<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">JSS</journal-id><journal-title-group><journal-title>Open Journal of Social Sciences</journal-title></journal-title-group><issn pub-type="epub">2327-5952</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/jss.2015.35015</article-id><article-id pub-id-type="publisher-id">JSS-56511</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Business&amp;Economics</subject><subject> Social Sciences&amp;Humanities</subject></subj-group></article-categories><title-group><article-title>
 
 
  Climate Change Effects on Policing in Delta State, Nigeria
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>unday</surname><given-names>I. Efe</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Alex</surname><given-names>Eyefia</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Department of Geography and Regional Planning, Delta State University, Abraka, Nigeria</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>efesundayighovie@gmail.com(UIE)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>08</day><month>05</month><year>2015</year></pub-date><volume>03</volume><issue>05</issue><fpage>103</fpage><lpage>111</lpage><history><date date-type="received"><day>16</day>	<month>April</month>	<year>2015</year></date><date date-type="rev-recd"><day>accepted</day>	<month>19</month>	<year>May</year>	</date><date date-type="accepted"><day>22</day>	<month>May</month>	<year>2015</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  The study assesses the effects of climate change on police operation in Delta state. To achieve this climate, data were extracted from the archives of the Nigerian Meteorological Agency and the Met Station of the Department of Geography Delta State University Abraka, and police operation data were collected from the archive of the police diary at the state police headquarter. The results showed an evidence of climate change in delta state with a rise of 3
  <sup>o</sup>C in temperature, and decadal rainfall increase of 120 mm; 56 mm and 121 mm in three epochs (1975-1984, 1985-1994 and 1995-2014). The first and last decades are wetter than the second epoch. There is a general increase in annual Police and vigilant operations from 1975 to 2014 and their operations are significantly dependent on increase in rainfall and rise in temperature. Thus increase in rainfall and rise in temperature bring corresponding reduction in police and local vigilante operations in the state. It therefore recommended that federal and state government should provide rain coat, safety boot, umbrella, good vehicles to police on duty; and police and vigilante should embark on regular patrol be it raining or sunny day. This is because crimes (breaking and entry, armed robbery etc.) increase when it is raining heavily.
 
</p></abstract><kwd-group><kwd>Rainfall</kwd><kwd> Temperature</kwd><kwd> Highway Patrol</kwd><kwd> Street Patrol</kwd><kwd> Vigilante Patrol</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Climate change threat and vulnerability did not only transcend one continent to another, but from one country to another, and even amongst communities. Despite its disproportionate impact over the world, most studies on climate change and security have originated from developed countries. Upon this regard, discussing security impacts of climate change in Nigeria is crucial, based partly on two factors. Firstly, the dynamics of its internal security and stability of Nigeria has regional and continental ramifications because Nigerian constitutes about 20% of the population of sub-Saharan Africa. Secondly, the country is bedevilled with high poverty and unemployment rate, wide income and gender inequality, prevalence of diseases (HIV/AIDS and malaria), endemic corruption, and the existence of separatist and militant groups, negative which are human development indices. This prevailing situation foregrounds much of the internal security complex and dynamics that climate change is set to trigger or exacerbate in Nigeria. Climate change has become one of the most challenging global issues facing humanity and certain urban characteristics that have relevance for understanding risks from climate and weather hazards [<xref ref-type="bibr" rid="scirp.56511-ref1">1</xref>] . This issue is particularly salient today given the growing consensus among criminologists and law enforcement officials on the benefits of highly targeted crime prevention strategies that focus police resources on “hot spots” and “hot times” rather than relying on more broad-based interventions. [<xref ref-type="bibr" rid="scirp.56511-ref2">2</xref>] emphasized the importance of specific times and locations that bring together likely offenders, suitable targets and the absence of capable guardians, resulting in extremely high crime rates. Given its strong impact on current period crime, weather conditions may be a plausible instrument for identifying the impact of lagged crime on current police activity.