Research in Transportation Economics最新文献_第9页

Emerging economic geography of urban restaurants as freight generators: Logistics policy implications for managing dark kitchens and food trucks 城市餐馆作为货运发电机的新兴经济地理：管理黑暗厨房和食品卡车的物流政策含义

IF 3.4 3区工程技术 Q1 ECONOMICS

Research in Transportation Economics

Pub Date : 2025-09-02 DOI: 10.1016/j.retrec.2025.101627

Suprava Mishra , Agnivesh Pani , Ivan Sanchez-Diaz , Heleen Buldeo Rai , Ankit Gupta

The rapid rise of app-based food delivery platforms has redefined how restaurants shape urban space. However, little is known about how these evolving restaurant types cluster and interact with urban land use. Using spatial analysis involving Ripley's-

K

and Moran's-

I

and predictive models involving decision trees, random forest, and multinomial logit models, this study attempts to explain the location choices of restaurants based on their relative distance to the city centre, rent, population density, and night-time light (NTL) intensity. Analysis results reveal that dark kitchens exhibit the tightest clustering, often in low-rent, high-density zones, while in-person dining is concentrated in high-rent, high-NTL areas. Among the models tested, random forest outperformed decision trees and multinomial logit models in predicting restaurant types, with night-time light emerging as the strongest spatial predictor. The clustering patterns observed in emerging urban restaurant types differ significantly from traditional brick-and-mortar establishments; study findings highlight the urgent need for adaptive freight planning and zoning policies to address the growing logistical footprint of digitally mediated food establishments. While based in Indian cities, the framework and insights of this study are transferable to other global contexts where on-demand food delivery and mixed-use zoning intersect in urban areas.

基于app的外卖平台的迅速崛起重新定义了餐馆如何塑造城市空间。然而，人们对这些不断发展的餐馆类型是如何聚集在一起并与城市土地利用相互作用的知之甚少。利用Ripley’s- k和Moran’s- i空间分析和决策树、随机森林和多项logit模型的预测模型，本研究试图根据餐馆与市中心的相对距离、租金、人口密度和夜间灯光强度来解释餐馆的选址选择。分析结果显示，暗厨房的聚集性最紧密，通常在低租金、高密度的区域，而面对面用餐则集中在高租金、高ntl的区域。在测试的模型中，随机森林在预测餐厅类型方面优于决策树和多项logit模型，其中夜间灯光成为最强的空间预测器。新兴城市餐厅类型的聚类模式与传统实体餐厅有显著差异；研究结果强调，迫切需要制定适应性货运规划和分区政策，以解决数字媒介食品企业日益增长的物流足迹。虽然基于印度城市，但本研究的框架和见解可转移到其他全球背景下，即按需食品配送和混合用途分区在城市地区交叉。

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引用次数: 0

Assessing AI-based eco-driving solutions for reducing GHG emissions in green transportation systems 评估基于人工智能的生态驾驶解决方案，以减少绿色交通系统中的温室气体排放

IF 3.4 3区工程技术 Q1 ECONOMICS

Research in Transportation Economics

Pub Date : 2025-09-02 DOI: 10.1016/j.retrec.2025.101632

Rakan Alyamani , Yasir Ahmed Solangi , Muddesar Iqbal , Dhafer Almakhles , Cosimo Magazzino

The transportation sector in the Kingdom of Saudi Arabia (KSA) is a major contributor to greenhouse gas (GHG) emissions, driven by the country's heavy reliance on oil and fossil fuels. Transitioning to a green and sustainable transport system is critical for reducing emissions and aligning with Saudi Arabia's Vision 2030 goals of diversifying its economy and promoting environmental sustainability. Thus, this research examined the adoption of a green sustainable transport system to reduce GHG emissions and reduce dependence on fossil fuels for sustainable development in the KSA. The study evaluates various factors and Artificial Intelligence (AI)-based eco-driving solutions to systematically implement green transportation systems. In this study, the Fuzzy Analytical Hierarchy Process (FAHP) method is applied to evaluate the five factors and eighteen sub-factors crucial for developing a green transportation system in the country. Next, the Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (FTOPSIS) method is used to prioritize the most significant AI-based eco-driving solutions for the implementation of smart and green transportation in KSA. The findings of the FAHP show that environmental impact (33 %) is the most crucial factor, followed by regulatory compliance (21.3 %) and economic viability (16.9 %). The FTOPSIS indicates that the smart navigation system (CC_i = 0.682) is the most critical AI-based eco-driving solution because this can help reduce GHG emissions and increase the efficiency of traffic regulation in the country. The electric and hybrid vehicle integration (CC_i = 0.585) and carbon footprint tracking systems (CC_i = 0.355) are the next most significant solutions. This study is helpful in reducing GHG emissions, supporting sustainable development, and guiding policymakers toward effective green transport initiatives.

