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| 基于出行链的建成环境对居民小汽车通勤出行的影响 | |
| 引用本文： | 张雪,周素红,陈菲.基于出行链的建成环境对居民小汽车通勤出行的影响[J].地理科学进展,2021,40(4):671-680. |
| 作者姓名： | 张雪 周素红 陈菲 |
| 作者单位： | 1.中山大学地理科学与规划学院,广州 510275 2.广东省公共安全与灾害工程技术研究中心,广州 510275 3.中国城市规划设计研究院,广东 深圳 518040 |
| 基金项目： | 国家自然科学基金项目(71961137003);国家自然科学基金项目(41871148);广东省重点领域研发计划项目(2020B0202010002) |
| 摘 要： | 城市建成环境对居民出行,尤其是小汽车通勤出行的影响是交通需求预测的基础性命题,长期受到关注。已有研究大多以单次出行作为研究对象,较少关注出行链影响下的出行协同决策问题。论文基于2017年广州市居民活动日志调查数据,采用Logistic模型检验了出行链视角下城市建成环境对工作日选择小汽车通勤出行的影响。研究发现,出行链中的非通勤出行与职住地建成环境存在交互作用关系,共同影响居民小汽车通勤出行方式选择。一方面,非通勤出行的时间顺序(到达就业地前的前项出行还是离开就业地后的后项出行)会影响职住地建成环境对小汽车通勤出行方式选择的作用关系;另一方面,非通勤出行目的地的建成环境要素会调节职住地建成环境与小汽车出行方式选择的关系。研究结论可为个体交通行为预测和基于个体模型的交通需求预测提供新的思路。 |
| 关 键 词： | 建成环境 小汽车通勤出行 出行链 交互作用 |
| 收稿时间： | 2020-06-17 |
| 修稿时间： | 2020-10-19 |
Impact of the built environment on residents'car commuting based on trip chain |
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| ZHANG Xue,ZHOU Suhong,CHEN Fei.Impact of the built environment on residents'car commuting based on trip chain[J].Progress in Geography,2021,40(4):671-680. | |
| Authors: | ZHANG Xue ZHOU Suhong CHEN Fei |
| Institution: | 1. School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China 2. Guangdong Provincial Engineering Research Center for Public Security and Disaster, Guangzhou 510275, China 3. China Academy of Urban Planning & Design, Shenzhen 518040, Guangdong, China |
| Abstract: | The impact of urban built environment on residents' travel behavior, especially car commuting, is a basic topic of traffic demand forecasting, which has received considerable research attention. Existing studies mainly focused on single trips and paid less attention to the collaborative decision making under the influence of trip chains. By using the logistic model and detailed activity diary data collected in Guangzhou City in 2017, this study investigated the relationship between urban built environment and car commuting on weekdays from the trip chain perspective. Empirical results indicate that there is an interactive relationship between non-commuting trip in the trip chain and the built environment of the workplace and residence, which synergistically affects residents' commuting modes. On the one hand, the non-commuting trip time (before or after the commuter's trip) make difference in the relationship between the built environment and commuting mode choice. On the other hand, the mutual influence of several built environment factors—residential area, work location, and non-commuting activity—determines the commuting behavior. Therefore, the extension of the results may provide new thoughts for predicting individual traffic behavior and traffic demand based on individual models. |
| Keywords: | built environment car commuting trip trip chain interaction |
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