How to evaluate and plan the freight-passengers first-last mile

Abstract “First-last mile” (FLM) is an informal composed-word, widely used to indicate the first and the last leg of each transport movement. In this paper, it is defined as a complex system characterized by three interconnected macro factors that determine the success of a transport planning system. This is a very challenging part of the transport system from a planning perspective because of the critical issues that make it not much reliable and cost-effective. This paper capitalizes on the experiences gained in different implementations/studies and provides a theoretical framework for a good assessment and planning of the first-last mile. It stems from the recognition that the literature proposes different solutions and methods, ranging from the promotion of green transport to the use of ITS technologies. For this reason, this paper aims at elaborating some guidelines on how to tackle the problem in different territorial contexts, trying to be a help to the planners to reduce the negative consequences of mobility. Five main phases are identified here: 1) First-last mile identification; 2) Schematization of the problem and cost analysis; 3) Definition of the stakeholder involvement in the process; 4) Identification of the critical aspects of the process; 5) Identification of the best strategies to reduce costs. For each phase, the indicators to be taken into account for a correct transport planning are discussed, as a first step for stakeholders and policy-makers for making themselves aware of the significant potential of this issue.

[1]  Anna Trentini,et al.  Toward a Shared Urban Transport System Ensuring Passengers & Goods Cohabitation , 2010 .

[2]  A J Sobey,et al.  THE CASE FOR PERSONAL RAPID TRANSIT , 1971 .

[3]  Mark Goh,et al.  Collaborative Urban Logistics – Synchronizing the Last Mile a Singapore Research Perspective , 2014 .

[4]  Hajo A. Reijers,et al.  The Share-a-Ride Problem: People and parcels sharing taxis , 2014, Eur. J. Oper. Res..

[5]  Laura Eboli,et al.  Measuring Bus Comfort Levels by using Acceleration Instantaneous Values , 2016 .

[6]  M. Givoni,et al.  Exploring Last Mile Synergies in Passenger and Freight Transport , 2016 .

[7]  Toshinori Nemoto,et al.  Impacts of Information and Communication Technology on Urban Logistics System , 2001 .

[8]  Anthony Perl,et al.  Shared Autonomous Vehicles: Catalyst of New Mobility for the Last Mile? , 2016 .

[9]  Sharada Vadali,et al.  Accessibility evaluations of feeder transit services , 2013 .

[10]  J.H.R. van Duin,et al.  City logistics through the canals? A simulation study on freight waterborne transport in the inner-city of Amsterdam , 2014 .

[11]  Eiichi Taniguchi,et al.  EVALUATING CITY LOGISTICS MEASURES CONSIDERING THE BEHAVIOR OF SEVERAL STAKEHOLDERS , 2005 .

[12]  I. Mayeres,et al.  THE MARGINAL EXTERNAL COSTS OF URBAN TRANSPORT , 1996 .

[13]  Jialei Cheng,et al.  Urban Micro-Consolidation and Last Mile Goods Delivery by Freight-Tricycle in Manhattan: Opportunities and Challenges , 2012 .

[14]  M. Punakivi,et al.  Identifying the success factors in e‐grocery home delivery , 2001 .

[15]  Jairo R. Montoya-Torres,et al.  A literature review on the vehicle routing problem with multiple , 2014 .

[16]  J Kelly,et al.  Successful Transport Decision-making: a project management and stakeholder engagement handbook. Volume 1:Concepts and tools; Volume 2: fact sheets , 2004 .

[17]  Eiichi Taniguchi,et al.  INTELLIGENT TRANSPORTATION SYSTEM BASED DYNAMIC VEHICLE ROUTING AND SCHEDULING WITH VARIABLE TRAVEL TIMES , 2004 .

[18]  Giuseppe Guido,et al.  Experimental relationships between operating speeds of successive road design elements in two-lane rural highways , 2015 .

[19]  Silvio Nocera,et al.  Assessing carbon emissions from road transport through traffic flow estimators , 2018, Transportation Research Part C: Emerging Technologies.

[20]  Cathy Macharis,et al.  Opportunities for OR in intermodal freight transport research: A review , 2004, Eur. J. Oper. Res..

[21]  Hai Wang,et al.  Pricing for a last-mile transportation system , 2018 .

[22]  Sgouris Sgouridis,et al.  Simulation-based analysis of personal rapid transit systems: service and energy performance assessment of the Masdar City PRT case , 2011 .

[23]  Kenneth K. Boyer,et al.  THE LAST MILE CHALLENGE: EVALUATING THE EFFECTS OF CUSTOMER DENSITY AND DELIVERY WINDOW PATTERNS , 2009 .

[24]  Giuseppe Guido,et al.  Investigating Car Users’ Driving Behaviour through Speed Analysis , 2017 .

[25]  Silvio Nocera,et al.  Economic Evaluation of Future Carbon Dioxide Impacts from Italian Highways , 2012 .

[26]  Silvio Nocera,et al.  Freight Modal Split Models: Data Base,Calibration Problem And Urban Application , 2006 .

[27]  Martin W. P. Savelsbergh,et al.  Dynamic ridesharing: Is there a role for dedicated drivers? , 2015 .

[28]  E. Taniguchi Concepts of City Logistics for Sustainable and Liveable Cities , 2014 .

[29]  Sumit K. Majumdar,et al.  Does new technology adoption pay? Electronic switching patterns and firm-level performance in US telecommunications , 1995 .

