Crowdshipping (CS) is an emerging form of freight transport that expected to reduce the externalities urban transport. The supply CS services originates from people with intention travel, who can choose engage in a parcel delivery service as incidental carrier. popular expectation this consolidation and passenger trips could save thus alleviate congestion environmental pollution. A key challenge prediction volumes impacts, however, match existing demand supply. This has not yet been...

The fast growth of e-commerce in urban areas has led to a surge last-mile transportation demand and an associated increase external effects: congestion, noise visual pollution. This paper analyses new freight transport service that potential reduce this footprint: crowdshipping. Crowdshipping is where package delivered via traveller who already making personal trip for other purposes. decision whether or not use crowdshipping known be subject various service, time price conditions, including...

A growing body of empirical urban economic studies suggests that agglomeration and accessibility externalities are important sources the uneven distribution activities across cities regions. At same time, little is known about importance economies for actual location behavior firms. This remarkable, since theories underlie microeconomic in nature. In a case study Dutch province South-Holland, we analyze micro level data to determine extent which relocation decisions dependent on (when...

Urban planners face a few challenges in making urban freight transport more sustainable: reduce congestion, provide reliable delivery windows, decrease logistic costs, emissions, improve safety. New data may key tackling these issues. This paper presents an agent-based modeling framework: MASS-GT. Objective of the project is to develop comprehensive simulation framework that describes decision context planning. Empirical basis provided by large dataset with observed for The Netherlands. Part...

Reducing emissions caused by urban freight transportation is an increasingly important policy objective for planners around the world. New and innovative ways of data collection provide new possibilities to analyze these issues. In this paper we present MASS-GT, a multi-agent simulation system goods transport. The empirical basis provided exceptionally large dataset truck trip travel diaries Netherlands that was collected from management systems using automated interface. very dense includes...

As part of a broader vision for emission-free city logistics, the Rotterdam plans to introduce zero-emission zone in combination with urban consolidation centers (UCCs) on outskirts generate shift vehicles. For design this zone, several research questions arise that require systematic analysis impacts transition scenarios freight demand patterns, use and market shares new (zero-emission) vehicles, truck flow emissions. case study, we implemented heterogenous each logistic segment into...

This paper describes the empirical results of estimation discrete choice models for location decision moving firms in a spatial disaggregated environment. Systematic sets are applied to account context each relocated firm. Each alternative is described by set attributes, including accessibility variables and migration distance between origin firm alternative. The analyzed categorized their mobility profile. These profiles homogeneous groups with similar characteristics. estimated on an...

Understanding the logistic determinants of freight trips is an important goal in transport modeling. Freight shipments move between nodes supply chain for different purposes, including production, storage, transshipment, and consumption. A key problem with data availability that databases generally do not identify these given commercial sensitivity data. In addition, information on senders receivers often prohibitively costly. Therefore, one challenges analysis to trip purposes using fusion,...

A large part of freight transport movements are a multimodal chain, in particular for port-related containerized flows. Because data transports unavailable it is challenging to develop chain models. This paper describes the development new module chains modelling container within Dutch strategic model "BasGoed". The choice distinguishes unimodal, bi-modal or tri-modal chains, depending on whether port-related. direct road available between each production and consumption combination; barge...

This paper describes the empirical results of estimation discrete choice models for location decision moving firms in a spatial disaggregated environment. Systematic sets are applied to account context each relocated firm. Each alternative is described by set attributes, including accessibility variables and migration distance between origin firm alternative. The analyzed categorized their mobility profile. These profiles homogeneous groups with similar characteristics. estimated on an...

Crowdsourced shipping or crowdshipping is a promising solution to sustainable parcel delivery, owing the potential consolidate freight trips with preexisting passenger trips. Previous literature focuses on these consolidation benefits but does not address possibility of new activity generation in crowdshipping. In this study, we investigate willingness private persons accept shipments based newly generated home-based trip. We compare choices occasional carriers who build daily home–work...

Firm location is an important component in integrated land use and transport models. However, representation of firm behavior locations often too aggregated to model adequately. A calibrated simulation approach that models dynamics the population at level individual firms presented. number demographic events transitions state are simulated: migration, growth, formation, dissolution. This provides opportunity account for firm-specific allows a large variety responses changes urban...