Impact of last mile parking availability on commercial vehicle costs and operations

ABSTRACT Logistics, queuing and optimisation models are combined to study the impact of last-mile parking availability on commercial vehicle costs and operations. Parking availability levels affect commercial vehicle parking costs and operations and has an impact on route characteristics and commercial vehicle fleet sizes. The magnitude of the parking availability impacts on costs is a function of customer and route characteristics. Elasticity values indicates that only a few variables have a significant impact on commercial vehicle parking behaviour. Productivity improvements like service time reductions may result in undesirable changes in commercial vehicle parking behaviour.

[1]  Miguel A. Figliozzi,et al.  A Study of the Impacts of Commercial Vehicle Parking Availability on Service Costs and Double Parking Behavior , 2015 .

[2]  Miguel A. Figliozzi,et al.  Analysis of Competitiveness of Freight Tricycle Delivery Services in Urban Areas , 2014 .

[3]  Khandker Nurul Habib,et al.  Truck parking in urban areas: Application of choice modelling within traffic microsimulation , 2014 .

[4]  Miguel A. Figliozzi,et al.  Impacts of Congestion on Commercial Vehicle Tour Characteristics and Costs , 2010 .

[5]  Mark J. Kay,et al.  Getting the Goods Delivered in Dense Urban Areas: A Snapshot of the Last Link of the Supply Chain , 1999 .

[6]  Joseph Ying Jun Chow,et al.  A downtown on-street parking model with urban truck delivery behavior , 2017 .

[7]  Julian Allen,et al.  A framework for considering policies to encourage sustainable urban freight traffic , 2000 .

[8]  Quanquan Chen,et al.  Commercial Vehicle Parking Availability and Behavior for Residential Delivery in New York City , 2016 .

[9]  Adam Millard-Ball,et al.  Is the Curb 80% Full or 20% Empty? Assessing the Impacts of San Francisco's Parking Pricing Experiment , 2014 .

[10]  José Holguín-Veras,et al.  Parking in the City , 2013 .

[11]  Miguel A. Figliozzi,et al.  Analysis of the efficiency of urban commercial vehicle tours: Data collection, methodology, and policy implications , 2007 .

[12]  Matthew J. Roorda,et al.  Disaggregate Analysis of Relationships between Commercial Vehicle Parking Citations, Parking Supply, and Parking Demand , 2015 .

[13]  Christian Ambrosini,et al.  Methodology, evaluation, simulation and assessment for the analysis of the deployment of DSB and EEIC systems of the FREILOT project Contribution of LET , 2012 .

[14]  Miguel A. Figliozzi,et al.  Planning Approximations to the Average Length of Vehicle Routing Problems with Varying Customer Demands and Routing Constraints , 2008 .

[15]  Jesús González-Feliu,et al.  Assessing the impacts of goods deliveries’ double line parking on the overall traffic under realistic conditions , 2016, ICIS 2016.

[16]  Julian Allen,et al.  Understanding urban freight activity – key issues for freight planning , 2012 .

[17]  Carlos F. Daganzo,et al.  Logistics Systems Analysis , 1991 .

[18]  Alain L. Kornhauser,et al.  Relationship of Freight Facilities in Central Business District Office Buildings to Truck Traffic , 2000 .

[19]  Pablo Cortés,et al.  City logistics in Spain: Why it might never work , 2012 .

[20]  Jesus Gonzalez-Feliu,et al.  Impacts of Proximity Deliveries on e-Grocery Trips , 2012 .

[21]  Eiichi Taniguchi,et al.  Planning On-Street Loading-Unloading Spaces Considering the Behaviour of Pickup-Delivery Vehicles and Parking Enforcement , 2006 .

[22]  André Langevin,et al.  CONTINUOUS APPROXIMATIONA MODELS IN FREIGHT DISTRIBUTION: AN OVERVIEW , 1996 .