{"title":"HORECA密集区城市物流对策分析","authors":"L. Jorge, A. David","doi":"10.1108/978-1-78756-803-720181007","DOIUrl":null,"url":null,"abstract":"The fast growth of urban areas in major cities worldwide is undoubtedly one of the biggest concerns for city officials. In Latin America, data show that currently 81% of its inhabitants live in urban areas, and calculations forecast an increase in this percentage. In this context, urban logistics would become increasingly important in the overall performance of the region and its cities. The main objective of this study was to develop a set of key performance indicators (KPIs) to complement the square kilometer (km2) methodology developed by MIT, applying it in a highly intensive HORECA (hotels, restaurant, coffee shops) area known as “Zona T (The T Zone)” in Bogota, Colombia, as this is a critical area where distribution needs to be performed at its best. Data such as shop inventory (stores, restaurants, drugstores, etc.), vehicle counting (cars, buses, motorbikes, trucks, etc.), product deliveries (by type: perishables, groceries, cleaning supplies, etc.), and traffic disruptions were collected through observation. Based on literature review and results of the study, 13 KPIs are proposed in three categories: operational (average distance and store coverage, service time & service rate, store density, delivery points, easiness for delivery and vehicle delivery factor), energy and environmental (fuel consumption and emissions), and traffic (traffic density, speed and traffic per lane). The main results show a 62-m average distance from truck to store, service time of 18:36 min, 1.019 gal and 9.1 kg CO2e of fuel consumption and emission, respectively, traffic density of 421 vehicles/h, and other results described throughout the document.","PeriodicalId":139052,"journal":{"name":"Supply Chain Management and Logistics in Latin America","volume":"57 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Analysis of Urban Logistics Measures in an HORECA Intensive Area\",\"authors\":\"L. Jorge, A. David\",\"doi\":\"10.1108/978-1-78756-803-720181007\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The fast growth of urban areas in major cities worldwide is undoubtedly one of the biggest concerns for city officials. 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Based on literature review and results of the study, 13 KPIs are proposed in three categories: operational (average distance and store coverage, service time & service rate, store density, delivery points, easiness for delivery and vehicle delivery factor), energy and environmental (fuel consumption and emissions), and traffic (traffic density, speed and traffic per lane). 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引用次数: 1
摘要
世界主要城市城区的快速发展无疑是城市官员最关心的问题之一。在拉丁美洲,数据显示,目前81%的居民居住在城市地区,计算预测这一比例将会增加。在这种情况下,城市物流对该区域及其城市的整体绩效将变得越来越重要。本研究的主要目标是制定一套关键绩效指标(kpi),以补充麻省理工学院开发的平方公里(km2)方法,并将其应用于哥伦比亚波哥大被称为“T区”的高度密集的HORECA(酒店、餐厅、咖啡店)区域,因为这是一个需要最佳分配的关键区域。通过观察收集商店库存(商店、餐馆、药店等)、车辆计数(汽车、公共汽车、摩托车、卡车等)、产品交付(按类型:易腐品、杂货、清洁用品等)和交通中断等数据。在文献综述和研究结果的基础上,提出了运营(平均距离和门店覆盖率、服务时间和服务率、门店密度、配送点、配送难易程度和车辆配送系数)、能源和环境(油耗和排放)和交通(交通密度、速度和每车道交通量)三类13个kpi。主要结果显示,卡车到仓库的平均距离为62 m,服务时间为18:36 min,油耗和排放分别为1.019 gal和9.1 kg CO2e,交通密度为421辆/h,以及全文描述的其他结果。
Analysis of Urban Logistics Measures in an HORECA Intensive Area
The fast growth of urban areas in major cities worldwide is undoubtedly one of the biggest concerns for city officials. In Latin America, data show that currently 81% of its inhabitants live in urban areas, and calculations forecast an increase in this percentage. In this context, urban logistics would become increasingly important in the overall performance of the region and its cities. The main objective of this study was to develop a set of key performance indicators (KPIs) to complement the square kilometer (km2) methodology developed by MIT, applying it in a highly intensive HORECA (hotels, restaurant, coffee shops) area known as “Zona T (The T Zone)” in Bogota, Colombia, as this is a critical area where distribution needs to be performed at its best. Data such as shop inventory (stores, restaurants, drugstores, etc.), vehicle counting (cars, buses, motorbikes, trucks, etc.), product deliveries (by type: perishables, groceries, cleaning supplies, etc.), and traffic disruptions were collected through observation. Based on literature review and results of the study, 13 KPIs are proposed in three categories: operational (average distance and store coverage, service time & service rate, store density, delivery points, easiness for delivery and vehicle delivery factor), energy and environmental (fuel consumption and emissions), and traffic (traffic density, speed and traffic per lane). The main results show a 62-m average distance from truck to store, service time of 18:36 min, 1.019 gal and 9.1 kg CO2e of fuel consumption and emission, respectively, traffic density of 421 vehicles/h, and other results described throughout the document.