</p><p>The effect that changing weather conditions have on criminal and aggressive behaviour has long been a subject of interest both to scientists and the lay public. For instance weather hazards can triggers negative emotional responses’ [<xref ref-type="bibr" rid="scirp.56511-ref3">3</xref>] . Weather influence on suicide rates has been documented see [<xref ref-type="bibr" rid="scirp.56511-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.56511-ref5">5</xref>] . While those on weather and crime are widely scattered in different journals and disciplines and have never before been collected into a comprehensive literature review [<xref ref-type="bibr" rid="scirp.56511-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.56511-ref7">7</xref>] . However, the relationship between weather and crime and criminal behaviour was not studied seriously, until the 1960s, after a series of riots in the United States sparked a popular belief that the causal factor was the summer heat. This belief was reinforced when the United States Riot Commission published a report showing that the majority of riots in 1967 began on days when the temperature was over 80˚ F. Since then, a number of researchers have focused their efforts on studying the relationship between high ambient temperatures and aggressive behaviour. A few studies have also examined other weather conditions, including precipitation, sunlight, wind, and humidity, and points to the fact that as crime rate increases, the need for increase of police response to the crime challenges increases. But their studies were limited to advanced countries to the neglect of developing nations, and only to two variables, and not on multivariate studies. However [<xref ref-type="bibr" rid="scirp.56511-ref8">8</xref>] opined ‘that crime rate are significantly depended on climate variability in the metropolis that is the wave of larceny, armed robbery, rape, murder and manslaughter increases with increase in rainfall and temperature. Also while larceny, robbery, rape correlated significantly with rainfall, murder correlated significantly with daily temperature. The high positive correlation of rainfall with larceny, armed robbery and rape is due to the fact that whenever it is raining the hoodlums set out for their operation and the sound of the rain fall always prevent the residents from hearing the footsteps of the criminals, and call for correlation study of climate and police operation in Nigeria.</p><p>It has been reported that when police suddenly leaves duty (that is the absence of police from checkpoints) there is likely to be an increase in crime [<xref ref-type="bibr" rid="scirp.56511-ref9">9</xref>] . Despite this the factors of criminal activity have received little of attention. And weather is one of such factors that affects criminal activity. However there is dearth of information on this because of little literature that has empirically investigated this relationship and mostly supports the conclusion that weather has a causal effect on criminal activity [<xref ref-type="bibr" rid="scirp.56511-ref8">8</xref>] .</p><p>Delta State being an oil producing state, with huge commercial development in Asaba, Warri, Ughelli, Sapele, Agbor and Abraka, has lead to increased population and urbanization problems of housing, migration, robbery, Kidnapping etc in the state. This has increase the state monetary involvement in security operation. Because security is still often considered as primarily responsibility of state and federal government, this misses the truth that insecurity is a personal experience characterized by absence: absence of protection; of paths to redress grievance; of fair access to resources; and of rights. These insecurities are barriers to development and contribute to cycles of violence that prevent people leading safe, fulfilling and dignified lives. And climate variability has played a significant role in the process of development of these problems in the state. Succinctly, climatic variation has an effect in the monetary policy on security and police activities. However, the underlying problems of climatic variation in Delta State are flooding, storms, increased precipitation and high temperature, and according to [<xref ref-type="bibr" rid="scirp.56511-ref8">8</xref>] these have resulted in increase criminal activities in the state. This is manifested in form of severe weather (scorching sunshine and torrential downpour) that affects most police operations, and thus presents threat of injury to personnel, damaging equipment and structures, limiting ground and air mobility and air operations, and threatening troop morale. Electrical storms often accompany severe weather conditions and add the hazard of lightning strikes at munitions storage areas and fuelling points. Lightning also may interrupt landline communications and both communication and non-communication use of the electromagnetic spectrum.