2026年 03期

摘要(Abstract)：

为了促进城市物流低碳转型，采用连续近似法，以服务每个客户点产生的碳排放量为度量标准，考虑服务半径、社区物流中心偏移服务区几何中心的距离等影响因素，量化小、中、大型3类无人物流车在不同城市物流空间布局下的碳排放水平。结果表明：随着服务半径与社区物流中心偏移服务区几何中心的距离的增加，3类无人物流车的碳排放水平显著提高；相对于中、大型无人物流车，小型无人物流车在服务半径为250、 500 m时的碳排放水平最低，服务每个客户点产生的碳排放量最小，分别为3.071、 6.149 g,大型无人物流车在服务半径更大的条件下有更强的低碳优势；当社区物流中心偏移服务区几何中心的距离为250、 500、 750、 1 000 m时，相对于中、大型无人物流车，小型无人物流车在服务半径为250、 500、 750、 1 000 m时的碳排放水平整体均较高，在社区物流中心偏移服务区几何中心的多种距离条件下，大型无人物流车的碳排放水平的稳健性更强。

关键词(KeyWords)：城市物流空间布局;碳排放水平;连续近似法;无人物流车;“最后一公里”物流

基金项目(Foundation):山东省自然科学基金项目(ZR2021ME076);; 2024山东省城市更新学会重点研究专项课题(240602);; 山东省自然资源厅2024年在研科研项目(17)

作者(Author):马雪婷,王林申,王本娟,许霄霄,王桂林

DOI:10.13349/j.cnki.jdxbn.20260305.001

参考文献(References)：

[1] 钟文，杨俊，郑明贵，等.中国城市数字经济对物流业碳排放的影响效应及传导机制[J].中国环境科学，2024,44(1):427.

[2] 余海燕，马鑫珂，文颖.即时零售下无人车配送的成本优化研究：与传统配送方式的比较分析[J].价格理论与实践，2022(7):74.

[3] ANSARI S,BA??DERE M,LI X P,et al.Advancements in continuous approximation models for logistics and transportation systems:1996-2016[J].Transportation Research Part B:Meth-odological,2018,107:229.

[4] ASGHARI M,MIRZAPOUR AL-E-HASHEM S M J.Green vehicle routing problem:a state-of-the-art review[J].International Journal of Production Economics,2021,231:107899.

[5] 马越越，李银平，马琳茜.中国物流绿色低碳发展空间关联效应及影响因素[J].环境科学，2025,46(3):1462.

[6] MOGHDANI R,SALIMIFARD K,DEMIR E,et al.The green vehicle routing problem:a systematic literature review[J].Journal of Cleaner Production,2021,279:123691.

[7] 谈晓勇，李欧阳.考虑碳排放综合成本的冷链物流配送路径优化[J].物流科技，2023,46(20):164.

[8] 简永波，周自宝，洪一玮，等.基于改进鲸鱼优化算法的冷链物流配送中心选址[J].物流科技，2024,47(24):152.

[9] 蒋一波，周泽宝，李强，等.基于遗传算法的低碳导向的物流中心配送优化[J].计算机科学，2024,51(增刊2):80.

[10] 邢其宇，谢宝玲.考虑碳排放的冷链物流配送中心选址研究现状[J].中国储运，2022(12):47.

[11] 王旭坪，詹林敏，张珺.考虑碳税的电子商务物流最后一公里不同配送模式的成本研究[J].系统管理学报，2018,27(4):776.

[12] GARUS A,CHRISTIDIS P,MOURTZOUCHOU A,et al.Unravelling the last-mile conundrum:a comparative study of autonomous delivery robots,delivery bicycles,and light commercial vehicles in 14 varied European landscapes[J].Sustainable Cities and Society,2024,108:105490.

[13] CORENTIN P,ADRIANA S.Automated delivery robots:a vehicle routing problem on last mile delivery cost per unit based on range and carrying capacity[J].IFAC PapersOnLine,2022,55(10):121.

[14] SCHERR Y O,HEWITT M,NEUMANN SAAVEDRA B A,et al.Dynamic discretization discovery for the service network design problem with mixed autonomous fleets[J].Transportation Research Part B:Methodological,2020,141:164.

[15] KOH L Y,XIA Z Y,YUEN K F.Consumer acceptance of the autonomous robot in last-mile delivery:a combined perspective of resource-matching,perceived risk and value theories[J].Transportation Research Part A:Policy and Practice,2024,182:104008.

[16] FANG S Y,RASHID U K,CHUAN L T.Acceptance level of drone delivery among Malaysian consumers[J].Procedia Computer Science,2024,232:284.

[17] GANJIPOUR H,EDRISI A.Consumers' intention to use delivery robots in Iran:an integration of NAM,DOI,and TAM[J].Case Studies on Transport Policy,2023,13:101024.

[18] 戴红玉.用户对无人物流配送的使用意愿分析[J].物流科技，2024,47(8):51.

[19] 王海力，吕途.基于价值接受模型的无人配送车使用行为影响因素研究[J].青岛大学学报(自然科学版),2024,37(3):92.

[20] SRINIVAS S,RAMACHANDIRAN S,RAJENDRAN S.Autonomous robot-driven deliveries:a review of recent developments and future directions[J].Transportation Research Part E:Logistics and Transportation Review,2022,165:102834.

[21] KIN B,BULDEO RAI H,DABLANC L,et al.Integrating logistics into urban planning:best practices from Paris and Rotterdam[J].European Planning Studies,2024,32(1):24.

[22] LANGEVINI A,MBARAGA P,CAMPBELL J F.Continuous approximation models in freight distribution:an overview[J].Transportation Research Part B:Methodological,1996,30(3):163.

[23] DAGANZO C F.The length of tours in zones of different shapes[J].Transportation Research Part B:Methodological,1984,18(2):135.

[24] JENNINGS D,FIGLIOZZI M.Study of sidewalk autonomous delivery robots and their potential impacts on freight efficiency and travel[J].Transportation Research Record,2019,2673(6):320.

[25] JENNINGS D,FIGLIOZZI M.Study of road autonomous delivery robots and their potential effects on freight efficiency and travel[J].Transportation Research Record,2020,2674(9):1022.

[26] 张志玮，叶曦，杨志红.基于曼哈顿距离自注意力机制的U-Net3+图像分割[J].江汉大学学报(自然科学版),2024,52(2):59.

[27] FRANCESCHETTI A,JABALI O,LAPORTE G.Continuous approximation models in freight distribution management[J].Transactions in Operations Research,2017,25:417.

[28] 胡觉亮，张宇涛，韩曙光.城市物流中电动无人车配送优化研究[J].浙江理工大学学报(社会科学版),2020,44(2):126.

[29] 薛星群，王旭坪，詹林敏.电子商务物流最后一公里配送的碳排放研究[J].运筹与管理，2019,28(12):121.

[30] FIGLIOZZI M A.Carbon emissions reductions in last mile and grocery deliveries utilizing air and ground autonomous vehicles[J].Transportation Research Part D:Transport and Environment,2020,85:102443.

[31] PLANK M,LEMARDEL?? C,ASSMANN T,et al.Ready for robots?:assessment of autonomous delivery robot operative accessibility in German cities[J].Journal of Urban Mobility,2022,2:100036.

[32] 城市居住区规划设计标准：GB 50180—2018[S].北京：中国建筑工业出版社，2018:5.