A study on the impact of a compact city policy on travel behavior and access to urban services

2021 ◽  
Vol 56 (3) ◽  
pp. 795-802
Author(s):  
Anna Tatsuno ◽  
Mihoko Matsuyuki ◽  
Fumihiko Nakamura ◽  
Shinji Tanaka ◽  
Ryo Ariyoshi
Keyword(s):  
Travel Behavior ◽  
Compact City ◽  
Urban Services ◽  
City Policy ◽  
The Impact

The Impact of Zoning and Built Environment Characteristics on Transit, Biking, and Walking

2019 ◽  
Vol 11 (1) ◽  
pp. 108-129
Author(s):  
Andrew G. Mueller ◽  
Daniel J. Trujillo
Keyword(s):  
Land Use ◽  
Built Environment ◽  
Discrete Choice ◽  
Travel Behavior ◽  
Choice Model ◽  
Mode Choice ◽  
Land Use Regulation ◽  
Policy Action ◽  
Development Goals ◽  
The Impact

This study furthers existing research on the link between the built environment and travel behavior, particularly mode choice (auto, transit, biking, walking). While researchers have studied built environment characteristics and their impact on mode choice, none have attempted to measure the impact of zoning on travel behavior. By testing the impact of land use regulation in the form of zoning restrictions on travel behavior, this study expands the literature by incorporating an additional variable that can be changed through public policy action and may help cities promote sustainable real estate development goals. Using a unique, high-resolution travel survey dataset from Denver, Colorado, we develop a multinomial discrete choice model that addresses unobserved travel preferences by incorporating sociodemographic, built environment, and land use restriction variables. The results suggest that zoning can be tailored by cities to encourage reductions in auto usage, furthering sustainability goals in transportation.

scholarly journals Extracting Road Traffic Volume in the City before and during covid-19 through Video Remote Sensing

2021 ◽  
Vol 13 (12) ◽  
pp. 2329
Author(s):  
Elżbieta Macioszek ◽  
Agata Kurek
Keyword(s):  
Travel Behavior ◽  
Traffic Management ◽  
Road Traffic ◽  
Traffic Volume ◽  
The Road ◽  
Traffic Characteristics ◽  
Annual Average Daily Traffic ◽  
On The Road ◽  
The Impact ◽  
The City

Continuous, automatic measurements of road traffic volume allow the obtaining of information on daily, weekly or seasonal fluctuations in road traffic volume. They are the basis for calculating the annual average daily traffic volume, obtaining information about the relevant traffic volume, or calculating indicators for converting traffic volume from short-term measurements to average daily traffic volume. The covid-19 pandemic has contributed to extensive social and economic anomalies worldwide. In addition to the health consequences, the impact on travel behavior on the transport network was also sudden, extensive, and unpredictable. Changes in the transport behavior resulted in different values of traffic volume on the road and street network than before. The article presents road traffic volume analysis in the city before and during the restrictions related to covid-19. Selected traffic characteristics were compared for 2019 and 2020. This analysis made it possible to characterize the daily, weekly and annual variability of traffic volume in 2019 and 2020. Moreover, the article attempts to estimate daily traffic patterns at particular stages of the pandemic. These types of patterns were also constructed for the weeks in 2019 corresponding to these stages of the pandemic. Daily traffic volume distributions in 2020 were compared with the corresponding ones in 2019. The obtained results may be useful in terms of planning operational and strategic activities in the field of traffic management in the city and management in subsequent stages of a pandemic or subsequent pandemics.

Using Deep Learning to Understand Travel Demands in Different Urban Districts

2021 ◽  
pp. 036119812199458
Author(s):  
Shunhua Bai ◽  
Junfeng Jiao
Keyword(s):  
Built Environment ◽  
Travel Behavior ◽  
Prediction Accuracy ◽  
Travel Demand ◽  
Short Term Memory ◽  
Future Research ◽  
Demand Forecast ◽  
Time And Space ◽  
The University ◽  
The Impact

Travel demand forecast plays an important role in transportation planning. Classic models often predict people’s travel behavior based on the physical built environment in a linear fashion. Many scholars have tried to understand built environments’ predictive power on people’s travel behavior using big-data methods. However, few empirical studies have discussed how the impact might vary across time and space. To fill this research gap, this study used 2019 anonymous smartphone GPS data and built a long short-term memory (LSTM) recurrent neural network (RNN) to predict the daily travel demand to six destinations in Austin, Texas: downtown, the university, the airport, an inner-ring point-of-interest (POI) cluster, a suburban POI cluster, and an urban-fringe POI cluster. By comparing the prediction results, we found that: the model underestimated the traffic surge for the university in the fall semester and overestimated the demand for downtown on non-working days; the prediction accuracy for POI clusters was negatively related to their adjacency to downtown; and different POI clusters had cases of under- or overestimation on different occasions. This study reveals that the impact of destination attributes on people’s travel demand can vary across time and space because of their heterogeneous nature. Future research on travel behavior and built environment modeling should incorporate the temporal inconsistency to achieve better prediction accuracy.

scholarly journals ‘Protecting Life in Global Health Assistance’? Towards a framework for assessing the health systems impact of the expanded Global Gag Rule

2019 ◽  
Vol 4 (5) ◽  
pp. e001786 ◽  
Author(s):  
Marta Schaaf ◽  
Emily Maistrellis ◽  
Hana Thomas ◽  
Bergen Cooper
Keyword(s):  
Global Health ◽  
Mexico City ◽  
Health Systems ◽  
Grey Literature ◽  
Policy Changes ◽  
Us Government ◽  
Potential Impact ◽  
City Policy ◽  
The Impact ◽  
Initial Research

