THE IMPACT OF HAIKOU’S URBAN BUILT ENVIRONMENT ON ONLINE CAR-HAILING COMMUTING DURING PEAK HOURS: BASED ON DIDI TRAVEL DATA
SHAO Hai-yan1, JIN Cheng1,2, ZHONG Ye-xi3, MAO Wei-sheng4
1. School of Geography Science, Nanjing Normal University, Nanjing 210023, China;
2. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China;
3. School of Geography and Environment, Jiangxi Normal University, Nanchang 330022, China;
4. School of Urban and Regional Science, East China Normal University, Shanghai 200062, China
Abstract：The popularity of online car-hailing has reshaped residents' commuting behavior, and the urban built environment profoundly affects residents' commuting travel. However, the current academic circles pay more attention to the impact of the urban built environment on traditional commuting modes such as bus, subway, and car. To address this gap in the literature, this paper depicts the spatial differentiation pattern of residents' commuting time and commuting distance on a grid-scale in Haikou and uses Geodetector to analyze the influence of the urban built environment factors and their interaction on residents' commuting travel. The results show that the average commuting time in the morning and evening peaks is 9.01 minutes and 8.79 minutes. Secondly, different built environment factors have distinct effects on commuting time and distance. Thirdly, from the perspective of impact effect, the influence of distance, diversity, design, destination accessibility, and density on commuting time decrease in turn. Finally, superior transportation location, the balance of jobs and housing, high road proximity, and good job accessibility can guide the coordinated development of online car-hailing and diversified transportation.
邵海雁, 靳诚, 钟业喜, 毛炜圣. 海口城市建成环境对高峰期网约车通勤出行的影响——基于滴滴出行数据[J]. 人文地理, 2022, 37(5): 130-139.
SHAO Hai-yan, JIN Cheng, ZHONG Ye-xi, MAO Wei-sheng. THE IMPACT OF HAIKOU’S URBAN BUILT ENVIRONMENT ON ONLINE CAR-HAILING COMMUTING DURING PEAK HOURS: BASED ON DIDI TRAVEL DATA. HUMAN GEOGRAPHY, 2022, 37(5): 130-139.
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