交通导向发展中的货运自行车:概念与路线集群

Aziz Syam, B. Prasetya
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引用次数: 2

摘要

. 电子商务市场的日益增长,使得节省最后一公里运输的商家相互竞争,以提供具有运输类型和价格竞争力的第三方物流服务。自2013年以来,雅加达市的货运自行车一直很受欢迎,这是由西部自行车信使服务(WMS)社区首创的,该社区在雅加达的几个地区提供自行车运输服务。轨道交通模式与货运自行车的结合可以为该系统从地方规模或区域规模发展到城市规模提供机会。本研究将提供TOD区域的自行车城市物流概念。利用扫描算法结合重心(COG),在三个tod中生成具有不同特征的集群配送路线。以U1 (Fatmawati)为特征的TOD拥有9个集群,以U2 (Cipete)为特征的TOD拥有6个集群,以R (block M)为特征的TOD拥有7个集群。本研究提出了雅加达捷运一期中自行车和轨道系统之间的综合城市物流概念。以交通导向发展(TOD)的形式将城市空间与使用自行车的区域规模城市物流系统相结合,有望为节能环保物流系统的选择提供答案。COG - sweep算法为三种不同特征的tod生成了一组送货路线。具有U1特征的TOD的簇数最多,有9个簇,其次是具有R特征的TOD,有7个簇,U2有6个簇。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cargo Bikes in Transit Oriented Development: Concept and Route Clustering
. The increasing growth of the e-commerce market makes the savings of the last mile shipping compete with each other to provide third-party logistics services with the type of shipping and competitive prices. The existence of Cargo bikes in Jakarta city has been popular since 2013 pioneered by the West Bike Messenger Service (WMS) community which provides bicycle shipping services in several areas in Jakarta. Integration of rail transportation modes combined with cargo bikes can provide opportunities for this system to develop from a local scale or a regional scale to a city scale. This study will provide the concept of urban logistics in the TOD areas with bikes. The use of sweep algorithm combined with Center of Gravity (COG), produce cluster delivery routes in three TODs with different characteristics. TOD with the character U1 (Fatmawati) has 9 clusters, U2 (Cipete) has 6 clusters, and 7 clusters are owned by TOD with character R (Blok M). This study presents the concept of integrated city logistics between bicycles and rail systems in the MRT Jakarta phase1. The incorporation of urban spatial in the form of Transit Oriented Development (TOD) with an urban logistics system with regional scale using bicycles is expected to be able to provide answers to the option of an energy-efficient and environmentally friendly logistics system. The COG and sweep algorithm method produces a cluster of delivery cargo routes for three TODs with different characteristics. TOD with characteristics of U1 has the most clusters with 9 clusters, followed by TOD with characteristics of R of 7 clusters, and U2 has 6 clusters.
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