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Urban and Freight Transport Logistics

Urban and Freight Transport Logistics is a research topic within Building and Construction. Science Explorer counts 22k research works in it since 1950. 21.0% of them reached the world's top 10% most cited for their field and year.

This cluster of papers explores the challenges and innovations in urban logistics systems, with a focus on last mile delivery, city logistics, urban freight transport, e-commerce, sustainability, crowdsourcing, supply chain, parcel lockers, transportation modeling, and environmental impacts. The research covers topics such as evaluating city logistics measures, sustainable freight transportation, crowdshipping, and the impact of e-commerce on urban freight activity.

  • Last Mile Delivery
  • City Logistics
  • Urban Freight Transport
  • E-commerce
  • Sustainability
  • Crowdsourcing
  • Supply Chain
  • Parcel Lockers
  • Transportation Modeling
  • Environmental Impacts
Research works
22k
fractional, since 1950
In the world top 10%
4.6k
per year above
Top-10% rate
21.0%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+43%
the tick is no change

Which countries lead Urban and Freight Transport Logistics research?

By volume, China and the United States publish the most (1.1k and 440 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 1.1k works
  2. 2 United States 440 works
  3. 3 India 255 works
  4. 4 Germany 251 works
  5. 5 France 242 works
  6. 6 Türkiye 215 works
  7. 7 Indonesia 191 works
  8. 8 Italy 171 works
  9. 9 United Kingdom 160 works
  10. 10 Brazil 135 works

How concentrated that is

The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.

China: 35.6%United States: 13.8%India: 8.0%Germany: 7.8%6 others listed: 34.8%36%largest
China1,142 · 35.6%United States440 · 13.8%India255 · 8.0%Germany251 · 7.8%6 others listed1,115 · 34.8%

Shares of the rows listed above, not of the whole node.

Which institutions lead Urban and Freight Transport Logistics research?

By volume in 2022–2025, Beijing Jiaotong University publishes the most Urban and Freight Transport Logistics research, followed by Shanghai Maritime University and Delft University of Technology.

Who are the leading researchers in Urban and Freight Transport Logistics?

The most-cited researchers publishing on Urban and Freight Transport Logistics include Moshe Ben‐Akiva, Joseph Sarkis and Gilbert Laporte.

  1. 1 Moshe Ben‐Akiva United States 2.9k citations
  2. 2 Joseph Sarkis United States 2.5k citations
  3. 3 Gilbert Laporte Canada 2.4k citations
  4. 4 Pétros Ioannou United States 2.4k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

Where is Urban and Freight Transport Logistics research done?

The largest centres of Urban and Freight Transport Logistics research in 2022–2025 are Beijing (China), Shanghai (China), Nanjing (China) and Istanbul (Türkiye). Among places with at least 20 works in it, it is an unusually large share of all research in Champs-sur-Marne and Delft.

Largest cities, 2022–2025

  1. 1 Beijing China 228 works
  2. 2 Shanghai China 113 works
  3. 3 Nanjing China 70 works
  4. 4 Istanbul Türkiye 61 works
  5. 5 Wuhan China 55 works
  6. 6 Chengdu China 50 works
  7. 7 Dalian China 49 works
  8. 8 Xi'an China 48 works
  9. 9 Hong Kong China 38 works
  10. 10 London United Kingdom 37 works

Where it is the local speciality

  1. Champs-sur-MarneFR · 33.7 works25×
  2. DelftNL · 30.3 works7.3×
← less than its size predictsmore →

Location quotient: how much more of its research is in Urban and Freight Transport Logistics than the world average.

See Urban and Freight Transport Logistics on the map

Where is the best place to study Urban and Freight Transport Logistics?

Among universities, judged by research, Delft University of Technology, Hong Kong Polytechnic University and Beijing Jiaotong University score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.

0%20%40%mean 28.5%fractional works in this node (log) →share in the world top 10% →Delft University of Technology: 28, 29.6%Hong Kong Polytechnic University: 24, 43.6%Beijing Jiaotong University: 61, 14.2%Shanghai Maritime University: 30, 25.8%Dalian Maritime University: 27, 26.9%University of Reggio Calabria: 11, 41.5%University of Žilina: 14, 11.2%Universidad Politécnica de Madrid: 10, 42.9%University of Antwerp: 14, 31.7%Université Gustave Eiffel: 17, 17.6%Hong Kong Polytechni…Delft University of …Shanghai Maritime Un…Beijing Jiaotong Uni…
above the meannear itbelow it

One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.

#UniversityScoreTop 10%SpecialisationWorksGrowth
1 Delft University of TechnologyNetherlands 60.029.6%7.8×28 +61.5%
2 Hong Kong Polytechnic UniversityHong Kong 58.643.6%5.1×24 -19.4%
3 Beijing Jiaotong UniversityChina 56.714.2%18.8×61 +0.1%
4 Shanghai Maritime UniversityChina 56.425.8%23.0×30 +4.6%
5 Dalian Maritime UniversityChina 56.126.9%13.9×27 +11.5%
6 University of Reggio CalabriaItaly 55.541.5%31.0×11 -26.9%
7 University of ŽilinaSlovakia 54.211.2%23.0×14 +406.8%
8 Universidad Politécnica de MadridSpain 53.842.9%5.9×10 +113.6%
9 University of AntwerpBelgium 53.131.7%8.8×14 -14.1%
10 Université Gustave EiffelFrance 51.917.6%23.6×17

Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.

Is Urban and Freight Transport Logistics research growing?

Output in 2018–2022 was 43% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Urban and Freight Transport Logistics.

19801990200020102020
grewheldshrank

The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.

Which topics inside it are moving

Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.