The auto versus transit controversy: Toward a rational synthesis for urban transportation policy

1984 ◽  
Vol 18 (2) ◽  
pp. 125-133 ◽  
Author(s):  
Vukan R. Vuchic
2020 ◽  
Vol 22 (3) ◽  
pp. 409-417
Author(s):  
Muhammad Zainal Ibad ◽  
Rahayu Sulistyorini ◽  
Chania Rahmah

Congestion in urban areas is vulnerable because of the impact of the growth of activities and an increasingly specialized and complex economy. For this reason, it is necessary to formulate a good urban transportation policy to accommodate increased urban transportation needs. Google Traffic is a feature found on Google Maps to see the level of congestion in an area. Google Traffic can detect an area with red, yellow or green indications through the principle of Real Time Data using data from the Global Positioning System (GPS). This study wanted to see how the use of the Google Traffic Feature as input to urban transportation policies by looking at existing urban transportation policies, analyzing the movement system model on Google Traffic, and analyzing the development of Google Traffic model policies, which would be useful for the development of Urban Transportation Policies, especially Bandar Lampung City as a case study.


2017 ◽  
Vol 2 (1) ◽  
pp. 39
Author(s):  
Ratna Budiarti ◽  
Moh. Nurhadi

What and why transportation, climate change, and gender are connected?  What is the implication of transportation policy, program and plan (PPP) to gender equality and vice versa? This article aimed to construct it in the context of urban transportation in Semarang City where transportation contributes more than 50% of GHG emissions. This research investigated the relation of transportation, climate change, and gender by interviewing and exploring transportation users through a multistage random sampling. The respondents are divided into urban zones namely inner, suburb, and outskirt with a balanced number of men and women respondents in order to give equal information. The results showed three interesting findings. First, women and men have different travel patterns. Women’s preference for travelling implies more efficient energy consumption. Second, women have a higher dependency on public transport than men due to their limited transportation access (ownership and use). At the household level, men have a dominant role in determining transportation mode, type, and ownership of private vehicles. It influences the choice of transportation mode and the way women ride vehicle. Third, the differences of travel pattern and transportation between men and women implied to GHG emissions contribution. Participation of women in the design of transportation policy, program, and the plan will give a better impact on the transportation system and climate change as well as for women access to transportation. 


Sign in / Sign up

Export Citation Format

Share Document