</p><p>Similarly, another climatic problem in Delta State is low visibility which is beneficial to offensive and retrograde operations and detrimental to defensive operations. In the offense, it conceals the concentration of maneuver or friendly forces, thus enhancing the possibility of achieving the element of surprise. Low visibility hinders the defense because cohesion and control become difficult to maintain, reconnaissance and surveillance are impeded, and target acquisition is less accurate. Smoke and obscurant aerosols can be expected on medium-intensity to high-intensity battlefields and may be used locally to reduce visibility. In all operations, obscurants limit the use of aircraft and aerial optical and infrared surveillance devices. Also effort levels of police officers may change depending on weather. Officers in the hot condition reported more aggressive and threatening impressions of the suspect, and were more likely to draw their weapon and shoot the simulated suspect. Concisely, climate effects on crime cannot be undermined. For instance, when it is raining, police may not decide to do a foot patrol. The temperament of police officers may also be affected by scorching weather. Increased temperatures may increase police aggression resulting in more arrests. Despite the problems studies in this area have been grossed over, thus there is a relative neglect of establishing the relationship between climate and policing. Based on this problem and neglect this study assesses the effects of climate change on police operation in Delta state.</p></sec><sec id="s2"><title>2. Methods of Data Collection</title><p>The data used for this study were extracted from the archives of the Nigeria Meteorological Agency (NIMET), Nigeria Police headquarter, diary of the State head of Vigilante in Asaba from 1975-2014. The choice of these years is based on consistence, continuity, availability and wiliness to release of police operation and vigilante’s data. Upon this same period of data was used for climate data. The climate data were collected from the archives of NIMET Warri, and MET Station of the Department of Geography and Regional Planning, Delta State University Abraka and were averaged and used for the study. Also field assistants who stayed close to area of checkpoints were used to obtain police and army checkpoints availability during rainy day and sunny day (see <xref ref-type="fig" rid="fig1">Figure 1</xref>), and also interview 18 officers (3 policemen at each major road where there are checkpoints) on</p><fig id="fig1"  position="float"><label><xref ref-type="fig" rid="fig1">Figure 1</xref></label><caption><title> Distribution of roads in Delta state</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/10-1760481x5.png"/></fig><p>checkpoints on the effects of rainfall and scorching weather on their activities. This corroborates [<xref ref-type="bibr" rid="scirp.56511-ref8">8</xref>] . Regression analysis was used to establish the effect of climate on police and vigilante operation in line with [<xref ref-type="bibr" rid="scirp.56511-ref10">10</xref>] .</p></sec><sec id="s3"><title>3. Results and Discussion</title><p>The data obtained for the study are presented in Tables 1-10 and Figures 2-4, and discussed below.</p><p><xref ref-type="fig" rid="fig2">Figure 2</xref> showed an annual mean of 3051 mm and 29.6˚C for rainfall and temperature respectively, with three rainfall epochs 1975-1984 (2980 mm - 3100 mm), 1985-1994 (3034 - 3090 mm), and 1995-2014 (3007 - 3128 mm). This showed an increase of 120 mm; 56 mm and 121 mm in these epochs, and indicates that the first and last decades are wetter than the second epoch. This revealed an evidence of climate change in the state. Also <xref ref-type="fig" rid="fig2">Figure 2</xref> showed 30˚C mean annual temperature which span 28˚C to 31˚C, indicating a rise of 3˚C over the past 30 years in the state. Temperature also showed three epochs 1975-1984 (28˚C - 29.6˚C), 1985-1994 (29.5˚C - 30.9˚C) and 1995-2014 (30˚C - 31˚C), with a warming of 1.6˚C, 1.4˚C and 1˚C, and showed a decadal change in</p><p>temperature. This is also an evidence of climate change. Rainfall and temperature revealed 0.69 and 0.64 corre-lation value, both indicate an upward trend from 1975-2014. This however corroborated [<xref ref-type="bibr" rid="scirp.56511-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.56511-ref12">12</xref>] . The increase in rainfall from 1995-2014 coincide with those of police and vigilante deployment to street/roads in the state (see <xref ref-type="fig" rid="fig3">Figure 3</xref>).</p><p>The mean annual deployment of police and vigilante to various street/roads in Delta state showed a general increase from 1975 to 2014 with annual mean of 712, 51 and 447 respectively for street/road patrol, police investigation and vigilante deployment (see <xref ref-type="fig" rid="fig3">Figure 3</xref>). <xref ref-type="fig" rid="fig3">Figure 3</xref> showed clearly an upward trend in the number of street patrol by police, police criminal investigation and vigilante patrol in the street, with 0.97, 0.67 and 0.66 correlation values with the years respectively. This indicates that as the year’s increases there is upward increase</p><fig id="fig2"  position="float"><label><xref ref-type="fig" rid="fig2">Figure 2</xref></label><caption><title> Distribution of rainfall (mm) and temperature (˚C)</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/10-1760481x6.png"/></fig><fig id="fig3"  position="float"><label><xref