摘要
居民出行特征与交通设施建设、居民生活质量、疫情防控等密切相关,是城市规划领域研究的重要主题之一。当前居民出行特征研究主要集中于特大城市,对中小城市的研究相对较少。本文以贵州省铜仁市为例,基于2019年5月、2019年11月、2020年5月三个时段,61543902条铜仁市常住人口出行OD手机信令数据,对小城市居民出行的规模、时耗、距离、分布空间与网络特征进行研究。结果发现:一、小城市出行规模在一天中有3-4个高峰,大城市则仅有2个高峰,小城市高峰出行量占比在冬季更高;2020年初新冠疫情后,铜仁市人口密度较大的区县内部出行比例上升。二、铜仁市的区县内部每次出行平均时耗与人口规模之间有较强的正相关性。三、铜仁市每次出行距离分布在群体层面上服从幂律分布;且冬季的区县内长距离出行的次数衰减较快。四、小城市居民出行空间分布呈现明显的向心性,大城市向心性相对较弱。五、铜仁市城镇化率较高地区在出行网络中的重要程度在冬季往往上升。研究结论进一步认识了小城市居民出行特征,为交通规划和交通政策制定提供了参考。
The characteristics of residents’travel behaviors,one of important issues in urban planning,are closely related to the construction of transport infrastructure,the quality of residents’life,and the prevention and control of pandemic.Previous studies on residents’travel behaviors mainly focused on megacities,with few studies having been conducted on small and mediumsized cities.This paper studies the travel scale,travel time,travel distance,and spatial network characteristics of residents’travel behaviors on the basis of 61543902 mobile phone signaling data of the resident population for three time periods in May 2019,November 2019,and May 2020 in Tongren City,China.The findings regarding scale characteristics are as follows:Firstly,unlike big cities that typically experience morning and evening travel peaks,Tongren City exhibits three peaks in travel volume throughout the day.Comparing the data from May 2019 and November 2019,it was observed that the proportion of peak travel volume was higher in winter.Secondly,there is a strong positive correlation between the number of trips and the population size of the districts and counties.Thirdly,by comparing the data from May 2019 and May 2020,it was found that after the outbreak of the COVID-19 pandemic in early 2020,the proportion of trips within districts and counties with higher population densities increased.Fourthly,most districts and counties exhibit a higher number of trips in 1-2 towns/subdistricts,while the rest show a sharp decline in travel volume.The findings regarding on travel time are as follows:(1)The travel time exhibits three peaks throughout the day,but these peaks do not coincide with the peaks in travel volume during the same time periods.(2)There is a strong positive correlation between the average travel time per trip within districts and counties and the population size.The findings regarding on distance characteristics are as follows:(1)The distribution of travel distances in Tongren City and within each district and county follows a po
作者
赵鹏军
刘文洲
余玲
王浩
赵东一
张浩然
李玲
ZHAO Pengjun;LIU Wenzhou;YU Ling;WANG Hao;ZHAO Dongyi;ZHANG Haoran;LI Ling
出处
《西部人居环境学刊》
CSCD
北大核心
2024年第3期155-161,共7页
Journal of Human Settlements in West China
基金
国家自然科学基金项目(41925003)
深圳市科技计划资助项目(JCY20220818100810024、KQTD20221101093604016)。
关键词
出行行为
小城市
手机信令数据
复杂网络
铜仁市
travel behavior
small cities
mobile signaling data
complex network
Tongren City
