geo-simulation, Guangzhou 510275, China;
4. Department of Geography, University of Cincinnati, Cincinnati OH 45221-0131, USA
Abstract：One of the most important anchor point people take their activities is their home. Resident trips original-destination survey has always been the common and conventional way to acquire the data for traffic demand analysis. However, a lot of investments and surveys take a long time, manpower and money, which make it difficult to meet the command of getting traffic information timely and promptly as the city grows rapidly. Taxi GPS data is to solve these problems, since lots of researchers has applied taxi GPS data to solve the problem about transportation. This paper aims to analyze the characteristics of traffic generation and distribution of residential land in commuting peak hour, discuss the urban job-housing spatial relation it implies and explore its possible application in traffic demand analysis and traffic prediction, based on spatial-temporal data mining of taxi GPS data combining land use data of Guangzhou, China. It reveals that trip distance during commuting peak hour shows distinct decay ZIPF law. At the same time, trip distance during commuting peak hour attracted by industrial land, business financial land, and public service land decrease in order, and trip distance during commuting peak hour shows the pattern of concentric ring from central area to suburb area.
郝新华, 周素红, 柳林. 广州市高峰小时居住用地交通产生与分布——基于出租车GPS起讫关联的分析[J]. 人文地理, 2016, 31(6): 109-114,151.
HAO Xin-hua, ZHOU Su-hong, LIU Lin. TRAFFIC GENERATION AND DISTRIBUTION OF RESIDENTIAL LAND OF GUANGZHOU IN COMMUTING PEAK HOUR: BASED ON THE ANALYSIS OF O-D ASSOCIATED DATA OF TAXI GPS. HUMAN GEOGRAPHY, 2016, 31(6): 109-114,151.