ref-type="fig" rid="fig3">Figure 3</xref></label><caption><title> Mean distribution of police and vigilante deployed</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/10-1760481x7.png"/></fig><fig id="fig4"  position="float"><label><xref ref-type="fig" rid="fig4">Figure 4</xref></label><caption><title> Mean number of checkpoints</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/10-1760481x8.png"/></fig><p>in police operation in the state. The increased according to the police officers interviewed is as a result of population increase over the years which precipitate increase in criminality in the state, as well as variation in rainfall and temperature over the years [<xref ref-type="bibr" rid="scirp.56511-ref8">8</xref>] . Their result revealed that crime rate in Warri metropolis, are significantly depended on climate variability, and that the wave of larceny, armed robbery, rape, murder and manslaughter increases with increase in rainfall and temperature. Also there frequent reported cases of armed robbery, murder and kidnapping along Agbor Sapele roads, Abgor-Asaba, Ughelli-Asaba and along DSC express way when it is raining, during festive periods (Christmas, new year celebration), and electioneering period were some politicians commit heinous crimes to secure elective post, as such more police officers are deployed to these roads [<xref ref-type="bibr" rid="scirp.56511-ref8">8</xref>] .</p><p>The monthly rainfall, temperature and police and vigilante operation are shown in <xref ref-type="table" rid="table1">Table 1</xref>. It showed clearly that the months with the highest rainfall values of 411 mm and 421 mm (July and September) coincides with the months with the lowest police highway patrol, street patrol, police investigation and vigilante operation. This showed that as rainfall increases, there reduction in the number of street and high patrol, and criminal investigation by police officers in the state. This confirmed the earlier view of [<xref ref-type="bibr" rid="scirp.56511-ref8">8</xref>] . They opined that the high positive correlation of rainfall with larceny, armed robbery and rape is due to the fact that whenever it is raining, the hoodlums set out for their operation and the sound of the rain fall always prevent the residents from hearing the footsteps of the criminals. Also the Vigilante are trapped by the rain and flood pondages, as such there is no proper surveillance, as such there is reduced deployment of police and vigilante.</p><p>Generally high numbers of policemen were deployed for checkpoints under sunny days than a rainy day. <xref ref-type="table" rid="table2">Table 2</xref> and <xref ref-type="fig" rid="fig4">Figure 4</xref> indicate a total of 64 checkpoints with police officers compared to only 11 checkpoints when it is raining. Other details are listed on <xref ref-type="table" rid="table3">Table 3</xref>. The functional checkpoints on these roads are the one mounted by the Nigeria Army, who maintains continuous watched, stop and checks on the road be it raining or sunny. For instance there are 3 permanent army checkpoints on Eku-Warri road and Benin-Patani express roads where army maintain regular stop and checks on the road be it raining or sunny. Also interaction with the officers and commuters revealed that when it is raining heavy most of the officers retire to the station or base, to return after the rain, and same is said of hot afternoon.</p><p><xref ref-type="table" rid="table3">Table 3</xref> showed 0.90, 0.79 and 0.65 correlation values between temperature, rainfall and police street patrol, highway patrol and police investigation respectively, this indicate that temperature and rainfall has 80%, 63%, and 43% contribution to police street patrol, highway patrol and police investigation respectively in the state. However, motivation, vehicles availability, gun/bullet availability, funding etc are responsible for the other percentage of the factors that affect police prompt response to crime in the state. Thus indicating that as rainfall and temperature increases there responding increase in the police operation in the state. Tables 4-6 showed the standardized coefficient and t values for highway patrol, street patrol and police investigation. The t values of −1.291, −1.012 and −1.433 for highway patrol, street patrol and police investigation respectively showed that police operation are significant at p &lt; 0.05. Thus police operations in the state are significantly dependent on temperature and rainfall. The negative values indicate that as rainfall and temperature increases, there is reduction in police activities on the various roads and street in Delta state. It is therefore required that police incorporate weather as a decision variable when deciding on the level and intensity of policing [<xref ref-type="bibr" rid="scirp.56511-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.56511-ref13">13</xref>] . First, police de-</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Mean monthly climate, police and vigilante operation</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Months</th><th align="center" valign="middle" >Rainfall (mm)</th><th align="center" valign="middle" >Temp (˚C)</th><th align="center" valign="middle" >Vigilante on street</th><th align="center" valign="middle" >Highway patrol operation</th><th align="center" valign="middle" >Street patrol</th><th align="center" valign="middle" >Police investigation</th></tr></thead><tr><td align="center" valign="middle" >January</td><td align="center" valign="middle" >21</td><td align="center" valign="middle" >29.2</td><td align="center" valign="middle" >864</td><td align="center" valign="middle" >62</td><td align="center" valign="middle" >221</td><td align="center" valign="middle" >49</td></tr><tr><td align="center" valign="middle" >February</td><td align="center" valign="middle" >86</td><td align="center" valign="middle" >30.6</td><td align="center" valign="middle" >550</td><td align="center" valign="middle" >71</td><td align="center" valign="middle" >263</td><td align="center" valign="middle" >52</td></tr><tr><td align="center" valign="middle" >March</td><td align="center" valign="middle" >67</td><td align="center" valign="middle" >30</td><td align="center" valign="middle" >459</td><td align="center" valign="middle" >65</td><td align="center" valign="middle" >266</td><td align="center" valign="middle" >55</td></tr><tr><td align="center" valign="middle" >April</td><td align="center" valign="middle" >138</td><td align="center" valign="middle" >30.9</td><td align="center" valign="middle" >778</td><td align="center" valign="middle" >55</td><td align="center" valign="middle" >250</td><td align="center" valign="middle" >56</td></tr><tr><td align="center" valign="middle" >May</td><td align="center" valign="middle" >209</td><td align="center" valign="middle" >30.5</td><td align="center" valign="middle" >655</td><td align="center" valign="middle" >42</td><td align="center" valign="middle" >140</td><td align="center" valign="middle" >56</td></tr><tr><td align="center" valign="middle" >June</td><td align="center" valign="middle" >383</td><td align="center" valign="middle" >29.2</td><td align="center" valign="middle" >578</td><td align="center" valign="middle" >42</td><td align="center" valign="middle" >120</td><td align="center" valign="middle" >60</td></tr><tr><td align="center" valign="middle" >July</td><td align="center" valign="middle" >411</td><td align="center" valign="middle" >29</td><td align="center" valign="middle" >360</td><td align="center" valign="middle" >33</td><td align="center" valign="middle" >109</td><td align="center" valign="middle" >45</td></tr><tr><td align="center" valign="middle" >August</td><td align="center" valign="middle" >47</td><td align="center" valign="middle" >29.7</td><td align="center" valign="middle" >740</td><td align="center" valign="middle" >39</td><td align="center" valign="middle" >131</td><td align="center" valign="middle" >60</td></tr><tr><td align="center" valign="middle" >September</td><td align="center" valign="middle" >421</td><td align="center" valign="middle" >28.6</td><td align="center" valign="middle" >340</td><td align="center" valign="middle" >32</td><td align="center" valign="middle" >82</td><td align="center" valign="middle" >46</td></tr><tr><td align="center" valign="middle" >October</td><td align="center" valign="middle" >369</td><td align="center" valign="middle" >31.6</td><td align="center" valign="middle" >772</td><td align="center" valign="middle" >58</td><td align="center" valign="middle" >147</td><td align="center" valign="middle" >66</td></tr><tr><td align="center" valign="middle" >November</td><td align="center" valign="middle" >67</td><td align="center" valign="middle" >30.8</td><td align="center" valign="middle" >880</td><td align="center" valign="middle" >61</td><td align="center" valign="middle" >322</td><td align="center" valign="middle" >75</td></tr><tr><td align="center" valign="middle" >December</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >30.5</td><td align="center" valign="middle" >903</td><td align="center" valign="middle" >78</td><td align="center" valign="middle" >369</td><td align="center" valign="middle" >76</td></tr></tbody></table></table-wrap><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> No. of check points during rainy day and sunny day</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Roads</th><th align="center" valign="middle" >Rainy Day</th><th align="center" valign="middle" >Sunny Day</th></tr></thead><tr><td align="center" valign="middle" >Agbor/Sapele</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >15</td></tr><tr><td align="center" valign="middle" >Benin-Asaba</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >11</td></tr><tr><td align="center" valign="middle" >Benin-Patani</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >17</td></tr><tr><td align="center" valign="middle" >Ughelli-Asaba</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >8</td></tr><tr><td align="center" valign="middle" >Asaba-Ilah</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >5</td></tr><tr><td align="center" valign="middle" >Eku-Warri</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >8</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >64</td></tr></tbody></table></table-wrap><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Temperature, rainfall