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Session 1 - Montefiore

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Urban area<br />

Main types of<br />

houses<br />

Distance to city<br />

center<br />

Distance to train<br />

station<br />

“operational<br />

agglomeration”<br />

Detached houses<br />

(pretty new)<br />

6 km<br />

suburbs” “alternating migrants” “other areas”<br />

Semi-detached and<br />

terraced houses<br />

9 km<br />

Rural core, farms,<br />

detached houses<br />

17 km<br />

Detached houses<br />

(pretty old)<br />

29 km<br />

6 km 9 km 15 km 8 km<br />

Bus services Low Good Low Very low<br />

4.2 Main results and key indicators<br />

The application of the method developed in section 3 to the four representative suburban neighborhoods<br />

presented in section 4.1 gave the following results (Table 3):<br />

Table 3<br />

Index for home-to-work, home-to-school and home-to-shop-and-leisure travels<br />

Index Jambes<br />

Home-to-work<br />

kWh/worker.year<br />

Home-to-school<br />

kWh/student.year<br />

Home-to-shop and<br />

home-to-leisure<br />

kWh/person.year<br />

Studied areas (suburban neighborhoods)<br />

“operational<br />

agglomeration”<br />

Fontaine<br />

“suburbs”<br />

Rotheux<br />

Tintigny<br />

“alterning migrants” “other areas”<br />

4 646 3 945 4 782 5 785<br />

888 429 2 152 2 376<br />

599 414 1335 2 216<br />

The first main finding of the application of the method to the four case studies was that, in each case, home-<br />

to-work travels represent the most important part of the total energy consumption. Home-to-school travels,<br />

A-F. Marique and S. Reiter, A method for evaluating transport energy consumption in suburban areas,<br />

Environmental Impact Assessment Review, 2012, Vol 33(1):p1-6. 12

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