沙特阿拉伯王国（KSA）严重依赖石油和化石燃料，交通运输部门是温室气体（GHG）排放的主要来源。过渡到绿色和可持续的交通系统对于减少排放和符合沙特阿拉伯2030年愿景的目标至关重要，该目标旨在实现经济多元化和促进环境可持续性。因此，本研究探讨了在沙特阿拉伯采用绿色可持续交通系统以减少温室气体排放和减少对化石燃料的依赖以实现可持续发展。该研究评估了各种因素和基于人工智能（AI）的生态驾驶解决方案，以系统地实施绿色交通系统。本研究采用模糊层次分析法（FAHP）对我国发展绿色交通系统的5个关键因素和18个子因素进行了评价。接下来，使用模糊理想解决方案相似度偏好排序技术（FTOPSIS）方法对最重要的基于人工智能的生态驾驶解决方案进行优先排序，以实现KSA的智能和绿色交通。FAHP的研究结果显示，环境影响（33%）是最关键的因素，其次是法规遵从（21.3%）和经济可行性（16.9%）。FTOPSIS表明，智能导航系统（CCi = 0.682）是最关键的基于人工智能的生态驾驶解决方案，因为这有助于减少温室气体排放，提高该国的交通管制效率。电动和混合动力汽车集成（CCi = 0.585）和碳足迹跟踪系统（CCi = 0.355）是第二重要的解决方案。这项研究有助于减少温室气体排放，支持可持续发展，并指导决策者采取有效的绿色交通举措。

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引用次数: 0

Achieving collaboration between local and regional governments aiming to stagger school starting hours 实现地方和地区政府之间的合作，以错开上课时间为目标

IF 3.4 3区工程技术 Q1 ECONOMICS

Research in Transportation Economics

Pub Date : 2025-08-30 DOI: 10.1016/j.retrec.2025.101629

Eva-Lena Eriksson , Helene Lidestam , Lena Winslott Hiselius

The peak-hour travel demand is the most important operational cost driver for public transport in Sweden. Implementing staggered school starting hours as a measure to spread out the travel demand has proven to be challenging. This study focuses on overcoming barriers to collaboration between public transport authorities, municipalities, and schools concerning school transport planning and school operations scheduling in order to reduce public transport costs. Data was collected through semi-structured interviews with individuals with experience in introducing staggered school starting hours. The Institutional Collective Action (ICA) framework was utilised to identify the barriers to collaboration. The paper discusses methods for overcoming these barriers and concludes with actions such as involving all stakeholders in the problem formulation, increasing knowledge of stakeholders’ operations and planning procedures, providing incentives for all actors, and safeguarding the autonomy of each actor. Insights that could also be applied to collaboration with other actors, e.g., workplaces, aiming to stagger commuter peak-hour demand. The study advances the empirical application of the ICA framework by applying it in a Swedish context, in the field of transport planning, and with stakeholders who do not perceive the issue at hand as a problem and lack commitment to finding a joint solution.

高峰时段的出行需求是瑞典公共交通最重要的运营成本驱动因素。事实证明，将错开上课时间作为分散出行需求的一项措施具有挑战性。本研究的重点是克服公共交通当局、市政当局和学校之间在学校交通规划和学校运营调度方面的合作障碍，以降低公共交通成本。数据是通过半结构化访谈收集的，访谈对象是具有引入错开上课时间经验的个人。机构集体行动（ICA）框架被用来确定合作的障碍。本文讨论了克服这些障碍的方法，并总结了让所有利益相关者参与问题制定、增加对利益相关者运作和规划程序的了解、为所有行为者提供激励以及维护每个行为者的自主权等行动。这些见解也可以应用于与其他参与者的合作，例如，工作场所，旨在错开通勤高峰时段的需求。该研究推进了ICA框架的实证应用，将其应用于瑞典的交通规划领域，以及不认为手头的问题是一个问题，缺乏寻找共同解决方案的承诺的利益相关者。

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引用次数: 0

Mobile communication technology and consumer demand: Empirical evidence of China's automobile industry 移动通信技术与消费者需求：中国汽车产业的实证证据