correlation with police street patrol, highway patrol and police investigation</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Model</th><th align="center" valign="middle" >R</th><th align="center" valign="middle" >R Square</th><th align="center" valign="middle" >Adjusted R Square</th><th align="center" valign="middle" >Std. Error of the Estimate</th></tr></thead><tr><td align="center" valign="middle" >Street Patrol</td><td align="center" valign="middle" >0.895 (a)</td><td align="center" valign="middle" >0.802</td><td align="center" valign="middle" >0.758</td><td align="center" valign="middle" >45.61233</td></tr><tr><td align="center" valign="middle" >Highway Patrol</td><td align="center" valign="middle" >0.793</td><td align="center" valign="middle" >0.628</td><td align="center" valign="middle" >0.545</td><td align="center" valign="middle" >10.25607</td></tr><tr><td align="center" valign="middle" >Police Investigation</td><td align="center" valign="middle" >0.652</td><td align="center" valign="middle" >0.425</td><td align="center" valign="middle" >0.297</td><td align="center" valign="middle" >8.50612</td></tr></tbody></table></table-wrap><p>(a) Predictors: (Constant), Temp, Rainfall.</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Temperature, rainfall and highway patrol standardized coefficients (a)</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Model</th><th align="center" valign="middle"  rowspan="2"  ></th><th align="center" valign="middle"  colspan="2"  >Unstandardized Coefficients</th><th align="center" valign="middle" >Standardized Coefficients</th><th align="center" valign="middle" >T</th><th align="center" valign="middle" >Sig.</th></tr></thead><tr><td align="center" valign="middle" >B</td><td align="center" valign="middle" >Std. Error</td><td align="center" valign="middle" >Beta</td><td align="center" valign="middle" >B</td><td align="center" valign="middle" >Std. Error</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >1</td><td align="center" valign="middle" >(Constant)</td><td align="center" valign="middle" >−140.019</td><td align="center" valign="middle" >108.476</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >−1.291</td><td align="center" valign="middle" >0.229</td></tr><tr><td align="center" valign="middle" >Rainfall</td><td align="center" valign="middle" >−0.053</td><td align="center" valign="middle" >0.020</td><td align="center" valign="middle" >−0.565</td><td align="center" valign="middle" >−2.640</td><td align="center" valign="middle" >0.027</td></tr><tr><td align="center" valign="middle" >Temp</td><td align="center" valign="middle" >6.755</td><td align="center" valign="middle" >3.568</td><td align="center" valign="middle" >0.405</td><td align="center" valign="middle" >1.893</td><td align="center" valign="middle" >0.091</td></tr></tbody></table></table-wrap><p>(a) Dependent Variable: Highway Patrol.</p><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> Temperature, rainfall and police street patrol coefficients (a)</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Model</th><th align="center" valign="middle"  rowspan="2"  ></th><th align="center" valign="middle"  colspan="2"  >Unstandardized Coefficients</th><th align="center" valign="middle" >Standardized Coefficients</th><th align="center" valign="middle" >T</th><th align="center" valign="middle" >Sig.</th></tr></thead><tr><td align="center" valign="middle" >B</td><td align="center" valign="middle" >Std. Error</td><td align="center" valign="middle" >Beta</td><td align="center" valign="middle" >B</td><td align="center" valign="middle" >Std. Error</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >1</td><td align="center" valign="middle" >(Constant)</td><td align="center" valign="middle" >−627.879</td><td align="center" valign="middle" >620.411</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >−1.012</td><td align="center" valign="middle" >0.338</td></tr><tr><td align="center" valign="middle" >Rainfall</td><td align="center" valign="middle" >−0.384</td><td align="center" valign="middle" >0.114</td><td align="center" valign="middle" >−0.677</td><td align="center" valign="middle" >−3.370</td><td align="center" valign="middle" >0.008</td></tr><tr><td align="center" valign="middle" >Temp</td><td align="center" valign="middle" >29.987</td><td align="center" valign="middle" >20.405</td><td align="center" valign="middle" >0.295</td><td align="center" valign="middle" >1.470</td><td align="center" valign="middle" >0.176</td></tr></tbody></table></table-wrap><p>(a) Dependent Variable: Street Patrol.</p><table-wrap id="table6" ><label><xref ref-type="table" rid="table6">Table 6</xref></label><caption><title> Temperature, rainfall and police investigation coefficients (a)</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Model</th><th align="center" valign="middle"  rowspan="2"  ></th><th align="center" valign="middle"  colspan="2"  >Unstandardized Coefficients</th><th align="center" valign="middle" >Standardized Coefficients</th><th align="center" valign="middle" >T</th><th align="center" valign="middle" >Sig.