交通运输系统工程与信息
交通運輸繫統工程與信息
교통운수계통공정여신식
JOURNAL OF COMMUNICATION AND TRANSPORTATION SYSTEMS ENGINEERING AND INFORMATION
2015年
2期
182-188,194
,共8页
交通工程%选址%最大覆盖模型%出租车停靠站%出行高峰时段%出行热点区域%GIS
交通工程%選阯%最大覆蓋模型%齣租車停靠站%齣行高峰時段%齣行熱點區域%GIS
교통공정%선지%최대복개모형%출조차정고참%출행고봉시단%출행열점구역%GIS
traffic engineering%locating%maximal covering location model%taxi stands%hot-periods of travel demands%hot-spots of travel demands%GIS
为了规范出租车运营,改善出行者候车环境,提高出租车经营效益,进行基于出租车出行需求特征的停靠站选址研究有着十分重要的现实意义。本文首先界定了出租车出行需求时空热点的含义,基于样本出租车GPS数据研究出行需求的时空聚集特征,得到了出行高峰时段和出行热点区域。将出行需求作为依据应用于出租车停靠站选址,提出了基于最大覆盖的停靠站选址模型,同时结合出行者的不确定性交通行为和消费特点,在车站服务能力、出行者步行距离和计划修建数量等方面分析了模型的适用条件。实例区域的选址研究结果表明,以客观需求为依据的选址方法,可以更好地契合出行者的出行需求,具有较高的实用性。
為瞭規範齣租車運營,改善齣行者候車環境,提高齣租車經營效益,進行基于齣租車齣行需求特徵的停靠站選阯研究有著十分重要的現實意義。本文首先界定瞭齣租車齣行需求時空熱點的含義,基于樣本齣租車GPS數據研究齣行需求的時空聚集特徵,得到瞭齣行高峰時段和齣行熱點區域。將齣行需求作為依據應用于齣租車停靠站選阯,提齣瞭基于最大覆蓋的停靠站選阯模型,同時結閤齣行者的不確定性交通行為和消費特點,在車站服務能力、齣行者步行距離和計劃脩建數量等方麵分析瞭模型的適用條件。實例區域的選阯研究結果錶明,以客觀需求為依據的選阯方法,可以更好地契閤齣行者的齣行需求,具有較高的實用性。
위료규범출조차운영,개선출행자후차배경,제고출조차경영효익,진행기우출조차출행수구특정적정고참선지연구유착십분중요적현실의의。본문수선계정료출조차출행수구시공열점적함의,기우양본출조차GPS수거연구출행수구적시공취집특정,득도료출행고봉시단화출행열점구역。장출행수구작위의거응용우출조차정고참선지,제출료기우최대복개적정고참선지모형,동시결합출행자적불학정성교통행위화소비특점,재차참복무능력、출행자보행거리화계화수건수량등방면분석료모형적괄용조건。실례구역적선지연구결과표명,이객관수구위의거적선지방법,가이경호지계합출행자적출행수구,구유교고적실용성。
In order to regulate taxi operation, improve waiting environment and promote taxi management benefit, a location method considering travel demands is proposed. In this paper, the spatial-temporal hotspot of travel demands are defined, and the aggregation characteristics of travel demands are analyzed through taxi GPS data, as well as hot-periods and hot-spots of travel demands are gotten. Based on travel demands, a maximal covering location model is constructed. Combined with the uncertainty of travel behavior and consumption characteristics of customers, the applicable conditions of the model in the aspect of service ability, distance and quantities are analyzed. The results of case study indicated that, location method based on the objective characteristics and with high practicability can better correspond to travel demands.