IF 3.4 3区工程技术 Q1 ECONOMICS

Research in Transportation Economics

Pub Date : 2025-08-28 DOI: 10.1016/j.retrec.2025.101630

Panwei Xiang , Lianren Wu , Muhua Wei , Jiayin Qi

With the extensive adoption of electrification technology in China's new energy vehicle market, traditional automakers are accelerating their transition towards electrification, thereby reshaping the competitive landscape. Meanwhile, mobile communication technology, which serves as the foundation of networking and intelligent development, not only facilitates the rapid emergence of new automotive manufacturers but also introduces novel opportunities and challenges to the new energy vehicle industry. This study employs a discrete choice model to empirically analyze how network configuration impacts the sales of new energy vehicles, aiming to explore how network connectivity empowers these vehicles in the post-subsidy era. The findings demonstrate that: (1) The mobile network configuration can positively affect the market share of new energy vehicle products, among which consumer satisfaction plays a partial mediating role. (2) From the perspective of specific network configuration, the impact on automotive market share is mainly driven by the role of 4G network, while the impact of 4G to 5G network upgrade is a gradual process. (3) For domestic car brands and car brands with relatively low prices, network integration plays a more obvious role in improving the car market share.

随着电气化技术在中国新能源汽车市场的广泛应用，传统汽车制造商正在加速向电气化转型，从而重塑竞争格局。同时，移动通信技术作为物联网和智能化发展的基础，不仅促进了新型汽车厂商的快速涌现，也给新能源汽车产业带来了新的机遇和挑战。本研究采用离散选择模型实证分析网络配置对新能源汽车销量的影响，旨在探讨后补贴时代网络连接如何赋能新能源汽车。研究结果表明：(1)移动网络配置对新能源汽车产品的市场份额有正向影响，其中消费者满意度起部分中介作用。(2)从具体网络配置来看，对汽车市场份额的影响主要由4G网络的作用驱动，而4G向5G网络升级的影响是一个渐进的过程。(3)对于国产汽车品牌和价格相对较低的汽车品牌而言，网络整合对提高汽车市场占有率的作用更为明显。

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引用次数: 0

Estimating gasoline demand and electric vehicle adoption: A spatial model for Brazil 估计汽油需求和电动汽车的采用：巴西的空间模型

IF 3.4 3区工程技术 Q1 ECONOMICS

Research in Transportation Economics

Pub Date : 2025-08-20 DOI: 10.1016/j.retrec.2025.101623

Sergio Prolo , Andrea Pellegrini , Werner Kraus Junior , Alexandre Hering Coelho , John M. Rose

We investigate gasoline demand growth in Brazil over a 16-year period, assessing its response to electric vehicle (EV) adoption and taxation measures. Using a spatial-based econometric model with data from 2006 to 2021 across all Brazilian states, we observe that annual gasoline sales nearly doubled from 2006 to 2014, reaching 0.22 m³ per capita, and then stabilized. Our model reveals that the EV motorization rate negatively impacts gasoline demand, with an elasticity of −0.126, compared to 0.609 for internal combustion engine vehicles. The results show that aggressive fuel taxation alone is insufficient to achieve long-term reductions in demand. However, fleet electrification is more effective, potentially reducing per capita gasoline consumption by 90% between 2021 and 2034 when it is strongly incentivized. A combined approach integrating taxation and electrification offers the most efficient pathway for reducing demand while generating revenue for public investment in Brazil’s transition to a carbon-free transportation sector.

我们调查了巴西16年来的汽油需求增长，评估了其对电动汽车（EV）采用和税收措施的反应。我们使用基于空间的计量经济模型，分析了2006年至2021年巴西各州的数据，发现从2006年到2014年，巴西的汽油年销量几乎翻了一番，达到人均0.22立方米，之后趋于稳定。我们的模型显示，电动汽车机动化率对汽油需求的影响为负，弹性系数为- 0.126，而内燃机汽车的弹性系数为0.609。研究结果表明，仅靠征收高额燃油税不足以实现需求的长期减少。然而，车队电气化更有效，在2021年至2034年期间，如果得到强有力的激励，人均汽油消耗量可能会减少90%。在巴西向无碳交通部门转型的过程中，税收和电气化相结合的方法为减少需求，同时为公共投资创造收入提供了最有效的途径。

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引用次数: 0

The evolution of consumer preferences in last-mile delivery methods and the impact on urban logistics—A simulation study in the Rotterdam-The Hague region 最后一英里配送方式中消费者偏好的演变及其对城市物流的影响——以鹿特丹-海牙地区为例的模拟研究