</th></tr></thead><tr><td align="center" valign="middle" >B</td><td align="center" valign="middle" >Std. Error</td><td align="center" valign="middle" >Beta</td><td align="center" valign="middle" >B</td><td align="center" valign="middle" >Std. Error</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >1</td><td align="center" valign="middle" >(Constant)</td><td align="center" valign="middle" >−128.902</td><td align="center" valign="middle" >89.967</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >−1.433</td><td align="center" valign="middle" >0.186</td></tr><tr><td align="center" valign="middle" >Rainfall</td><td align="center" valign="middle" >−0.012</td><td align="center" valign="middle" >0.017</td><td align="center" valign="middle" >−0.190</td><td align="center" valign="middle" >−0.714</td><td align="center" valign="middle" >0.493</td></tr><tr><td align="center" valign="middle" >Temp</td><td align="center" valign="middle" >6.293</td><td align="center" valign="middle" >2.959</td><td align="center" valign="middle" >0.566</td><td align="center" valign="middle" >2.127</td><td align="center" valign="middle" >0.062</td></tr></tbody></table></table-wrap><p>(a) Dependent Variable: Police investigation.</p><table-wrap id="table7" ><label><xref ref-type="table" rid="table7">Table 7</xref></label><caption><title> Relationship between temperature, rainfall and vigilante</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Model</th><th align="center" valign="middle" >R</th><th align="center" valign="middle" >R Square</th><th align="center" valign="middle" >Adjusted R Square</th><th align="center" valign="middle" >Std. Error of the Estimate</th></tr></thead><tr><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.736(a)</td><td align="center" valign="middle" >0.542</td><td align="center" valign="middle" >0.441</td><td align="center" valign="middle" >148.48042</td></tr></tbody></table></table-wrap><p>(a) Predictors: (Constant), Temp, Rainfall.</p><table-wrap id="table8" ><label><xref ref-type="table" rid="table8">Table 8</xref></label><caption><title> Correlations</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >Variables</th><th align="center" valign="middle" >Vigilante</th><th align="center" valign="middle" >Rainfall</th><th align="center" valign="middle" >Temp</th></tr></thead><tr><td align="center" valign="middle" >Pearson Correlation</td><td align="center" valign="middle" >Vigilante</td><td align="center" valign="middle" >1.000</td><td align="center" valign="middle" >0.768</td><td align="center" valign="middle" >−0.692</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Rainfall</td><td align="center" valign="middle" >−0.768</td><td align="center" valign="middle" >1.000</td><td align="center" valign="middle" >−0.842</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Temp</td><td align="center" valign="middle" >−0.692</td><td align="center" valign="middle" >−0.842</td><td align="center" valign="middle" >1.000</td></tr></tbody></table></table-wrap><table-wrap id="table9" ><label><xref ref-type="table" rid="table9">Table 9</xref></label><caption><title> Standardized coefficients (a)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Model</th><th align="center" valign="middle" ></th><th align="center" valign="middle"  colspan="2"  >Unstandardized Coefficients</th><th align="center" valign="middle" >Standardized Coefficients</th><th align="center" valign="middle" >T</th><th align="center" valign="middle" >Sig.</th></tr></thead><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >B</td><td align="center" valign="middle" >Std. Error</td><td align="center" valign="middle" >Beta</td><td align="center" valign="middle" >B</td><td align="center" valign="middle" >Std. Error</td></tr><tr><td align="center" valign="middle" >1</td><td align="center" valign="middle" >(Constant)</td><td align="center" valign="middle" >3388.743</td><td align="center" valign="middle" >1697.693</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1.996</td><td align="center" valign="middle" >0.077</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Rainfall</td><td align="center" valign="middle" >−0.647</td><td align="center" valign="middle" >0.625</td><td align="center" valign="middle" >−0.557</td><td align="center" valign="middle" >−1.035</td><td align="center" valign="middle" >0.327</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Temp</td><td align="center" valign="middle" >−76.661</td><td align="center" valign="middle" >47.908</td><td align="center" valign="middle" >−0.861</td><td align="center" valign="middle" >−1.600</td><td align="center" valign="middle" >0.144</td></tr></tbody></table></table-wrap><p>(a) Dependent Variable: Vigilante.