During his first week in office, US President Donald J Trump issued a presidential memorandum to reinstate and broaden the reach of the Mexico City policy. The Mexico City policy (which was in place from 1985–1993, 1999–2000 and 2001–2009) barred foreign non-governmental organisations (NGOs) that received US government family planning (FP) assistance from using US funds or their own funds for performing, providing counselling, referring or advocating for safe abortions as a method of FP. The renamed policy, Protecting Life in Global Health Assistance (PLGHA), expands the Mexico City policy by applying it to most US global health assistance. Thus, foreign NGOs receiving US global health assistance of nearly any type must agree to the policy, regardless of whether they work in reproductive health. This article summarises academic and grey literature on the impact of previous iterations of the Mexico City policy, and initial research on impacts of the expanded policy. It builds on this analysis to propose a hypothesis regarding the potential impact of PLGHA on health systems. Because PLGHA applies to much more funding than it did in its previous iterations, and because health services have generally become more integrated in the past decade, we hypothesise that the health systems impacts of PLGHA could be significant. We present this hypothesis as a tool that may be useful to others’ and to our own research on the impact of PLGHA and similar exogenous overseas development assistance policy changes.

scholarly journals Commuter Response to Traffic Information on an Incident

1998 ◽  
Vol 1621 (1) ◽  
pp. 36-42 ◽  
Author(s):  
Ronald Koo ◽  
Youngbin Yim
Keyword(s):  
San Francisco ◽  
Travel Behavior ◽  
San Francisco Bay Area ◽  
Traffic Information ◽  
Behavior Changes ◽  
Bay Area ◽  
Telephone System ◽  
Changes Over Time ◽  
The Impact ◽  
Insight Into

How traffic information is obtained and how it affects travel behavior when a major freeway is congested are presented and discussed. Immediately following a major highway incident south of San Francisco that caused congestion, a telephone survey was conducted of commuters who use the affected corridor of the highway. The behavior of commuters before and during their commute at the time of the incident was determined, including obtaining traffic information and how the information influenced changes in route, mode of travel, and departure time. The results of the survey suggest that traveler behavior is largely unaffected by individual incidents of congestion. Furthermore, although a fair proportion of commuters do obtain traffic information, they do not often modify their travel behavior in response. This study is one of several that collectively will provide insight into how travel behavior changes over time and allow the authors to assess the impact of TravInfo Traveler Advisory Telephone System in the San Francisco Bay Area.

scholarly journals Commuting for work and neighbourhood energy consumption

2021 ◽  
Author(s):  
Dil Rowshan
Keyword(s):  
Energy Consumption ◽  
Comparative Analysis ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Travel Behavior ◽  
Active Transportation ◽  
Before And After ◽  
Motorized Vehicles ◽  
The Impact ◽  
Growth Centres

This study aimed to explore the impact of the Places to Grow Plan 2006 on travel behavior of the work commuters living in GTHA. A comparative analysis was done between the year 2001 and 2011 which represent the situations five year before and after the implementation of the Plan. Data were collected from Transportation Tomorrow Survey. The study revealed that in 2011, energy consumption by motorized vehicles increased in the Traffic Assessment Zones of GTHA around the Growth Centres designated by the Places to Grow Plan. Active transportation increased mainly in Toronto in 2011. It is apprehended that the intensification strategy of the Places to Grow Plan contributed in increasing the energy consumption of work commuters either by increasing the number of trips or length of trips made by motorized vehicles (including cars and different forms of transit) which also affect the Greenhouse Gas emissions in the atmosphere.

Speculation and Resistance: Constraints on Compact City Policy Implementation in Melbourne

2011 ◽  
Vol 29 (4) ◽  
pp. 343-362 ◽  
Author(s):  
Ian Woodcock ◽  
Kim Dovey ◽  
Simon Wollan ◽  
Ian Robertson
Keyword(s):  
Policy Implementation ◽  
Compact City ◽  
City Policy

Quantifying the Impact of the COVID-19 Pandemic on Passenger Vehicle Drivers’ Willingness to Pay for Travel Time Savings and Reliability

2021 ◽  
pp. 036119812110388
Author(s):  
Tristan Cherry ◽  
Mark Fowler ◽  
Claire Goldhammer ◽  
Jeong Yun Kweun ◽  
Thomas Sherman ◽  
...  
Keyword(s):  
Willingness To Pay ◽  
Travel Time ◽  
Travel Behavior ◽  
Local Governments ◽  
Consumer Preferences ◽  
Stated Preference ◽  
Travel Time Reliability ◽  
Travel Time Savings ◽  
Time Savings ◽  
The Impact

The COVID-19 pandemic has fundamentally disrupted travel behavior and consumer preferences. To slow the spread of the virus, public health officials and state and local governments issued stay-at-home orders and, among other actions, closed nonessential businesses and educational facilities. The resulting recessionary effects have been particularly acute for U.S. toll roads, with an observed year-over-year decline in traffic and revenue of 50% to 90% in April and May 2020. These disruptions have also led to changes in the types of trip that travelers make and their frequency, their choice of travel mode, and their willingness to pay tolls for travel time savings and travel time reliability. This paper describes the results of travel behavior research conducted on behalf of the Virginia Department of Transportation before and during the COVID-19 pandemic in the National Capital Region of Washington, D.C., Maryland, and Northern Virginia. The research included a stated preference survey to estimate travelers’ willingness to pay for travel time savings and travel time reliability, to support forecasts of traffic and revenue for existing and proposed toll corridors. The survey collected data between December 2019 and June 2020. A comparison of the data collected before and during the pandemic shows widespread changes in travel behavior and a reduction in willingness to pay for travel time savings and travel time reliability across all traveler types, particularly for drivers making trips to or from work. These findings have significant implications for the return of travelers to toll corridors in the region and future forecasts of traffic and revenue.

Sign in / Sign up

Export Citation Format

Share Document