IF 3.4 3区工程技术 Q1 ECONOMICS

Research in Transportation Economics

Pub Date : 2025-08-15 DOI: 10.1016/j.retrec.2025.101624

J.E. van Vliet , M.A. de Bok , B. Atasoy , G. Homem de Almeida Correia

The growing demand for parcel delivery contributes to traffic congestion, high emissions, and rising costs of freight logistics, particularly in urban areas. To address these issues, new and sustainable last-mile delivery methods must be implemented. However, estimating the impact of different logistics systems is complex, as it depends heavily on consumer adoption of these new delivery methods.

This paper presents a simulation model that captures and explores the interconnections between multiple last-mile delivery methods and corresponding consumer preferences. Two key factors affecting consumer preferences are simulated: (1) consumers’ response to the performance and availability of delivery methods, and (2) the sharing of knowledge through word of mouth and familiarisation. System dynamics is applied at the aggregate level to simulate the evolution of consumer preferences for last-mile delivery across multiple methods. At the disaggregate level, an agent-based model simulates the operational performance of these delivery methods, which in turn influences consumer preferences in the system dynamics model. This integrated approach allows for the observation of the evolving interaction between urban logistics supply and demand, providing key performance indicators on consumer preferences and the delivery method operations at consecutive time points.

The developed simulation model is applied to a case study in the Rotterdam-The Hague region, a highly urbanised region in The Netherlands. Results show that consumer preferences strongly depend on the carriers’ ability to fulfil the demand. The dynamic interaction between supply and demand creates a reinforcing feedback loop, where the adaptability of carriers is crucial for the long-term success of a delivery method. Additionally, the spatial results reveal that there are zonal differences in the performance of the delivery methods. Further findings indicate that, while total vehicle kilometres and CO₂ emissions will rise due to increasing parcel demand in all scenarios, the average number of van kilometres and CO₂ emissions per parcel will decrease as demand grows.

日益增长的包裹递送需求导致交通拥堵、高排放和货运物流成本上升，尤其是在城市地区。为了解决这些问题，必须实施新的、可持续的最后一英里交付方法。然而，估计不同物流系统的影响是复杂的，因为它在很大程度上取决于消费者对这些新的交付方式的采用。本文提出了一个仿真模型，该模型捕捉并探索了多种最后一英里交付方式和相应的消费者偏好之间的相互联系。本文模拟了影响消费者偏好的两个关键因素：(1)消费者对交付方式的性能和可用性的反应；(2)通过口碑和熟悉来分享知识。系统动力学应用于聚合层，模拟了消费者在多种方式下对最后一英里交付的偏好演变。在分解层，基于代理的模型模拟这些交付方法的操作性能，这反过来影响系统动力学模型中的消费者偏好。这种综合方法允许观察城市物流供需之间不断发展的相互作用，提供关于消费者偏好和连续时间点交付方法操作的关键绩效指标。开发的模拟模型应用于荷兰高度城市化地区鹿特丹-海牙地区的案例研究。结果表明，消费者的偏好强烈依赖于运营商满足需求的能力。供需之间的动态互动创造了一个强化的反馈循环，其中运营商的适应性对于交付方法的长期成功至关重要。此外，空间结果表明，在交付方式的性能存在区域差异。进一步的研究结果表明，虽然在所有情况下，由于包裹需求的增加，车辆总公里数和二氧化碳排放量将增加，但随着需求的增长，每个包裹的平均面包车公里数和二氧化碳排放量将减少。

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引用次数: 0

Knowledge and strategies for facilitating urban freight and last-mile deliveries amid digital 数字化时代促进城市货运和最后一英里配送的知识和策略

IF 3.4 3区工程技术 Q1 ECONOMICS

Research in Transportation Economics

Pub Date : 2025-08-15 DOI: 10.1016/j.retrec.2025.101625

Astrid Bjørgen , Kelly Pitera , Hampus Karlsson , Sahar Babri , Kathrine Strømmen

Digitalization has been increasing in nearly all aspects of society, facilitating new opportunities. One example is the increase in online shopping opportunities which in turn results in increased home (or near-home) deliveries. This shift within last-mile distribution must be considered by local authorities, both regarding its impacts on traditional city center deliveries, and also the expansion of last-mile deliveries to residential areas where the infrastructure is not designed to safely or efficiently accommodate larger freight vehicles. Increased understanding of the impacts of digital transitions on urban mobility is needed to better integrate freight and logistics into urban planning and to establish strategies and policies for supporting urban freight and last-mile transitions. At the same time, this digitalization provides further opportunities for knowledge development by expanding the availability and richness of data. Local authorities must initiate collaboration with the private sector (i.e., logistics service providers, receivers, and end consumers) to develop policies that facilitate the collection of last-mile delivery data in ways that benefit all stakeholders. This study, motivated by a mapping of last-mile deliveries to shopping malls, reflects on these issues, and then further suggests areas for future research and strategies for local authorities to consider.