</p><table-wrap id="table10" ><label><xref ref-type="table" rid="table1">Table 1</xref>0</label><caption><title> Perceived factors affecting police and vigilante operation</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Climate factors</th><th align="center" valign="middle" >Yes</th><th align="center" valign="middle" >No</th></tr></thead><tr><td align="center" valign="middle" >Heavy rainfall</td><td align="center" valign="middle" >18 (100%)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >High sunshine</td><td align="center" valign="middle" >17 (94%)</td><td align="center" valign="middle" >1 (6%)</td></tr><tr><td align="center" valign="middle" >Scorching temp 12 - 2 pm</td><td align="center" valign="middle" >18 (100%)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Flooding</td><td align="center" valign="middle" >15 (83%)</td><td align="center" valign="middle" >3 (17%)</td></tr><tr><td align="center" valign="middle" >Gullies</td><td align="center" valign="middle" >13 (72%)</td><td align="center" valign="middle" >5 (28%)</td></tr><tr><td align="center" valign="middle" >High dew</td><td align="center" valign="middle" >15 (83%)</td><td align="center" valign="middle" >3 (17%)</td></tr></tbody></table></table-wrap><p>partments may have already observed the relationship between weather and crime and adjusted police presence accordingly. If the police presence is consistently higher in finer weather, we would expect this to result in fewer crimes occurring as criminals acknowledge the increased probability of being caught, but this is not so in Delta State Second, effort levels of police officers may change depending on weather. Officers in the hot condition reported more aggressive and threatening impressions of the suspect, and were more likely to draw their weapon and shoot the simulated suspect. Succinctly, climate variability and crime cannot be undermined. For example, if it is raining, police may not decide to do a foot patrol. The temperament of police officers may also be affected by weather. Increased temperatures may increase police aggression resulting in more arrests [<xref ref-type="bibr" rid="scirp.56511-ref14">14</xref>] .</p><p><xref ref-type="table" rid="table7">Table 7</xref> showed 0.74 correlation value between temperature, rainfall and vigilante operation, this indicate that temperature and rainfall has 54% contribution to vigilante operation in the state. However, rainfall has inverse relationship (−0.77) and temperature (−0.69) (see <xref ref-type="table" rid="table5">Table 5</xref>), indicating that as rainfall and temperature increases, there reduction in the operation of vigilante operation. The t value of 1.996 is however significant at p &gt; 0.05 (see <xref ref-type="table" rid="table9">Table 9</xref>. Thus vigilante operation in the state is significantly dependent on temperature and rainfall. Based on this the three tier of government should invest more on community policing (vigilante) by motivating then with modern incentives so as to encourage them to work assiduously during when hazards. This is because Ccommunity Security is a powerful approach that builds human security and contributes to wider peace and development goals. If the peace and development community are to make good on our commitments to strengthen relations between states and societies and improve people’s experiences of security, Community policing should become a principal tool shaping the policies and programmes of international actors.</p><p><xref ref-type="table" rid="table1">Table 1</xref>0 revealed the perceived factors. It revealed that 72% and above respondents are of the view that climate factors of gullies, flooding, high dew, high sunshine, scorching temperature in the hours of 12 - 2 pm and heavy rainfall are responsible reduce number of checkpoints and street patrol in Delta state, however temperature and rainfall had 100% influence. This corroborated the earlier view in <xref ref-type="table" rid="table1">Table 1</xref> and those of [<xref ref-type="bibr" rid="scirp.56511-ref8">8</xref>] .</p></sec><sec id="s4"><title>4. Conclusion</title><p>The study showed an evidence of climate change in delta state with a rise of 3˚C in temperature, and decadal rainfall increase of 120 mm; 56 mm and 121 mm in three epochs (1975-1984, 1985-1994 and 1995-2014). However, the first and last decades are wetter than the second epoch. Police and vigilant operations experience a gradual increase from 1975 to 2014, and their operations are significantly dependent on increase in rainfall and rise in temperature. It’s therefore recommended that the federal and state government should provide rain coat, safety boot, umbrella, good vehicles to police and vigilantes on duty; and police officers and vigilantes should embark on regular patrol be it raining or sunny day. This will aid their effective operation when it is raining and during scorching period.</p></sec><sec id="s5"><title>Cite this paper</title><p>Sunday I.Efe,AlexEyefia, (2015) Climate Change Effects on Policing in Delta State, Nigeria. Open Journal of Social Sciences,03,103-111. doi: 10.4236/jss.2015.35015</p></sec></body><back><ref-list><title>References</title><ref id="scirp.56511-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Satterthwaite, D., Huq, S., Pelling, M., Reid, A. and Romero-Lankao, P. (2007) Building Climate Change Resilience in Urban Areas and among Urban Populations in Low-and Middle-Income Countries, Commissioned by the Rockefeller Foundation. 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