[30]  Jonas Flodén,et al.  Modelling Intermodal Freight Transport. The Potential of Combined Transport in Sweden , 2007 .

[31]  M. Horner,et al.  Testing a Flexible Geographic Information System-Based Network Flow Model for Routing Hurricane Disaster Relief Goods , 2007 .

[32]  Silvio Nocera,et al.  Transportation elasticity for the analysis of Italian transportation demand on a regional scale , 2008 .

[33]  Hans Quak,et al.  Evaluation of City Logistics Solutions with Business Model Analysis , 2014 .

[34]  Eiichi Taniguchi,et al.  Travel Time Reliability in Vehicle Routing and Scheduling with Time Windows , 2006 .

[35]  Illya Tolmachov,et al.  Use of the Distribution Center in the Ukrainian Distribution System , 2016 .

[36]  Gonçalo Homem de Almeida Correia,et al.  Delft University of Technology Exploring the use of automated vehicles as last mile connection of train trips through an agent-based simulation model An application to Delft, Netherlands , 2018 .

[37]  Mukesh Kumar,et al.  Identifying design criteria for urban system ‘last-mile’ solutions – a multi-stakeholder perspective , 2016 .

[38]  Adriana Gama,et al.  Own and cross-price elasticities of demand for domestic flights and intercity trains in the U.S. , 2017 .

[39]  Michael Browne,et al.  A review of the success and failure of tram systems to carry urban freight : the implications for a low emission intermodal solution using electric vehicles on trams , 2013 .

[40]  Kenneth K. Boyer,et al.  Extending the Supply Chain: How Cutting-Edge Companies Bridge the Critical Last Mile into Customers' Homes , 2004 .

[41]  Shu Yamamoto,et al.  New Subway-Integrated City Logistics Szystem , 2012 .

[42]  Mauro Dell'Amico,et al.  Innovative Logistics Model and Containers Solution for Efficient Last Mile Delivery , 2012 .

[43]  Eiichi Taniguchi,et al.  Urban Logistics by Rail and Waterways in France and Japan , 2014 .

[44]  David Banister,et al.  Integrated transport: from policy to practice , 2010 .

[45]  Dimitrios A Tsamboulas,et al.  Appraisal of investments in European nodal centres for goods – freight villages: A comparative analysis , 1999 .

[46]  Nasser A. El-Sherbeny,et al.  Vehicle routing with time windows: An overview of exact, heuristic and metaheuristic methods , 2010 .

[47]  E. Voorde,et al.  Characteristics and Typology of Last-mile Logistics from an Innovation Perspective in an Urban Context , 2011 .

[48]  P. Rietveld,et al.  Acces to railway stations and its potential in increasing rail use , 2009 .

[49]  William P. Nowak,et al.  The cross elasticity between gasoline prices and transit use: Evidence from Chicago , 2013 .

[50]  Amedeo R. Odoni,et al.  Approximating the Performance of a "Last Mile" Transportation System , 2016, Transp. Sci..

[51]  J. Bakker Increasing delivery efficiency by Cargo Hitching:a case study , 2015 .

[52]  P. Ferrari Instability and dynamic cost elasticities in freight transport systems , 2016 .

[53]  Patrick Burlat,et al.  Evaluate the viability of an Urban Consolidation Center with regards to urban morphology , 2015 .

[54]  Julian Hine,et al.  SEAMLESS, ACCESSIBLE TRAVEL: USERS' VIEWS OF THE PUBLIC TRANSPORT JOURNEY AND INTERCHANGE , 2000 .

[55]  Piet Rietveld,et al.  The Access Journey to the Railway Station and its Role in Passengers' Satisfaction with Rail Travel , 2007 .

[56]  Silvio Nocera,et al.  The Key Role of Quality Assessment in Public Transport Policy , 2011 .

[57]  Mathieu Strale,et al.  The cargo tram: Current status and perspectives, the example of Brussels , 2014 .

[58]  Vukan R Vuchic Personal Rapid Transit: An Unrealistic System , 1996 .

[59]  Yiik Diew Wong,et al.  Comparing pedestrians' needs and behaviours in different land use environments , 2013 .

[60]  Thierry Vanelslander,et al.  Cost modelling and simulation of last-mile characteristics in an innovative B2C supply chain environment with implications on urban areas and cities , 2014 .

[61]  Piet Rietveld,et al.  The accessibility of railway stations: the role of the bicycle in The Netherlands , 2000 .

[62]  Martin W. P. Savelsbergh,et al.  50th Anniversary Invited Article - City Logistics: Challenges and Opportunities , 2016, Transp. Sci..

[63]  Silvio Nocera,et al.  Demand responsive transport systems for rural areas in Germany , 2004 .

[64]  Jacques Teghem,et al.  A Particular Multiobjective Vehicle Routing Problem Solved by Simulated Annealing , 2004, Metaheuristics for Multiobjective Optimisation.

[65]  Grantham Pang,et al.  A data mining and optimization-based real-time mobile intelligent routing system for city logistics , 2013, 2013 IEEE 8th International Conference on Industrial and Information Systems.

[66]  Miguel A. Figliozzi,et al.  A Methodology to Evaluate the Competitiveness of Electric Delivery Trucks , 2013 .

[67]  J. Mageean,et al.  The evaluation of demand responsive transport services in Europe , 2003 .