数字化几乎在社会的各个方面都在增加，创造了新的机会。一个例子是网上购物机会的增加，这反过来又导致了家庭（或近家）送货的增加。地方当局必须考虑到最后一英里配送的这种转变，既要考虑到它对传统的市中心配送的影响，也要考虑到将最后一英里配送扩展到居民区，因为那里的基础设施无法安全或有效地容纳大型货运车辆。需要进一步了解数字化转型对城市交通的影响，以便更好地将货运和物流纳入城市规划，并制定支持城市货运和最后一英里转型的战略和政策。与此同时，这种数字化通过扩大数据的可用性和丰富性，为知识发展提供了进一步的机会。地方当局必须启动与私营部门（即物流服务提供商、接收方和最终消费者）的合作，以制定有利于所有利益相关者的方式收集最后一英里交付数据的政策。这项研究的动机是对购物中心的最后一英里配送进行测绘，它反映了这些问题，然后进一步提出了未来研究的领域和地方当局考虑的策略。

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引用次数: 0

Examining the introduction of transportation network companies (TNCs) and ridesharing services for airport ground access in Australia 研究引入交通网络公司（TNCs）和拼车服务，为澳洲机场提供地面服务

IF 3.4 3区工程技术 Q1 ECONOMICS

Research in Transportation Economics

Pub Date : 2025-08-05 DOI: 10.1016/j.retrec.2025.101622

Stephen Ison , Lucy Budd , John D. Nelson , Corinne Mulley

Ground access mode choice directly impacts an airport's commercial income generation, imposes a range of environmental externalities and requires often-considerable capital investment and infrastructure development. Historically, these revenue planning, environmental management and capital investment decisions were predicated on the knowledge that airport ground access occurred via private vehicles or by conventional public transport modes. However, the introduction of new forms of ride-hailing and ridesharing mobility services by Transportation Network Companies (TNCs) is disrupting the status quo and posing new revenue and infrastructure planning challenges for airports. Australia is one country experiencing this new business model. The aim of this paper is to examine the situation in Australia and explore the extent to which major passenger airports in the country are adapting to the advent of TNCs and ridesharing services. The situation at the 10 busiest passenger airports is examined. The findings show that while these airports still routinely plan for conventional forms of ground access, TNC's represent a trend breaker which demands new ground access management strategies. Recommendations to help airport management respond to the introduction of widespread ridesharing and the arrival of TNCs in terms of landside asset configuration and the potential for regulatory and financial strategies are proposed.

地面通道模式的选择直接影响机场的商业收入，带来一系列的环境外部性，并且通常需要相当大的资本投资和基础设施建设。从历史上看，这些收入规划、环境管理和资本投资决策都是基于私人车辆或传统公共交通方式进入机场的知识。然而，运输网络公司（TNCs）引入的新形式的叫车和拼车移动服务正在打破现状，并对机场的收入和基础设施规划提出了新的挑战。澳大利亚就是一个正在经历这种新商业模式的国家。本文的目的是研究澳大利亚的情况，并探讨该国主要客运机场适应跨国公司和拼车服务出现的程度。调查了10个最繁忙的客运机场的情况。调查结果表明，虽然这些机场仍然按照常规方式规划地面通道，但TNC代表了一种趋势，需要新的地面通道管理策略。本文提出了建议，以帮助机场管理部门在陆地资产配置以及监管和财务战略的潜力方面应对广泛的拼车和跨国公司的到来。

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引用次数: 0

The role of paratransit in sustainable urban mobility: A scoping review 辅助交通在可持续城市交通中的作用：范围审查

IF 3.4 3区工程技术 Q1 ECONOMICS

Research in Transportation Economics

Pub Date : 2025-08-04 DOI: 10.1016/j.retrec.2025.101613

Abubakar Sadiq Abass, Mohammed Aljoufie, Abdulrhman M. Gbban

Meeting the mobility needs of urban residents using formal transport systems in developing country cities such as Accra is often fraught with challenges. Paratransit modes have thus, over the years, tended to fill the void created by the shortcomings of formal systems. Their dominance is however often associated with various setbacks which often militate against achieving sustainable urban mobility in developing countries' towns and cities such as Accra. The quest to develop sustainable urban transport modes has often led to marginalisation and outlawing of paratransit operations in these regions despite their notable contributions to urban mobility. This scoping review presents a deeper understanding of paratransit's role by addressing: its broader scope and meaning; its contribution to first- and last-mile connectivity; how it serves underserved populations; its operational strengths and weaknesses; the extent to which it complements formal transport systems and its general overview in the Ghanaian context. These findings are expected to set the stage for further empirical study of how paratransit can be integrated into formal urban transport systems to achieve sustainable public urban transport in Accra given the failure of previous attempts to implement the Bus Rapid Transit (BRT) systems in the city.

在阿克拉等发展中国家的城市，利用正规交通系统满足城市居民的出行需求往往充满挑战。因此，多年来，辅助交通模式往往填补了正式系统的缺点所造成的空白。然而，它们的主导地位往往与各种挫折有关，这些挫折往往不利于在阿克拉等发展中国家的城镇实现可持续的城市流动性。发展可持续城市交通方式的努力往往导致这些地区的辅助交通业务边缘化和非法化，尽管它们对城市交通做出了显著贡献。这一范围审查通过解决以下问题，对辅助交通的作用有了更深的理解：其更广泛的范围和意义；对第一英里和最后一英里互联互通的贡献；它如何为服务不足的人群提供服务；其业务优势和劣势；它对正规运输系统的补充程度及其在加纳情况下的总体概况。鉴于之前在阿克拉实施快速公交（BRT）系统的尝试失败，这些研究结果有望为进一步的实证研究奠定基础，即如何将辅助交通整合到正式的城市交通系统中，以实现阿克拉可持续的公共城市交通。

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引用次数: 0

Solutions for sustainable last-mile delivery: Pick-up points location with customers’ choice 可持续的最后一英里递送解决方案：客户选择取件地点

IF 3.4 3区工程技术 Q1 ECONOMICS

Research in Transportation Economics

Pub Date : 2025-08-02 DOI: 10.1016/j.retrec.2025.101612

Giuseppe Bruno, Antonio Diglio, Carmela Piccolo, Eduardo Pipicelli

The ever-growing increase of e-commerce is motivating the development of innovative solutions for optimized and sustainable last-mile logistics in the business-to-consumer (B2C) parcel delivery market. Self-collection is a recent but consolidated delivery strategy in the field, allowing customers to autonomously collect parcels from assisted or unassisted dedicated facilities (pick-up points and parcel lockers). However, the success of self-collection depends on the location of such facilities, as this strongly affects customers’ propensity to patronize them. In this context, this paper proposes a mathematical programming model for the optimal location of pick-up points in urban areas. The model seeks to maximize the proportion of customers opting for self-collection to promote this strategy over home delivery. It uses a MultiNomial Logit (MNL) to model customers’ choices. Specifically, in the MNL, parameters reflecting customers’ behaviors are included to represent their preferences for the two strategies. The model is applied to the case of Bologna (northern Italy), and various scenarios are produced by varying parameters. The results demonstrate the relevance of customers’ behavior in affecting decisions and provide numerous managerial insights, thus classifying the proposed model as an effective support tool for the design of self-collection networks.

电子商务的不断增长推动了企业对消费者（B2C）包裹递送市场中优化和可持续的最后一英里物流创新解决方案的发展。自动提货是一种最新的综合配送策略，允许客户从辅助或无人辅助的专用设施（取件点和包裹储物柜）自动提取包裹。然而，自助收集的成功取决于这些设施的位置，因为这强烈影响顾客光顾这些设施的倾向。在此背景下，本文提出了城市取货点最优位置的数学规划模型。该模式旨在最大限度地提高选择自我收集的客户比例，以促进这种策略而不是送货上门。它使用多项Logit （MNL）来模拟客户的选择。具体而言，在MNL中，包含反映客户行为的参数来表示他们对两种策略的偏好。该模型应用于博洛尼亚（意大利北部）的案例，并通过不同的参数产生各种情景。结果证明了客户行为在影响决策方面的相关性，并提供了许多管理见解，从而将所提出的模型分类为设计自我收集网络的有效支持工具。

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引用次数: 0